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Mogens Fosgerau

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Fosgerau, Mogens, 2011. "How a fast lane may replace a congestion toll," MPRA Paper 42271, University Library of Munich, Germany.

    Mentioned in:

    1. Dealing with congestion: fast lane or toll booth?
      by Economic Logician in Economic Logic on 2012-12-03 21:11:00

Working papers

  1. Mogens Fosgerau & John Rehbeck, 2023. "Nontransitive Preferences and Stochastic Rationalizability: A Behavioral Equivalence," Papers 2304.14631, arXiv.org.

    Cited by:

    1. Wilfried Youmbi, 2024. "Nonparametric Analysis of Random Utility Models Robust to Nontransitive Preferences," Papers 2406.13969, arXiv.org.
    2. Carlos Alos Ferrer & Ernst Fehr & Michele Garagnani, 2024. "Identifying Nontransitive Preferences," Working Papers 413755644, Lancaster University Management School, Economics Department.
    3. Maes, Sebastiaan & Malhotra, Raghav, 2024. "Beyond the Mean : Testing Consumer Rationality through Higher Moments of Demand," CRETA Online Discussion Paper Series 85, Centre for Research in Economic Theory and its Applications CRETA.

  2. Mogens Fosgerau & Emerson Melo & Matthew Shum & Jesper R.-V. Sørensen, 2021. "Some Remarks on CCP-based Estimators of Dynamic Models," Discussion Papers 21-03, University of Copenhagen. Department of Economics.

    Cited by:

    1. David Muller & Emerson Melo & Ruben Schlotter, 2023. "A Distributionally Robust Random Utility Model," Papers 2303.05888, arXiv.org.
    2. Sørensen, Jesper R.-V. & Fosgerau, Mogens, 2022. "How McFadden met Rockafellar and learned to do more with less," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    3. Mogens Fosgerau & Nikolaj Nielsen & Mads Paulsen & Thomas Kj{ae}r Rasmussen & Rui Yao, 2024. "Substitution in the perturbed utility route choice model," Papers 2409.08347, arXiv.org.

  3. André De Palma & Mogens Fosgerau & Julien Monardo, 2021. "The Inverse Product Differentiation Logit Model," THEMA Working Papers 2021-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

    Cited by:

    1. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," NBER Working Papers 29305, National Bureau of Economic Research, Inc.
    2. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    3. Alessandro Iaria, & Wang, Ao, 2021. "An Empirical Model of Quantity Discounts with Large Choice Sets," The Warwick Economics Research Paper Series (TWERPS) 1378, University of Warwick, Department of Economics.
    4. David Muller & Emerson Melo & Ruben Schlotter, 2023. "A Distributionally Robust Random Utility Model," Papers 2303.05888, arXiv.org.
    5. Roy Allen, 2019. "Injectivity and the Law of Demand," Papers 1908.05714, arXiv.org.
    6. Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.
    7. Soetevent, Adriaan R., 2021. "I’d Like to Move It! Consumption Rivalry in the EV Public Charging Market: Demand Estimation with Deterministic Choice Set Variation," EconStor Preprints 228520, ZBW - Leibniz Information Centre for Economics.
    8. Mogens Fosgerau & Emerson Melo & André de Palma & Matthew Shum, 2017. "Discrete Choice and Rational Inattention: A General Equivalence Result," Working Papers hal-01501313, HAL.
    9. Soetevent, Adriaan R., 2024. "I’d like to move it! The effect of consumption rivalry on demand estimation: Evidence from the EV public charging market," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    10. Leandro Benitez & German Coloma, 2022. "Estimación de demanda y simulación de concentraciones horizontales: el caso de Coca-Cola y AdeS en Argentina," Revista de Economía del Rosario, Universidad del Rosario, vol. 25(2), pages 1-22, December.
    11. Iaria, Alessandro & ,, 2020. "Identification and Estimation of Demand for Bundles," CEPR Discussion Papers 14363, C.E.P.R. Discussion Papers.
    12. Mogens Fosgerau & John Rehbeck, 2023. "Nontransitive Preferences and Stochastic Rationalizability: A Behavioral Equivalence," Papers 2304.14631, arXiv.org.

  4. Mogens Fosgerau & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2021. "A perturbed utility route choice model," Papers 2103.13784, arXiv.org, revised Sep 2021.

    Cited by:

    1. Sørensen, Jesper R.-V. & Fosgerau, Mogens, 2022. "How McFadden met Rockafellar and learned to do more with less," Journal of Mathematical Economics, Elsevier, vol. 100(C).

  5. Mogens Fosgerau & Dennis Kristensen, 2020. "Identification of a class of index models: A topological approach," Papers 2004.07900, arXiv.org.

    Cited by:

    1. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," NBER Working Papers 25827, National Bureau of Economic Research, Inc.
    2. Sørensen, Jesper R.-V. & Fosgerau, Mogens, 2022. "How McFadden met Rockafellar and learned to do more with less," Journal of Mathematical Economics, Elsevier, vol. 100(C).

  6. Jiang, Gege & Fosgerau, Mogens & Lo, Hong, 2020. "Route choice, travel time variability, and rational inattention," MPRA Paper 99944, University Library of Munich, Germany.

    Cited by:

    1. Zang, Zhaoqi & Batley, Richard & Xu, Xiangdong & Wang, David Z.W., 2024. "On the value of distribution tail in the valuation of travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
    2. Austin Knies & Jorge Lorca & Emerson Melo, 2020. "A Recursive Logit Model with Choice Aversion and Its Application to Transportation Networks," Papers 2010.02398, arXiv.org, revised Oct 2021.
    3. Maćkowiak, Bartosz & Matějka, Filip & Wiederholt, Mirko, 2021. "Rational inattention: a review," Working Paper Series 2570, European Central Bank.
    4. Knies, Austin & Lorca, Jorge & Melo, Emerson, 2022. "A recursive logit model with choice aversion and its application to transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 47-71.
    5. Wang, Zhaohan & Ramezani, Mohsen & Levinson, David, 2024. "How mandatory are ‘Mandatory’ lane changes? An analytical and experimental study on the costs of missing freeway exits," Transportation Research Part B: Methodological, Elsevier, vol. 186(C).
    6. Li, Manzi & Jiang, Gege & Lo, Hong K., 2022. "Pricing strategy of ride-sourcing services under travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    7. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    8. Roy Allen & John Rehbeck, 2021. "A Generalization of Quantal Response Equilibrium via Perturbed Utility," Games, MDPI, vol. 12(1), pages 1-16, March.
    9. Mai, Tien & Yu, Xinlian & Gao, Song & Frejinger, Emma, 2021. "Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 151(C), pages 42-58.
    10. Chen, Xin & Jiang, Yu & Bláfoss Ingvardson, Jesper & Luo, Xia & Anker Nielsen, Otto, 2023. "I can board, but I’d rather wait: Active boarding delay choice behaviour analysis using smart card data in metro systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).

  7. Jesper R.-V. Soerensen & Mogens Fosgerau, 2020. "How McFadden met Rockafellar and learnt to do more with less," Discussion Papers 20-01, University of Copenhagen. Department of Economics.

    Cited by:

    1. Mogens Fosgerau & Emerson Melo & Matthew Shum & Jesper R.-V. Sørensen, 2021. "Some Remarks on CCP-based Estimators of Dynamic Models," Discussion Papers 21-03, University of Copenhagen. Department of Economics.
    2. Emerson Melo, 2021. "Learning in Random Utility Models Via Online Decision Problems," Papers 2112.10993, arXiv.org, revised Aug 2022.
    3. Paul S. Koh, 2024. "Merger Analysis with Latent Price," Papers 2404.07684, arXiv.org, revised Jul 2024.
    4. Sandomirskiy, Fedor & Ushchev, Philip, 2024. "The geometry of consumer preference aggregation," CEPR Discussion Papers 19100, C.E.P.R. Discussion Papers.
    5. Ejrnæs, Mette & García-Miralles, Esteban & Gørtz, Mette & Lundborg, Petter, 2023. "When Death Was Postponed: The Effect of HIV Medication on Work, Savings, and Marriage," IZA Discussion Papers 16228, Institute of Labor Economics (IZA).
    6. Francesca Arduini, 2024. "Estimating intra-household sharing from time-use data," IFS Working Papers W24/31, Institute for Fiscal Studies.
    7. Cosaert, Sam & Nieto, Adrián & Tatsiramos, Konstantinos, 2023. "Temperature and Joint Time Use," IZA Discussion Papers 16175, Institute of Labor Economics (IZA).
    8. Richard T. Carson & Derrick H. Sun & Yixiao Sun, 2024. "Random Utility Models with Skewed Random Components: the Smallest versus Largest Extreme Value Distribution," Papers 2405.08222, arXiv.org, revised May 2024.
    9. Mogens Fosgerau & Nikolaj Nielsen & Mads Paulsen & Thomas Kj{ae}r Rasmussen & Rui Yao, 2024. "Substitution in the perturbed utility route choice model," Papers 2409.08347, arXiv.org.
    10. Yang, Erya & Kopylov, Igor, 2023. "Random quasi-linear utility," Journal of Economic Theory, Elsevier, vol. 209(C).
    11. Roy Allen, 2024. "Exogenous Consideration and Extended Random Utility," Papers 2405.13945, arXiv.org.
    12. Olivier Bargain, 2024. "Income sources, intrahousehold allocation and individual poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 70(2), pages 291-319, June.
    13. Dieter Saelens, 2022. "Unitary or collective households? A nonparametric rationality and separability test using detailed data on consumption expenditures and time use," Empirical Economics, Springer, vol. 62(2), pages 637-677, February.
    14. Mogens Fosgerau & John Rehbeck, 2023. "Nontransitive Preferences and Stochastic Rationalizability: A Behavioral Equivalence," Papers 2304.14631, arXiv.org.

  8. Mogens Fosgerau, 2019. "Automation and the Value of Time in Passenger Transport," International Transport Forum Discussion Papers 2019/10, OECD Publishing.

    Cited by:

    1. Peer, Stefanie & Müller, Johannes & Naqvi, Asjad & Straub, Markus, 2024. "Introducing shared, electric, autonomous vehicles (SAEVs) in sub-urban zones: Simulating the case of Vienna," Transport Policy, Elsevier, vol. 147(C), pages 232-243.
    2. Liu, Peng & Xu, Shu-Xian & Ong, Ghim Ping & Tian, Qiong & Ma, Shoufeng, 2021. "Effect of autonomous vehicles on travel and urban characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 128-148.
    3. Feess, Eberhard & Muehlheusser, Gerd, 2024. "Autonomous Vehicles: Moral dilemmas and adoption incentives," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).
    4. Luh, Sandro & Kannan, Ramachandran & McKenna, Russell & Schmidt, Thomas J. & Kober, Tom, 2024. "Quantifying the impact of travel time duration and valuation on modal shift in Swiss passenger transportation," Applied Energy, Elsevier, vol. 356(C).
    5. Rashidi, Taha Hossein & Waller, Travis & Axhausen, Kay, 2020. "Reduced value of time for autonomous vehicle users: Myth or reality?," Transport Policy, Elsevier, vol. 95(C), pages 30-36.

  9. Mogens Fosgerau & André de Palma & Julien Monardo, 2018. "Demand Models for Differentiated Goods with Complementarity and Substitutability," Discussion Papers 18-02, University of Copenhagen. Department of Economics.

    Cited by:

    1. Roy Allen, 2019. "Injectivity and the Law of Demand," Papers 1908.05714, arXiv.org.
    2. Roy Allen & John Rehbeck, 2020. "Hicksian complementarity and perturbed utility models," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(2), pages 245-261, October.

  10. Mogens Fosgerau & Emerson Melo & Andre de Palma & Matthew Shum, 2017. "Discrete Choice and Rational Inattention: a General Equivalence Result," Papers 1709.09117, arXiv.org.

    Cited by:

    1. David Müller & Vladimir Shikhman, 2022. "Network manipulation algorithm based on inexact alternating minimization," Computational Management Science, Springer, vol. 19(4), pages 627-664, October.
    2. Botond Kőszegi & Filip Matějka, 2020. "Choice Simplification: A Theory of Mental Budgeting and Naive Diversification [“Fungibility, Labels, and Consumption,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 1153-1207.
    3. Lindbeck, Assar & Weibull, Jörgen, 2020. "Delegation of investment decisions, and optimal remuneration of agents," European Economic Review, Elsevier, vol. 129(C).
    4. Victor H. Aguiar & Maria Jose Boccardi & Nail Kashaev & Jeongbin Kim, 2018. "Random Utility and Limited Consideration," Papers 1812.09619, arXiv.org, revised Jul 2022.
    5. Nchare, Karim, 2021. "Dogit model and rational inattention," Economics Letters, Elsevier, vol. 205(C).
    6. Martin Bustos, 2024. "Identification with Posterior-Separable Information Costs," Papers 2402.09789, arXiv.org.
    7. Maćkowiak, Bartosz & Matějka, Filip & Wiederholt, Mirko, 2021. "Rational inattention: a review," Working Paper Series 2570, European Central Bank.
    8. Mogens Fosgerau & Emerson Melo & Matthew Shum & Jesper R.-V. Sørensen, 2021. "Some Remarks on CCP-based Estimators of Dynamic Models," Discussion Papers 21-03, University of Copenhagen. Department of Economics.
    9. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    10. Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
    11. Emerson Melo, 2022. "On the Distributional Robustness of Finite Rational Inattention Models," Papers 2208.03370, arXiv.org, revised May 2023.
    12. Liao, Moyu, 2024. "Identification of a rational inattention discrete choice model," Journal of Econometrics, Elsevier, vol. 240(1).
    13. Simone Bertoli, 2019. "Rational inattention and migration decisions," Post-Print hal-02315217, HAL.
    14. Cristina Gualdani & Shruti Sinha, 2023. "Identification in Discrete Choice Models with Imperfect Information," Working Papers 949, Queen Mary University of London, School of Economics and Finance.
    15. Gualdani, Cristina & Sinha, Shruti, 2019. "Identification and inference in discrete choice models with imperfect information," TSE Working Papers 19-1049, Toulouse School of Economics (TSE), revised Jun 2020.
    16. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    17. Emerson Melo, 2021. "Learning in Random Utility Models Via Online Decision Problems," Papers 2112.10993, arXiv.org, revised Aug 2022.
    18. Howard, Greg, 2021. "A check for rational inattention," MPRA Paper 108243, University Library of Munich, Germany.
    19. Taro Ohdoko & Satoru Komatsu, 2023. "Integrating a Pareto-Distributed Scale into the Mixed Logit Model: A Mathematical Concept," Mathematics, MDPI, vol. 11(23), pages 1-22, November.
    20. David Muller & Yurii Nesterov & Vladimir Shikhman, 2019. "Discrete choice prox-functions on the simplex," Papers 1909.05591, arXiv.org.
    21. Daniele Caliari, 2024. "Imperfect discrimination, similarity, and stochastic transitivity," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 12(2), pages 199-209, December.
    22. Sørensen, Jesper R.-V. & Fosgerau, Mogens, 2022. "How McFadden met Rockafellar and learned to do more with less," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    23. Emerson Melo, 2021. "Learning In Random Utility Models Via Online Decision Problems," CAEPR Working Papers 2022-003 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    24. Knies, Austin & Lorca, Jorge & Melo, Emerson, 2022. "A recursive logit model with choice aversion and its application to transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 47-71.
    25. Doron Ravid, 2020. "Ultimatum Bargaining with Rational Inattention," American Economic Review, American Economic Association, vol. 110(9), pages 2948-2963, September.
    26. David Muller & Vladimir Shikhman, 2021. "Network manipulation algorithm based on inexact alternating minimization," Papers 2107.03754, arXiv.org, revised Jul 2021.
    27. Flynn, Joel P. & Sastry, Karthik A., 2023. "Strategic mistakes," Journal of Economic Theory, Elsevier, vol. 212(C).
    28. T. Tony Ke & Song Lin, 2020. "Informational Complementarity," Management Science, INFORMS, vol. 66(8), pages 3699-3716, August.
    29. David Muller & Yurii Nesterov & Vladimir Shikhman, 2021. "Dynamic pricing under nested logit demand," Papers 2101.04486, arXiv.org.
    30. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
    31. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.
    32. Emerson Melo, 2022. "On The Distributional Robustness Of Finite Rational Inattention Models," CAEPR Working Papers 2022-011 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    33. Roy Allen, 2024. "Exogenous Consideration and Extended Random Utility," Papers 2405.13945, arXiv.org.
    34. Jiang, Gege & Fosgerau, Mogens & Lo, Hong K., 2020. "Route choice, travel time variability, and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 188-207.
    35. Habib, Khandker Nurul, 2023. "Rational inattention in discrete choice models: Estimable specifications of RI-multinomial logit (RI-MNL) and RI-nested logit (RI-NL) models," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 53-70.
    36. Horan, Sean & Manzini, Paola & Mariotti, Marco, 2022. "When is coarseness not a curse? Comparative statics of the coarse random utility model," Journal of Economic Theory, Elsevier, vol. 202(C).
    37. Mogens Fosgerau & John Rehbeck, 2023. "Nontransitive Preferences and Stochastic Rationalizability: A Behavioral Equivalence," Papers 2304.14631, arXiv.org.

  11. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.

    Cited by:

    1. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    2. Luciano Campos & Danilo Leiva-León & Steven Zapata- Álvarez, 2022. "Latin American Falls, Rebounds and Tail Risks," Borradores de Economia 1201, Banco de la Republica de Colombia.
    3. Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
    4. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    5. Peter J. Boettke & Alexander W. Salter & Daniel J. Smith, 2018. "Money as meta-rule: Buchanan’s constitutional economics as a foundation for monetary stability," Public Choice, Springer, vol. 176(3), pages 529-555, September.
    6. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2020. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," NBER Working Papers 26962, National Bureau of Economic Research, Inc.
    7. Guo Xie & Kai Li, 2023. "Does resident leverage volatility affect corporate profitability?: An empirical study from Chinese A‐share listed companies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1656-1668, April.
    8. Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
    9. Joël Cariolle & Petros G Sekeris, 2023. "How export shocks corrupt: Theory and evidence," Post-Print hal-04217750, HAL.
    10. Isabel Cairo & Jae Sim, 2017. "Income Inequality, Financial Crises and Monetary Policy," 2017 Meeting Papers 1433, Society for Economic Dynamics.
    11. Joshua Brault & Hashmat Khan, 2021. "Indebted Demand in a Two Period Consumption-Saving Model," Carleton Economic Papers 21-13, Carleton University, Department of Economics, revised 05 Jan 2022.
    12. Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    13. Pacicco, Fausto & Serati, Massimiliano & Venegoni, Andrea, 2022. "The Euro Area credit crunch conundrum: Was it demand or supply driven?," Economic Modelling, Elsevier, vol. 106(C).
    14. Jorge Miranda-Pinto & Alvaro Silva & Eric R. Young, 2022. "Business Cycle Asymmetry and Input-Output Structure: The Role of Firm-to-Firm Networks," Working Papers Central Bank of Chile 965, Central Bank of Chile.
    15. Martin Iseringhausen & Ivan Petrella & Konstantinos Theodoridis, 2022. "Aggregate skewness and the business cycle," Working Papers 53, European Stability Mechanism.
    16. Patrick Fève & Pablo Garcia Sanchez & Alban Moura & Olivier Pierrard, 2019. "Costly Default And Asymmetric Real Business Cycles," LIDAM Discussion Papers IRES 2019018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    17. Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Papers No 06/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    18. Eskelinen, Maria, 2021. "Monetary policy, agent heterogeneity and inequality: insights from a three-agent New Keynesian model," Working Paper Series 2590, European Central Bank.
    19. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    20. Panovska, Irina & Zhang, Licheng, 2024. "Jobless recoveries and time variation in labor markets," Journal of Macroeconomics, Elsevier, vol. 81(C).
    21. Richard McManus & F. Gulcin Ozkan & Dawid Trzeciakiewicz, 2021. "Why are Fiscal Multipliers Asymmetric? The Role of Credit Constraints," Economica, London School of Economics and Political Science, vol. 88(349), pages 32-69, January.
    22. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
    23. Ghilardi, Matteo F. & Zilberman, Roy, 2024. "Dividend Taxation and Financial Business Cycles," Economics Letters, Elsevier, vol. 238(C).
    24. Florian Misch & Martin Rey, 2022. "The case for a loan-based euro area stability fund," Discussion Papers 20, European Stability Mechanism, revised 05 May 2022.
    25. Aubhik Khan & Soyoung Lee, 2023. "Persistent Debt and Business Cycles in an Economy with Production Heterogeneity," Staff Working Papers 23-17, Bank of Canada.
    26. Patrick Fève & Pablo Garcia Sanchez & Alban Moura & Olivier Pierrard, 2021. "Costly default and skewed business cycle," Post-Print hal-03346173, HAL.
    27. Marcus Ingholt, 2018. "LTV vs. DTI Constraints: When Did They Bind, and How Do They Interact?," 2018 Meeting Papers 866, Society for Economic Dynamics.
    28. Jean‐François Rouillard, 2023. "Credit Crunch and Downward Nominal Wage Rigidities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(4), pages 889-914, June.
    29. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.

  12. Eliasson, Jonas & Fosgerau, Mogens, 2017. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," Working papers in Transport Economics 2017:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

    Cited by:

    1. Eliasson, Jonas & Savemark, Christian & Franklin, Joel, 2020. "The impact of land use effects in infrastructure appraisal," MPRA Paper 103085, University Library of Munich, Germany.
    2. Yixi Xue & Yi Zhang & Yi Chen, 2019. "An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    3. Mustafa Hamurcu & Tamer Eren, 2020. "Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making," Sustainability, MDPI, vol. 12(9), pages 1-24, April.
    4. Börjesson, Maria & Isacsson, Gunnar & Andersson, Matts & Anderstig, Christer, 2018. "Agglomeration, productivity and the role of transport system improvements," Working papers in Transport Economics 2018:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    5. Knudsen, Elias Stapput & Hjorth, Katrine & Pilegaard, Ninette, 2022. "Wages and accessibility – Evidence from Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 44-61.
    6. Riukula, Krista & Väänänen, Touko, 2024. "Estimating the Labour Market Impacts of Transport Projects in Finland," ETLA Working Papers 120, The Research Institute of the Finnish Economy.
    7. Graham, Daniel J. & Gibbons, Stephen, 2019. "Quantifying Wider Economic Impacts of agglomeration for transport appraisal: Existing evidence and future directions," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    8. Asplund, Disa & Pyddoke, Roger, 2020. "Optimal fares and frequencies for bus services in a small city," Research in Transportation Economics, Elsevier, vol. 80(C).
    9. Gómez-Lobo, Andrés & Micco, Alejandro, 2023. "Urban commuting time and sick-leave medical license use: An empirical study of Santiago, Chile," Economics of Transportation, Elsevier, vol. 33(C).
    10. Holmgren, Johan, 2020. "The effect of public transport quality on car ownership – A source of wider benefits?," Research in Transportation Economics, Elsevier, vol. 83(C).
    11. Seyed Mahdi Miraftabzadeh & Babak Ranjgar & Alessandro Niccolai & Michela Longo, 2024. "Comparative Analysis of Sustainable Electrification in Mediterranean Public Transportation," Sustainability, MDPI, vol. 16(7), pages 1-24, March.
    12. Andersson, Henrik & Hultkrantz, Lars & Lindberg, Gunnar & Nilsson, Jan-Eric, 2017. "The role of economic analysis for investment priorities in Sweden’s transport sector," Working papers in Transport Economics 2017:12, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 23 May 2018.
    13. Xuto, Praj & Bansal, Prateek & Anderson, Richard J. & Graham, Daniel J. & Hörcher, Daniel & Barron, Alexander, 2023. "Examining the impacts of capital investment in London’s Underground: A long-term analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    14. Berry, Carl & Börjesson, Maria, 2024. "Income and fuel price elasticities of car use on micro panel data," Energy Economics, Elsevier, vol. 135(C).
    15. Tscharaktschiew, Stefan, 2020. "Why are highway speed limits really justified? An equilibrium speed choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 317-351.

  13. Mogens Fosgerau & Gege Jiang, 2017. "Travel time variability and rational inattention," Discussion Papers 17-21, University of Copenhagen. Department of Economics.

    Cited by:

    1. Austin Knies & Jorge Lorca & Emerson Melo, 2020. "A Recursive Logit Model with Choice Aversion and Its Application to Transportation Networks," Papers 2010.02398, arXiv.org, revised Oct 2021.
    2. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    3. Knies, Austin & Lorca, Jorge & Melo, Emerson, 2022. "A recursive logit model with choice aversion and its application to transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 47-71.
    4. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.
    5. Melvin Wong & Bilal Farooq, 2019. "Information processing constraints in travel behaviour modelling: A generative learning approach," Papers 1907.07036, arXiv.org, revised Jul 2019.
    6. Li, Tianhao & Chen, Peng & Tian, Ye, 2021. "Personalized incentive-based peak avoidance and drivers’ travel time-savings," Transport Policy, Elsevier, vol. 100(C), pages 68-80.
    7. Li, Manzi & Jiang, Gege & Lo, Hong K., 2022. "Pricing strategy of ride-sourcing services under travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    8. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    9. Han, Xiao & Yu, Yun & Gao, Zi-You & Zhang, H. Michael, 2021. "The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 205-226.
    10. Marra, Alessio Daniele & Corman, Francesco, 2020. "Determining an efficient and precise choice set for public transport based on tracking data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 168-186.
    11. Jiang, Gege & Fosgerau, Mogens & Lo, Hong K., 2020. "Route choice, travel time variability, and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 188-207.
    12. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

  14. Fosgerau, Mogens & Melo, Emerson & Shum, Matt, 2017. "Discrete Choice and Rational Inattention: a General Equivalence Result�," MPRA Paper 76605, University Library of Munich, Germany.

    Cited by:

    1. Mogens Fosgerau & Julien Monardo & André de Palma, 2024. "The Inverse Product Differentiation Logit Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 329-370, November.
    2. Botond Kőszegi & Filip Matějka, 2020. "Choice Simplification: A Theory of Mental Budgeting and Naive Diversification [“Fungibility, Labels, and Consumption,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 1153-1207.
    3. Arindrajit Dube & Jeff Jacobs & Suresh Naidu & Siddharth Suri, 2018. "Monopsony in Online Labor Markets," NBER Working Papers 24416, National Bureau of Economic Research, Inc.
    4. Mogens Fosgerau & Dennis Kristensen, 2021. "Identification of a class of index models: A topological approach," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 121-133.
    5. Lindbeck, Assar & Weibull, Jörgen, 2020. "Delegation of investment decisions, and optimal remuneration of agents," European Economic Review, Elsevier, vol. 129(C).
    6. Victor H. Aguiar & Maria Jose Boccardi & Nail Kashaev & Jeongbin Kim, 2018. "Random Utility and Limited Consideration," Papers 1812.09619, arXiv.org, revised Jul 2022.
    7. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    8. Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
    9. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    10. André de Palma & Julien Monardo, 2017. "The General Nesting Logit (GNL) Model using Aggregate Data," Working Papers hal-01552455, HAL.
    11. David Muller & Yurii Nesterov & Vladimir Shikhman, 2019. "Discrete choice prox-functions on the simplex," Papers 1909.05591, arXiv.org.
    12. Benjamin Hébert & Michael Woodford, 2017. "Rational Inattention and Sequential Information Sampling," NBER Working Papers 23787, National Bureau of Economic Research, Inc.
    13. Matveenko, Andrei & Mikhalishchev, Sergei, 2021. "Attentional role of quota implementation," Journal of Economic Theory, Elsevier, vol. 198(C).
    14. Doron Ravid, 2020. "Ultimatum Bargaining with Rational Inattention," American Economic Review, American Economic Association, vol. 110(9), pages 2948-2963, September.
    15. Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Aldo Rustichini, 2020. "Multinomial logit processes and preference discovery: inside and outside the black box," Papers 2004.13376, arXiv.org, revised Jan 2021.
    16. T. Tony Ke & Song Lin, 2020. "Informational Complementarity," Management Science, INFORMS, vol. 66(8), pages 3699-3716, August.
    17. David Muller & Yurii Nesterov & Vladimir Shikhman, 2021. "Dynamic pricing under nested logit demand," Papers 2101.04486, arXiv.org.
    18. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
    19. Jiang, Gege & Fosgerau, Mogens & Lo, Hong K., 2020. "Route choice, travel time variability, and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 188-207.
    20. Jorge Lorca & Emerson Melo, 2020. "Choice Aversion in Directed Networks," Working Papers Central Bank of Chile 879, Central Bank of Chile.
    21. Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci, 2020. "Multinomial logit processes and preference discovery: outside and inside the black box," Working Papers 663, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

  15. Giulia Carra & Ismir Mulalic & Mogens Fosgerau & Marc Barthelemy, 2016. "Modeling the relation between income and commuting distance," Papers 1602.01578, arXiv.org, revised May 2016.

    Cited by:

    1. Vanni, Fabio, 2024. "A visit generation process for human mobility random graphs with location-specific latent-variables: From land use to travel demand," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    2. Eliasson, Jonas & Fosgerau, Mogens, 2017. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," Working papers in Transport Economics 2017:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    3. Volckart, Oliver, 2023. "How well-integrated was the sixteenth-century Holy Roman Empire?," Economic History Working Papers 118264, London School of Economics and Political Science, Department of Economic History.
    4. Yunke Zhang & Fengli Xu & Lin Chen & Yuan Yuan & James Evans & Luis Bettencourt & Yong Li, 2024. "Counterfactual mobility network embedding reveals prevalent accessibility gaps in U.S. cities," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    5. Marc Barthelemy, 2016. "A global take on congestion in urban areas," Environment and Planning B, , vol. 43(5), pages 800-804, September.
    6. Anzhelika Antipova, 2020. "Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN," Sustainability, MDPI, vol. 12(3), pages 1-21, February.

  16. Mogens Fosgerau & André de Palma, 2016. "Generalized entropy models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01291347, HAL.

    Cited by:

    1. Lindbeck, Assar & Weibull, Jörgen, 2020. "Delegation of investment decisions, and optimal remuneration of agents," European Economic Review, Elsevier, vol. 129(C).
    2. André de Palma & Julien Monardo, 2017. "The General Nesting Logit (GNL) Model using Aggregate Data," Working Papers hal-01552455, HAL.
    3. Mogens, Fosgerau, 2016. "A regression model of product differentiation," MPRA Paper 72786, University Library of Munich, Germany.
    4. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    5. Fosgerau, Mogens & Melo, Emerson & Shum, Matt, 2017. "Discrete Choice and Rational Inattention: a General Equivalence Result�," MPRA Paper 76605, University Library of Munich, Germany.

  17. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: three measures with properties," MPRA Paper 72255, University Library of Munich, Germany.

    Cited by:

    1. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    2. Yu Xiao & Nicolas Coulombel & André de Palma, 2017. "The valuation of travel time reliability: does congestion matter?," Post-Print hal-01465956, HAL.
    3. Adrian Barchański & Renata Żochowska & Marcin Jacek Kłos, 2022. "A Method for the Identification of Critical Interstop Sections in Terms of Introducing Electric Buses in Public Transport," Energies, MDPI, vol. 15(20), pages 1-37, October.
    4. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    5. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    6. Xu, Peng-Cheng & Lu, Qing-Chang & Xie, Chi & Cheong, Taesu, 2024. "Modeling the resilience of interdependent networks: The role of function dependency in metro and bus systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    7. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.
    8. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2016. "The impact of travel time variability and travelers' risk attitudes on the values of time and reliability," Post-Print hal-01923409, HAL.
    9. Teng, Wenxin & Chen, Bi Yu, 2024. "Reliable lifelong planning A*: Technique for re-optimizing reliable shortest paths when travel time distribution updating," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    10. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    11. Taylor, Michael A.P., 2017. "Fosgerau's travel time reliability ratio and the Burr distribution," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 50-63.
    12. Durrmeyer, Isis & Martinez, Nicolas, 2022. "The Welfare Consequences of Urban Traffic Regulations," TSE Working Papers 22-1378, Toulouse School of Economics (TSE), revised Dec 2024.
    13. Gu, Yu & Fu, Xiao & Liu, Zhiyuan & Xu, Xiangdong & Chen, Anthony, 2020. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    14. Chen, Bi Yu & Li, Qingquan & Lam, William H.K., 2016. "Finding the k reliable shortest paths under travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 189-203.

  18. Mogens Fosgerau, 2016. "The Valuation of Travel Time Variability," International Transport Forum Discussion Papers 2016/04, OECD Publishing.

    Cited by:

    1. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    2. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.

  19. Fosgerau, Mogens, 2015. "Congestion in the bathtub," MPRA Paper 63029, University Library of Munich, Germany.

    Cited by:

    1. Günter Knieps & Thomas Griese & André Grüttner & Oliver Rottmann & Hans-Wilhelm Schiffer & Gernot Sieg & David Stadelmann & Heiner Monheim, 2018. "Fahrverbote, City-Maut, kostenloser öffentlicher Nahverkehr: Wege aus dem Verkehrskollaps?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(09), pages 03-22, May.
    2. Gu, Ziyuan & Li, Yifan & Saberi, Meead & Rashidi, Taha H. & Liu, Zhiyuan, 2023. "Macroscopic parking dynamics and equitable pricing: Integrating trip-based modeling with simulation-based robust optimization," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 354-381.
    3. Ludovic Leclercq & Mahendra Paipuri, 2019. "Macroscopic Traffic Dynamics Under Fast-Varying Demand," Transportation Science, INFORMS, vol. 53(6), pages 1526-1545, November.
    4. Zheng, Nan & Geroliminis, Nikolas, 2020. "Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 357-374.
    5. Haddad, Jack & Zheng, Zhengfei, 2020. "Adaptive perimeter control for multi-region accumulation-based models with state delays," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 133-153.
    6. Frascaria, Dario & Olver, Neil & Verhoef, Erik, 2020. "Emergent hypercongestion in Vickrey bottleneck networks," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 523-538.
    7. Abhishek Ranjan & Mogens Fosgerau & Erik Jenelius, 2019. "Emergence of an Urban Traffic Macroscopic Fundamental Diagram," Discussion Papers 19-04, University of Copenhagen. Department of Economics.
    8. Kaddoura, Ihab & Nagel, Kai, 2019. "Congestion pricing in a real-world oriented agent-based simulation context," Research in Transportation Economics, Elsevier, vol. 74(C), pages 40-51.
    9. Yu Xiao & Nicolas Coulombel & André de Palma, 2017. "The valuation of travel time reliability: does congestion matter?," Post-Print hal-01465956, HAL.
    10. Erik (E.T.) Verhoef, 2017. "Optimal Congestion Pricing with Diverging Long-run and Short-run Scheduling Preferences," Tinbergen Institute Discussion Papers 17-077/VIII, Tinbergen Institute.
    11. Batista, S.F.A. & Leclercq, Ludovic & Geroliminis, Nikolas, 2019. "Estimation of regional trip length distributions for the calibration of the aggregated network traffic models," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 192-217.
    12. Kathrin Goldmann & Gernot Sieg, 2018. "Economic implications of phantom traffic jams: Evidence from traffic experiments," Working Papers 26, Institute of Transport Economics, University of Muenster.
    13. Jin, Wen-Long, 2020. "Generalized bathtub model of network trip flows," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 138-157.
    14. Collins, Mor & Etzioni, Shelly & Ben-Elia, Eran, 2024. "Travel behavior and system dynamics in a simple gamified automated multimodal network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    15. Pandey, Ayush & Lehe, Lewis J. & Gayah, Vikash V., 2024. "Local stability of traffic equilibria in an isotropic network," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    16. Bao, Yue & Verhoef, Erik T. & Koster, Paul, 2021. "Leaving the tub: The nature and dynamics of hypercongestion in a bathtub model with a restricted downstream exit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    17. Lehe, Lewis J., 2017. "Downtown tolls and the distribution of trip lengths," Economics of Transportation, Elsevier, vol. 11, pages 23-32.
    18. Yang, Lei & Yin, Suwan & Han, Ke & Haddad, Jack & Hu, Minghua, 2017. "Fundamental diagrams of airport surface traffic: Models and applications," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 29-51.
    19. Dantsuji, Takao & Takayama, Yuki & Fukuda, Daisuke, 2023. "Perimeter control in a mixed bimodal bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 267-291.
    20. Huang, Y.P. & Xiong, J.H. & Sumalee, A. & Zheng, N. & Lam, W.H.K. & He, Z.B. & Zhong, R.X., 2020. "A dynamic user equilibrium model for multi-region macroscopic fundamental diagram systems with time-varying delays," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 1-25.
    21. Liu, Wei & Geroliminis, Nikolas, 2016. "Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 470-494.
    22. Bao, Yue & Yang, Hai & Gao, Ziyou & Xu, Hongli, 2023. "How do pre-event activities alleviate congestion and increase attendees’ travel utility and the venue's profit during a special event?," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 332-353.
    23. Takao Dantsuji & Daisuke Fukuda & Nan Zheng, 2021. "Simulation-based joint optimization framework for congestion mitigation in multimodal urban network: a macroscopic approach," Transportation, Springer, vol. 48(2), pages 673-697, April.
    24. Chen, Zhi & Wu, Wen-Xiang & Huang, Hai-Jun & Shang, Hua-Yan, 2022. "Modeling traffic dynamics in periphery-downtown urban networks combining Vickrey's theory with Macroscopic Fundamental Diagram: user equilibrium, system optimum, and cordon pricing," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 278-303.
    25. Lamotte, Raphaël & Geroliminis, Nikolas, 2018. "The morning commute in urban areas with heterogeneous trip lengths," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 794-810.
    26. Richard Arnott & Anatolii Kokoza & Mehdi Naji, 2016. "A Model of Rush-Hour Traffic Dynamics in an Isotropic Downtown Area," Working Papers 201612, University of California at Riverside, Department of Economics.
    27. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    28. Zhao, Chuan-Lin & Wu, Hai-Juan & Sun, Yang-Qi & Wu, Hao-Qiu & Niu, Dong-Bao, 2024. "A bathtub model with nonlinear velocity–density relation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).
    29. Toru Seo & Kentaro Wada & Daisuke Fukuda, 2023. "Fundamental diagram of urban rail transit considering train–passenger interaction," Transportation, Springer, vol. 50(4), pages 1399-1424, August.
    30. Kathrin Goldmann & Gernot Sieg, 2020. "Quantifying the phantom jam externality: The case of an Autobahn section in Germany," Working Papers 30, Institute of Transport Economics, University of Muenster.
    31. Mariotte, Guilhem & Leclercq, Ludovic & Laval, Jorge A., 2017. "Macroscopic urban dynamics: Analytical and numerical comparisons of existing models," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 245-267.
    32. Arnott, Richard & Kokoza, Anatolii & Naji, Mehdi, 2016. "Equilibrium traffic dynamics in a bathtub model: A special case," Economics of Transportation, Elsevier, vol. 7, pages 38-52.
    33. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    34. Yildirimoglu, Mehmet & Ramezani, Mohsen, 2020. "Demand management with limited cooperation among travellers: A doubly dynamic approach," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 267-284.
    35. Richard J. Arnott & Anatolii Kokoza & Mehdi Naji, 2015. "A Model of Rush-Hour Traffic in an Isotropic Downtown Area," CESifo Working Paper Series 5465, CESifo.
    36. Akamatsu, Takashi & Wada, Kentaro & Iryo, Takamasa & Hayashi, Shunsuke, 2021. "A new look at departure time choice equilibrium models with heterogeneous users," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 152-182.
    37. Li, Chuanyao & Huang, Haijun, 2019. "Analysis of bathtub congestion with continuous scheduling preference," Research in Transportation Economics, Elsevier, vol. 75(C), pages 45-54.
    38. S. F. A. Batista & Ludovic Leclercq, 2019. "Regional Dynamic Traffic Assignment Framework for Macroscopic Fundamental Diagram Multi-regions Models," Transportation Science, INFORMS, vol. 53(6), pages 1563-1590, November.
    39. Amirgholy, Mahyar & Gao, H. Oliver, 2017. "Modeling the dynamics of congestion in large urban networks using the macroscopic fundamental diagram: User equilibrium, system optimum, and pricing strategies," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 215-237.
    40. Laval, Jorge A. & Leclercq, Ludovic & Chiabaut, Nicolas, 2018. "Minimal parameter formulations of the dynamic user equilibrium using macroscopic urban models: Freeway vs city streets revisited," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 676-686.
    41. Liu, Wei & Szeto, Wai Yuen, 2020. "Learning and managing stochastic network traffic dynamics with an aggregate traffic representation," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 19-46.
    42. Amirgholy, Mahyar & Shahabi, Mehrdad & Gao, H. Oliver, 2017. "Optimal design of sustainable transit systems in congested urban networks: A macroscopic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 261-285.
    43. Lehe, Lewis J. & Pandey, Ayush, 2024. "A bathtub model of transit congestion," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).
    44. Beojone, Caio Vitor & Geroliminis, Nikolas, 2023. "A dynamic multi-region MFD model for ride-sourcing with ridesplitting," Transportation Research Part B: Methodological, Elsevier, vol. 177(C).
    45. Aghamohammadi, Rafegh & Laval, Jorge A., 2020. "Dynamic traffic assignment using the macroscopic fundamental diagram: A Review of vehicular and pedestrian flow models," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 99-118.
    46. Liu, Renming & Jiang, Yu & Seshadri, Ravi & Ben-Akiva, Moshe & Azevedo, Carlos Lima, 2024. "Contextual Bayesian optimization of congestion pricing with day-to-day dynamics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    47. Pavón, Nicolás & Rizzi, Luis Ignacio, 2019. "Road infrastructure and public bus transport service provision under different funding schemes: A simulation analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 89-105.
    48. Zakharenko, Roman, 2020. "The merits of privileged parking," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 193-209.
    49. Jonathan D. Hall, 2024. "Inframarginal Travelers And Transportation Policy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(3), pages 1519-1550, August.
    50. Arnott, Richard & Buli, Joshua, 2018. "Solving for equilibrium in the basic bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 150-175.
    51. Akamatsu, Takashi & Wada, Kentaro & Iryo, Takamasa & Hayashi, Shunsuke, 2018. "Departure time choice equilibrium and optimal transport problems," MPRA Paper 90361, University Library of Munich, Germany.
    52. Hall, Jonathan D. & Savage, Ian, 2019. "Tolling roads to improve reliability," Journal of Urban Economics, Elsevier, vol. 113(C).
    53. Fosgerau, Mogens & Kim, Jinwon & Ranjan, Abhishek, 2018. "Vickrey meets Alonso: Commute scheduling and congestion in a monocentric city," Journal of Urban Economics, Elsevier, vol. 105(C), pages 40-53.

  20. Mai, Tien & Frejinger, Emma & Fosgerau, Mogens, 2015. "A nested recursive logit model for route choice analysis," MPRA Paper 63161, University Library of Munich, Germany.

    Cited by:

    1. Nassir, Neema & Hickman, Mark & Ma, Zhen-Liang, 2019. "A strategy-based recursive path choice model for public transit smart card data," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 528-548.
    2. Austin Knies & Jorge Lorca & Emerson Melo, 2020. "A Recursive Logit Model with Choice Aversion and Its Application to Transportation Networks," Papers 2010.02398, arXiv.org, revised Oct 2021.
    3. Yuki Oyama, 2023. "Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of locally perceived attributes," Papers 2307.08646, arXiv.org.
    4. Song, Yuchen & Li, Dawei & Liu, Dongjie & Cao, Qi & Chen, Junlan & Ren, Gang & Tang, Xiaoyong, 2022. "Modeling activity-travel behavior under a dynamic discrete choice framework with unobserved heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    5. Mogens Fosgerau & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2021. "A perturbed utility route choice model," Papers 2103.13784, arXiv.org, revised Sep 2021.
    6. Mai, Tien & Bastin, Fabian & Frejinger, Emma, 2017. "On the similarities between random regret minimization and mother logit: The case of recursive route choice models," Journal of choice modelling, Elsevier, vol. 23(C), pages 21-33.
    7. Taoyuan Yang & Peng Zhao & Xiangming Yao, 2020. "A Method to Estimate URT Passenger Spatial-Temporal Trajectory with Smart Card Data and Train Schedules," Sustainability, MDPI, vol. 12(6), pages 1-13, March.
    8. Guan, Xiangyang & Chen, Cynthia, 2021. "A behaviorally-integrated individual-level state-transition model that can predict rapid changes in evacuation demand days earlier," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    9. Mai, Tien & Bui, The Viet & Nguyen, Quoc Phong & Le, Tho V., 2023. "Estimation of recursive route choice models with incomplete trip observations," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 313-331.
    10. Papola, Andrea & Tinessa, Fiore & Marzano, Vittorio, 2018. "Application of the Combination of Random Utility Models (CoRUM) to route choice," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 304-326.
    11. Shiva Habibi & Emma Frejinger & Marcus Sundberg, 2019. "An empirical study on aggregation of alternatives and its influence on prediction in car type choice models," Transportation, Springer, vol. 46(3), pages 563-582, June.
    12. Fiore Tinessa & Vittorio Marzano & Andrea Papola, 2021. "Choice probabilities and correlations in closed-form route choice models: specifications and drawbacks," Papers 2110.07224, arXiv.org.
    13. Ding-Mastera, Jing & Gao, Song & Jenelius, Erik & Rahmani, Mahmood & Ben-Akiva, Moshe, 2019. "A latent-class adaptive routing choice model in stochastic time-dependent networks," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 1-17.
    14. Tien Mai & The Viet Bui & Quoc Phong Nguyen & Tho V. Le, 2022. "Estimation of Recursive Route Choice Models with Incomplete Trip Observations," Papers 2204.12992, arXiv.org.
    15. Meyer de Freitas, Lucas & Becker, Henrik & Zimmermann, Maëlle & Axhausen, Kay W., 2019. "Modelling intermodal travel in Switzerland: A recursive logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 200-213.
    16. Hou, Xianlei & Zhang, Rui & Yang, Minghui & Cheng, Shida, 2024. "Modeling the lane-changing behavior of non-motorized vehicles on road segments via social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    17. van Oijen, Tim P. & Daamen, Winnie & Hoogendoorn, Serge P., 2020. "Estimation of a recursive link-based logit model and link flows in a sensor equipped network," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 262-281.
    18. Knies, Austin & Lorca, Jorge & Melo, Emerson, 2022. "A recursive logit model with choice aversion and its application to transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 47-71.
    19. Oyama, Yuki & Hato, Eiji, 2019. "Prism-based path set restriction for solving Markovian traffic assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 528-546.
    20. Liu, Shan & Jiang, Hai, 2022. "Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    21. Yao, Rui & Bekhor, Shlomo, 2022. "A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 273-294.
    22. Selin Damla Ahipaşaoğlu & Uğur Arıkan & Karthik Natarajan, 2019. "Distributionally Robust Markovian Traffic Equilibrium," Transportation Science, INFORMS, vol. 53(6), pages 1546-1562, November.
    23. Mai, Tien & Frejinger, Emma & Fosgerau, Mogens & Bastin, Fabian, 2017. "A dynamic programming approach for quickly estimating large network-based MEV models," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 179-197.
    24. Mai, Tien, 2016. "A method of integrating correlation structures for a generalized recursive route choice model," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 146-161.
    25. Cortés, Cristián E. & Donoso, Pedro & Gutiérrez, Leonel & Herl, Daniel & Muñoz, Diego, 2023. "A recursive stochastic transit equilibrium model estimated using passive data from Santiago, Chile," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    26. Tran, Hung & Mai, Tien, 2024. "Network-based representations and dynamic discrete choice models for multiple discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 184(C).
    27. Mogens Fosgerau & Nikolaj Nielsen & Mads Paulsen & Thomas Kj{ae}r Rasmussen & Rui Yao, 2024. "Substitution in the perturbed utility route choice model," Papers 2409.08347, arXiv.org.
    28. Oyama, Yuki, 2024. "Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of visually perceived attributes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    29. Evanthia Kazagli & Michel Bierlaire & Matthieu de Lapparent, 2020. "Operational route choice methodologies for practical applications," Transportation, Springer, vol. 47(1), pages 43-74, February.
    30. Guarda, Pablo & Qian, Sean, 2024. "Statistical inference of travelers’ route choice preferences with system-level data," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    31. Oyama, Yuki & Hara, Yusuke & Akamatsu, Takashi, 2022. "Markovian traffic equilibrium assignment based on network generalized extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 135-159.
    32. Oskar Blom Västberg & Anders Karlström & Daniel Jonsson & Marcus Sundberg, 2020. "A Dynamic Discrete Choice Activity-Based Travel Demand Model," Transportation Science, INFORMS, vol. 54(1), pages 21-41, January.
    33. Kazagli, Evanthia & Bierlaire, Michel & Flötteröd, Gunnar, 2016. "Revisiting the route choice problem: A modeling framework based on mental representations," Journal of choice modelling, Elsevier, vol. 19(C), pages 1-23.
    34. Mai, Tien & Yu, Xinlian & Gao, Song & Frejinger, Emma, 2021. "Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 151(C), pages 42-58.
    35. Zhang, Pujun & Lei, Dazhou & Liu, Shan & Jiang, Hai, 2024. "Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    36. Jiang, Gege & Fosgerau, Mogens & Lo, Hong K., 2020. "Route choice, travel time variability, and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 188-207.
    37. Yuki Oyama, 2022. "Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach," Papers 2204.01215, arXiv.org, revised Jan 2023.
    38. Hung Tran & Tien Mai, 2023. "Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis," Papers 2306.04606, arXiv.org.
    39. Rambha, Tarun & Nozick, Linda K. & Davidson, Rachel, 2021. "Modeling hurricane evacuation behavior using a dynamic discrete choice framework," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 75-100.

  21. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," MPRA Paper 67053, University Library of Munich, Germany.

    Cited by:

    1. van Cranenburgh, Sander & Chorus, Caspar G., 2017. "Willingness to Pay-inference in the absence of rejected propositions," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 35-42.
    2. Vautard, Félix & Liu, Chengxi & Fröidh, Oskar & Byström, Camilla, 2021. "Estimation of interregional rail passengers’ valuations for their desired departure times," Transport Policy, Elsevier, vol. 103(C), pages 183-196.
    3. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
    4. Oehlmann, Malte & Meyerhoff, Jürgen & Mariel, Petr & Weller, Priska, 2017. "Uncovering context-induced status quo effects in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 59-73.

  22. Börjesson, Maria & Fosgerau, Mogens, 2015. "Response Time Patterns in a Stated Choice Experiment," MPRA Paper 62002, University Library of Munich, Germany.

    Cited by:

    1. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 520-541.
    2. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Working papers in Transport Economics 2018:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    3. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    4. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    5. Erlend Dancke Sandorf, 2019. "Did You Miss Something? Inattentive Respondents in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1197-1235, August.
    6. Campbell, Danny & Mørkbak, Morten Raun & Olsen, Søren Bøye, 2018. "The link between response time and preference, variance and processing heterogeneity in stated choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 18-34.
    7. Peer, Stefanie & Börjesson, Maria, 2018. "Temporal framing of stated preference experiments: does it affect valuations?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 319-333.

  23. Fosgerau, Mogens & Engelson, Leonid & Franklin, Joel, 2014. "Commuting for meetings," MPRA Paper 54335, University Library of Munich, Germany.

    Cited by:

    1. André de Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Working Papers hal-01117732, HAL.
    2. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    3. Guillaume Monchambert & André de Palma, 2014. "Public transport reliability and commuter strategy," Post-Print hal-00827972, HAL.
    4. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    5. Khademi, Navid & Kharrazi, Hamed & Chen, Anthony & Chaiyasarn, Krisada & Zerguini, Seghir, 2024. "Departure time choices and a modeling framework for a guidance system," Journal of choice modelling, Elsevier, vol. 51(C).
    6. Zhao, Yan & Guo, Xiaolei & Liu, Henry X., 2021. "The impact of autonomous vehicles on commute ridesharing with uncertain work end time," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 221-248.
    7. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    8. Zhang, Wei & Jenelius, Erik & Ma, Xiaoliang, 2017. "Freight transport platoon coordination and departure time scheduling under travel time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 1-23.

  24. Fosgerau, Mogens & Jensen, Thomas C., 2013. "A green reform is not always green," MPRA Paper 42264, University Library of Munich, Germany.

    Cited by:

    1. De Borger, Bruno & Mulalic, Ismir & Rouwendal, Jan, 2016. "Substitution between cars within the household," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 135-156.
    2. Huang, Jian & Leng, Mingming & Liang, Liping & Luo, Chunlin, 2014. "Qualifying for a government’s scrappage program to stimulate consumers’ trade-in transactions? Analysis of an automobile supply chain involving a manufacturer and a retailer," European Journal of Operational Research, Elsevier, vol. 239(2), pages 363-376.

  25. Eliasson, Jonas & Fosgerau, Mogens, 2013. "Cost overruns and demand shortfalls – deception or selection?," MPRA Paper 49744, University Library of Munich, Germany.

    Cited by:

    1. Hultkrantz, Lars & Krüger, Niclas & Mantalos , Panagiotis, 2012. "Risk-adjusted long term social rates of discount for transportation infrastructure investment," Working Papers 2012:14, Örebro University, School of Business.
    2. Robin Lindsey & André de Palma, 2014. "Cost recovery from congestion tolls with long-run uncertainty," Post-Print hal-01311130, HAL.
    3. Swei, Omar & Gregory, Jeremy & Kirchain, Randolph, 2017. "Construction cost estimation: A parametric approach for better estimates of expected cost and variation," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 295-305.
    4. Thureson, Disa & Eliasson, Jonas, 2016. "Does uncertainty make cost-benefit analyses pointless?," Working papers in Transport Economics 2016:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    5. Schubert, Daniel & Sys, Christa & Vanelslander, Thierry & Roumboutsos, Athena, 2022. "No-queue road pricing: A comprehensive policy instrument for Europe?," Utilities Policy, Elsevier, vol. 78(C).
    6. Nicolaisen, Morten Skou & Næss, Petter, 2015. "Roads to nowhere: The accuracy of travel demand forecasts for do-nothing alternatives," Transport Policy, Elsevier, vol. 37(C), pages 57-63.
    7. Andersson, Henrik & Hultkrantz, Lars & Lindberg, Gunnar & Nilsson, Jan-Eric, 2017. "The role of economic analysis for investment priorities in Sweden’s transport sector," Working papers in Transport Economics 2017:12, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 23 May 2018.
    8. Mackie, Peter & Worsley, Tom & Eliasson, Jonas, 2014. "Transport appraisal revisited," Research in Transportation Economics, Elsevier, vol. 47(C), pages 3-18.
    9. Dejan Makovšek & Adrian Bridge, 2021. "Procurement Choices and Infrastructure Costs," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 277-327, National Bureau of Economic Research, Inc.
    10. Xu, Xiangdong & Chen, Anthony & Wong, S.C. & Cheng, Lin, 2015. "Selection bias in build-operate-transfer transportation project appraisals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 245-251.
    11. Salling, Kim Bang & Leleur, Steen, 2015. "Accounting for the inaccuracies in demand forecasts and construction cost estimations in transport project evaluation," Transport Policy, Elsevier, vol. 38(C), pages 8-18.
    12. Barfod, Michael Bruhn & Salling, Kim Bang, 2015. "A new composite decision support framework for strategic and sustainable transport appraisals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 1-15.
    13. Sang, Jinyan & Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2019. "Design of build-operate-transfer contract for integrated rail and property development with uncertainty in future urban population," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 36-66.
    14. Andersson, Matts & Brundell-Freij, Karin & Eliasson, Jonas, 2016. "Validation of reference forecasts for passenger transport," Working papers in Transport Economics 2016:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 07 Jul 2016.

  26. Mogens Fosgerau & Kenneth Small, 2013. "Endogenous Scheduling Preferences and Congestion," Working Papers 131403, University of California-Irvine, Department of Economics, revised May 2014.

    Cited by:

    1. André de Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Working Papers hal-01117732, HAL.
    2. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    3. Takayama, Yuki, 2014. "Bottleneck congestion and distribution of work start times: The economics of staggered work hours revisited," MPRA Paper 59033, University Library of Munich, Germany.
    4. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
    5. Erik (E.T.) Verhoef, 2017. "Optimal Congestion Pricing with Diverging Long-run and Short-run Scheduling Preferences," Tinbergen Institute Discussion Papers 17-077/VIII, Tinbergen Institute.
    6. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    7. Peer, Stefanie & Verhoef, Erik T., 2013. "Equilibrium at a bottleneck when long-run and short-run scheduling preferences diverge," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 12-27.
    8. André de Palma & Nathalie Picard & Robin Lindsey, 2024. "Activity and transportation decisions within households," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 16, pages 426-451, Edward Elgar Publishing.
    9. Mogens, Fosgerau & André, de Palma, 2012. "Congestion in a city with a central bottleneck," MPRA Paper 58725, University Library of Munich, Germany.
    10. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    11. Maya Eden, 2021. "Time‐Inseparable Labor Productivity and the Workweek," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 940-965, July.
    12. Takayama, Yuki & Kuwahara, Masao, 2016. "Scheduling preferences, parking competition, and bottleneck congestion: A model of trip timing and parking location choices by heterogeneous commuters," MPRA Paper 68938, University Library of Munich, Germany.
    13. Owen Bulla & Juan Carlos Muñoz & Hugo Silva, 2019. "The impact of fare-free public transport on travel behavior: evidence," Documentos de Trabajo 531, Instituto de Economia. Pontificia Universidad Católica de Chile..
    14. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    15. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.

  27. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.

    Cited by:

    1. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
    2. Koster, Paul & Peer, Stefanie & Dekker, Thijs, 2015. "Memory, expectation formation and scheduling choices," Economics of Transportation, Elsevier, vol. 4(4), pages 256-265.
    3. Collins, Mor & Etzioni, Shelly & Ben-Elia, Eran, 2024. "Travel behavior and system dynamics in a simple gamified automated multimodal network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    4. Peer, Stefanie & Verhoef, Erik T., 2013. "Equilibrium at a bottleneck when long-run and short-run scheduling preferences diverge," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 12-27.
    5. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    6. Nicolas Coulombel & André de Palma, 2014. "Variability of Travel Time, Congestion, and the Cost of Travel," Post-Print hal-01100106, HAL.
    7. Jonathan D. Hall, 2017. "Improving the fit of structural models of congestion," Working Papers tecipa-590, University of Toronto, Department of Economics.
    8. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    9. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.
    10. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2014. "Bottleneck model revisited: An activity-based perspective," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 262-287.
    11. Yu, Xiaojuan & van den Berg, Vincent A.C. & Li, Zhi-Chun, 2023. "Congestion pricing and information provision under uncertainty: Responsive versus habitual pricing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    12. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    13. André de Palma & Zhi-Chun Li & De-Ping Yu, 2023. "An analytical model for residential location choices of heterogeneous households in a monocentric city with stochastic bottleneck congestion," THEMA Working Papers 2023-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    14. Takayama, Yuki & Kuwahara, Masao, 2016. "Scheduling preferences, parking competition, and bottleneck congestion: A model of trip timing and parking location choices by heterogeneous commuters," MPRA Paper 68938, University Library of Munich, Germany.
    15. Hall, Jonathan D. & Savage, Ian, 2019. "Tolling roads to improve reliability," Journal of Urban Economics, Elsevier, vol. 113(C).

  28. Fosgerau, Mogens & Mabit, Stefan, 2013. "Easy and flexible mixture distributions," MPRA Paper 46078, University Library of Munich, Germany.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Bujosa Bestard, Angel & Riera Font, Antoni, 2021. "Attribute range effects: Preference anomaly or unexplained variance?," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    4. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    5. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    6. Oyama, Yuki & Fukuda, Daisuke & Imura, Naoto & Nishinari, Katsuhiro, 2024. "Do people really want fast and precisely scheduled delivery? E-commerce customers' valuations of home delivery timing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    7. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
    8. Zemo, Kahsay Haile & Termansen, Mette, 2018. "Farmers’ willingness to participate in collective biogas investment: A discrete choice experiment study," Resource and Energy Economics, Elsevier, vol. 52(C), pages 87-101.
    9. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    10. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene & Patruni, Bhanu & Vuk, Goran, 2021. "Using state-of-the-art models in applied work: Travellers willingness to pay for a toll tunnel in Copenhagen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 37-52.
    11. Kandelhardt, Johannes, 2023. "Flexible estimation of random coefficient logit models of differentiated product demand," DICE Discussion Papers 399, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    12. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    13. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Extending the logit-mixed logit model for a combination of random and fixed parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 88-96.
    14. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    15. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    16. Mabit, Stefan L., 2014. "Vehicle type choice under the influence of a tax reform and rising fuel prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 32-42.
    17. Hancock, Thomas O. & Hess, Stephane & Daly, Andrew & Fox, James, 2020. "Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 429-454.
    18. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    19. Jan (J.) Rouwendal, 2017. "Specification Tests for The Multinomial Logit Model Revisited: The Role of Alternative-Specific Constants," Tinbergen Institute Discussion Papers 17-068/VIII, Tinbergen Institute, revised 29 Jan 2018.
    20. Yuki Oyama & Daisuke Fukuda & Naoto Imura & Katsuhiro Nishinari, 2022. "E-commerce users' preferences for delivery options," Papers 2301.00666, arXiv.org, revised Aug 2023.
    21. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    22. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Willingness to pay for regional electricity generation – A question of green values and regional product beliefs?," Energy Economics, Elsevier, vol. 110(C).
    23. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    24. Mikołaj Czajkowski & Wiktor Budziński, 2017. "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers 2017-18, Faculty of Economic Sciences, University of Warsaw.
    25. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    26. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," MPRA Paper 67053, University Library of Munich, Germany.
    27. Daziano, Ricardo A., 2020. "Flexible customer willingness to pay for bundled smart home energy products and services," Resource and Energy Economics, Elsevier, vol. 61(C).
    28. Lu, Zhentong & Shi, Xiaoxia & Tao, Jing, 2023. "Semi-nonparametric estimation of random coefficients logit model for aggregate demand," Journal of Econometrics, Elsevier, vol. 235(2), pages 2245-2265.
    29. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    30. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Consumer preferences for the design of a demand response quota scheme – Results of a choice experiment in Germany," Energy Policy, Elsevier, vol. 167(C).

  29. Fosgerau, Mogens & de Palma, André, 2013. "The dynamics of urban traffic congestion and the price of parking�," MPRA Paper 48433, University Library of Munich, Germany.

    Cited by:

    1. Agarwal, Sumit & Koo, Kang Mo, 2016. "Impact of electronic road pricing (ERP) changes on transport modal choice," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 1-11.
    2. Li, Tianshu & Song, Shunfeng & Yang, Yanmin, 2022. "Driving restrictions, traffic speeds and carbon emissions: Evidence from high-frequency data," China Economic Review, Elsevier, vol. 74(C).
    3. Ling-Ling Xiao & Tian-Liang Liu & Hai-Jun Huang, 2021. "Tradable permit schemes for managing morning commute with carpool under parking space constraint," Transportation, Springer, vol. 48(4), pages 1563-1586, August.
    4. Krishnamurthy, Chandra Kiran B. & Ngo, Nicole S., 2020. "The effects of smart-parking on transit and traffic: Evidence from SFpark," Journal of Environmental Economics and Management, Elsevier, vol. 99(C).
    5. Cats, Oded & Zhang, Chen & Nissan, Albania, 2016. "Survey methodology for measuring parking occupancy: Impacts of an on-street parking pricing scheme in an urban center," Transport Policy, Elsevier, vol. 47(C), pages 55-63.
    6. Zipeng Zhang & Ning Zhang, 2021. "Early Bird Scheme for Parking Management: How Does Parking Play a Role in the Morning Commute Problem," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    7. Lin, XuXun & Yuan, PengCheng, 2018. "A dynamic parking charge optimal control model under perspective of commuters’ evolutionary game behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1096-1110.
    8. Lu, Xiao-Shan & Guo, Ren-Yong & Huang, Hai-Jun & Xu, Xiaoming & Chen, Jiajia, 2021. "Equilibrium analysis of parking for integrated daily commuting," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Francis Ostermeijer & Hans RA Koster & Leonardo Nunes & Jos van Ommeren, 2021. "Citywide parking policy and traffic: Evidence from Amsterdam," Tinbergen Institute Discussion Papers 21-015/VIII, Tinbergen Institute.
    10. Liu, Wei & Geroliminis, Nikolas, 2016. "Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 470-494.
    11. Lu, Xiao-Shan & Huang, Hai-Jun & Guo, Ren-Yong & Xiong, Fen, 2021. "Linear location-dependent parking fees and integrated daily commuting patterns with late arrival and early departure in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 293-322.
    12. Mo, Baichuan & Kong, Hui & Wang, Hao & Wang, Xiaokun (Cara) & Li, Ruimin, 2021. "Impact of pricing policy change on on-street parking demand and user satisfaction: A case study in Nanning, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 445-469.
    13. Eren Inci & Robin Lindsey, 2014. "Garage and Curbside Parking Competition with Search Congestion," ERSA conference papers ersa14p344, European Regional Science Association.
    14. Asplund, Disa & Pyddoke, Roger, 2021. "Optimal pricing of car use in a small city: A case study of Uppsala," Transport Policy, Elsevier, vol. 114(C), pages 88-103.
    15. He, Fang & Yin, Yafeng & Chen, Zhibin & Zhou, Jing, 2015. "Pricing of parking games with atomic players," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 1-12.
    16. Jonathan D. Hall, 2017. "Improving the fit of structural models of congestion," Working Papers tecipa-590, University of Toronto, Department of Economics.
    17. Ostermeijer, Francis & Koster, Hans & Nunes, Leonardo & van Ommeren, Jos, 2022. "Citywide parking policy and traffic: Evidence from Amsterdam," Journal of Urban Economics, Elsevier, vol. 128(C).
    18. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    19. Jie Yang & Fang He & Xi Lin & Max Zuo‐Jun Shen, 2021. "Mechanism Design for Stochastic Dynamic Parking Resource Allocation," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3615-3634, October.
    20. Madsen, Edith & Mulalic, Ismir & Pilegaard, Ninette, 2013. "A model for estimation of the demand for on-street parking," MPRA Paper 52301, University Library of Munich, Germany.
    21. Bevrani, Bayan & Burdett, Robert & Bhaskar, Ashish & Yarlagadda, Prasad K.D.V., 2020. "A multi-criteria multi-commodity flow model for analysing transportation networks," Operations Research Perspectives, Elsevier, vol. 7(C).
    22. Kerstin Westin & Annika Nordlund & Johan Jansson & Jonas Nilsson, 2020. "Goal Framing as a Tool for Changing People’s Car Travel Behavior in Sweden," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    23. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    24. Zakharenko, Roman, 2016. "The time dimension of parking economics," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 211-228.
    25. Gu, Ziyuan & Safarighouzhdi, Farshid & Saberi, Meead & Rashidi, Taha H., 2021. "A macro-micro approach to modeling parking," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 220-244.
    26. Zhi-Chun Li & Li Cheng & André de Palma, 2023. "Ring road investment, cordon tolling, and urban spatial structure: Formulation and a case study," THEMA Working Papers 2023-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    27. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    28. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    29. Zhibin Chen & Stephen Spana & Yafeng Yin & Yuchuan Du, 2019. "An Advanced Parking Navigation System for Downtown Parking," Networks and Spatial Economics, Springer, vol. 19(3), pages 953-968, September.
    30. Huang, Zhihui & Long, Jiancheng & Szeto, W.Y. & Liu, Haoxiang, 2021. "Modeling and managing the morning commute problem with park-and-ride-sharing," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 190-226.
    31. Jin Qin & Yuxin He & Linglin Ni, 2014. "Quantitative Efficiency Evaluation Method for Transportation Networks," Sustainability, MDPI, vol. 6(12), pages 1-15, November.
    32. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun, 2016. "On the morning commute problem with carpooling behavior under parking space constraint," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 383-407.
    33. Amer, Ahmed & Chow, Joseph Y.J., 2017. "A downtown on-street parking model with urban truck delivery behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 51-67.
    34. Wang, Pengfei & Guan, Hongzhi & Liu, Peng, 2020. "Modeling and solving the optimal allocation-pricing of public parking resources problem in urban-scale network," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 74-98.
    35. Eliasson, Jonas & Börjesson, Maria, 2022. "Costs and benefits of parking charges in residential areas," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 95-109.
    36. Takayama, Yuki & Kuwahara, Masao, 2016. "Scheduling preferences, parking competition, and bottleneck congestion: A model of trip timing and parking location choices by heterogeneous commuters," MPRA Paper 68938, University Library of Munich, Germany.
    37. Takayama, Yuki, 2020. "Who gains and who loses from congestion pricing in a monocentric city with a bottleneck?," Economics of Transportation, Elsevier, vol. 24(C).
    38. Perera, Loshaka & Thompson, Russell G. & Wu, Wenyan, 2021. "Toll and subsidy for freight vehicles on urban roads: A policy decision for City Logistics," Research in Transportation Economics, Elsevier, vol. 90(C).
    39. Fu, Yulan & Wang, Chenlan & Liu, Tian-Liang & Huang, Hai-Jun, 2021. "Parking management in the morning commute problem with ridesharing," Research in Transportation Economics, Elsevier, vol. 90(C).
    40. Ma, Rui & Zhang, H.M., 2017. "The morning commute problem with ridesharing and dynamic parking charges," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 345-374.
    41. Vandyck, Toon & Rutherford, Thomas F., 2018. "Regional labor markets, commuting, and the economic impact of road pricing," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 217-236.

  30. Fosgerau, Mogens & Frejinger, Emma & Karlström, Anders, 2013. "A link based network route choice model with unrestricted choice set," Working papers in Transport Economics 2013:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

    Cited by:

    1. Kai Shen & Jan-Dirk Schmöcker & Wenzhe Sun & Ali Gul Qureshi, 2023. "Calibration of sightseeing tour choices considering multiple decision criteria with diminishing reward," Transportation, Springer, vol. 50(5), pages 1897-1921, October.
    2. Ken Hidaka & Toshiyuki Yamamoto, 2021. "Activity Scheduling Behavior of the Visitors to an Outdoor Recreational Facility Using GPS Data," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    3. Wong, Melvin & Farooq, Bilal & Bilodeau, Guillaume-Alexandre, 2016. "Next Direction Route Choice Model for Cyclist Using Panel Data," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319265, Transportation Research Forum.
    4. Nassir, Neema & Hickman, Mark & Ma, Zhen-Liang, 2019. "A strategy-based recursive path choice model for public transit smart card data," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 528-548.
    5. Dieter, Peter & Caron, Matthew & Schryen, Guido, 2023. "Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework," European Journal of Operational Research, Elsevier, vol. 311(1), pages 283-300.
    6. Austin Knies & Jorge Lorca & Emerson Melo, 2020. "A Recursive Logit Model with Choice Aversion and Its Application to Transportation Networks," Papers 2010.02398, arXiv.org, revised Oct 2021.
    7. Yuki Oyama, 2023. "Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of locally perceived attributes," Papers 2307.08646, arXiv.org.
    8. Yadan Yan & Tianzhao Guo & Dongwei Wang, 2021. "Dynamic Accessibility Analysis of Urban Road-to-Freeway Interchanges Based on Navigation Map Paths," Sustainability, MDPI, vol. 13(1), pages 1-17, January.
    9. Song, Yuchen & Li, Dawei & Liu, Dongjie & Cao, Qi & Chen, Junlan & Ren, Gang & Tang, Xiaoyong, 2022. "Modeling activity-travel behavior under a dynamic discrete choice framework with unobserved heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    10. Hewitt, Mike & Frejinger, Emma, 2020. "Data-driven optimization model customization," European Journal of Operational Research, Elsevier, vol. 287(2), pages 438-451.
    11. Mogens Fosgerau & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2021. "A perturbed utility route choice model," Papers 2103.13784, arXiv.org, revised Sep 2021.
    12. Kitthamkesorn, Songyot & Chen, Anthony, 2014. "Unconstrained weibit stochastic user equilibrium model with extensions," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 1-21.
    13. Mai, Tien & Bastin, Fabian & Frejinger, Emma, 2017. "On the similarities between random regret minimization and mother logit: The case of recursive route choice models," Journal of choice modelling, Elsevier, vol. 23(C), pages 21-33.
    14. Guan, Xiangyang & Chen, Cynthia, 2021. "A behaviorally-integrated individual-level state-transition model that can predict rapid changes in evacuation demand days earlier," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    15. Mai, Tien & Bui, The Viet & Nguyen, Quoc Phong & Le, Tho V., 2023. "Estimation of recursive route choice models with incomplete trip observations," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 313-331.
    16. Mai, Tien & Frejinger, Emma & Fosgerau, Mogens, 2015. "A nested recursive logit model for route choice analysis," MPRA Paper 63161, University Library of Munich, Germany.
    17. Mai, Tien & Frejinger, Emma & Bastin, Fabian, 2015. "A misspecification test for logit based route choice models," Economics of Transportation, Elsevier, vol. 4(4), pages 215-226.
    18. Papola, Andrea & Tinessa, Fiore & Marzano, Vittorio, 2018. "Application of the Combination of Random Utility Models (CoRUM) to route choice," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 304-326.
    19. Ding-Mastera, Jing & Gao, Song & Jenelius, Erik & Rahmani, Mahmood & Ben-Akiva, Moshe, 2019. "A latent-class adaptive routing choice model in stochastic time-dependent networks," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 1-17.
    20. C. Angelo Guevara & Caspar G. Chorus & Moshe E. Ben-Akiva, 2016. "Sampling of Alternatives in Random Regret Minimization Models," Transportation Science, INFORMS, vol. 50(1), pages 306-321, February.
    21. Tien Mai & The Viet Bui & Quoc Phong Nguyen & Tho V. Le, 2022. "Estimation of Recursive Route Choice Models with Incomplete Trip Observations," Papers 2204.12992, arXiv.org.
    22. Meyer de Freitas, Lucas & Becker, Henrik & Zimmermann, Maëlle & Axhausen, Kay W., 2019. "Modelling intermodal travel in Switzerland: A recursive logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 200-213.
    23. Wenhao Li & Chengkun Liu & Tao Wang & Yanjie Ji, 2024. "An innovative supervised learning structure for trajectory reconstruction of sparse LPR data," Transportation, Springer, vol. 51(1), pages 73-97, February.
    24. Longsheng Sun & Mark H. Karwan & Changhyun Kwon, 2018. "Generalized Bounded Rationality and Robust Multicommodity Network Design," Operations Research, INFORMS, vol. 66(1), pages 42-57, 1-2.
    25. Blom Västberg, Oskar & Karlström, Anders & Jonsson, Daniel & Sundberg, Marcus, 2016. "Including time in a travel demand model using dynamic discrete choice," MPRA Paper 75336, University Library of Munich, Germany, revised 11 Nov 2016.
    26. Li, Dawei & Feng, Siqi & Song, Yuchen & Lai, Xinjun & Bekhor, Shlomo, 2023. "Asymmetric closed-form route choice models: Formulations and comparative applications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    27. Lai, Xinjun & Bierlaire, Michel, 2015. "Specification of the cross-nested logit model with sampling of alternatives for route choice models," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 220-234.
    28. Liu, Yan & Cirillo, Cinzia, 2018. "A generalized dynamic discrete choice model for green vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 288-302.
    29. Mogens, Fosgerau, 2016. "A regression model of product differentiation," MPRA Paper 72786, University Library of Munich, Germany.
    30. van Oijen, Tim P. & Daamen, Winnie & Hoogendoorn, Serge P., 2020. "Estimation of a recursive link-based logit model and link flows in a sensor equipped network," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 262-281.
    31. Knies, Austin & Lorca, Jorge & Melo, Emerson, 2022. "A recursive logit model with choice aversion and its application to transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 47-71.
    32. Tien Mai & Fabian Bastin & Emma Frejinger, 2018. "A decomposition method for estimating recursive logit based route choice models," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 253-275, September.
    33. Urena Serulle, Nayel & Cirillo, Cinzia, 2017. "The optimal time to evacuate: A behavioral dynamic model on Louisiana resident data," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 447-463.
    34. Roohnavazfar, Mina & Manerba, Daniele & De Martin, Juan Carlos & Tadei, Roberto, 2019. "Optimal paths in multi-stage stochastic decision networks," Operations Research Perspectives, Elsevier, vol. 6(C).
    35. Xu, Xiangdong & Chen, Anthony & Jansuwan, Sarawut & Yang, Chao & Ryu, Seungkyu, 2018. "Transportation network redundancy: Complementary measures and computational methods," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 68-85.
    36. Oyama, Yuki & Hato, Eiji, 2019. "Prism-based path set restriction for solving Markovian traffic assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 528-546.
    37. Kucharski, Rafał & Gentile, Guido, 2019. "Simulation of rerouting phenomena in Dynamic Traffic Assignment with the Information Comply Model," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 414-441.
    38. Liu, Shan & Jiang, Hai, 2022. "Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    39. Yao, Rui & Bekhor, Shlomo, 2022. "A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 273-294.
    40. Li, Qing & Liao, Feixiong & Timmermans, Harry J.P. & Huang, Haijun & Zhou, Jing, 2018. "Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 102-123.
    41. Dong, Han & Cirillo, Cinzia, 2020. "Space-time dynamics: A modeling approach for commuting departure time on linked datasets," Journal of Transport Geography, Elsevier, vol. 82(C).
    42. Jun Li & Xinjun Lai, 2019. "Modelling travellers’ route choice behaviours with the concept of equivalent impedance," Transportation, Springer, vol. 46(1), pages 233-262, February.
    43. Maëlle Zimmermann & Emma Frejinger & Patrice Marcotte, 2021. "A Strategic Markovian Traffic Equilibrium Model for Capacitated Networks," Transportation Science, INFORMS, vol. 55(3), pages 574-591, May.
    44. Oka, Hideki & Hagino, Yasukatsu & Kenmochi, Takeshi & Tani, Ryota & Nishi, Ryuta & Endo, Kotaro & Fukuda, Daisuke, 2019. "Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 305-324.
    45. Selin Damla Ahipaşaoğlu & Uğur Arıkan & Karthik Natarajan, 2019. "Distributionally Robust Markovian Traffic Equilibrium," Transportation Science, INFORMS, vol. 53(6), pages 1546-1562, November.
    46. Mai, Tien & Frejinger, Emma & Fosgerau, Mogens & Bastin, Fabian, 2017. "A dynamic programming approach for quickly estimating large network-based MEV models," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 179-197.
    47. Liu, Shan & Jiang, Hai & Chen, Shuiping & Ye, Jing & He, Renqing & Sun, Zhizhao, 2020. "Integrating Dijkstra’s algorithm into deep inverse reinforcement learning for food delivery route planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    48. Saxena, N. & Rashidi, T.H. & Dixit, V.V. & Waller, S.T., 2019. "Modelling the route choice behaviour under stop-&-go traffic for different car driver segments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 62-72.
    49. Mai, Tien, 2016. "A method of integrating correlation structures for a generalized recursive route choice model," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 146-161.
    50. Nicholas Molyneaux & Riccardo Scarinci & Michel Bierlaire, 2021. "Design and analysis of control strategies for pedestrian flows," Transportation, Springer, vol. 48(4), pages 1767-1807, August.
    51. Cortés, Cristián E. & Donoso, Pedro & Gutiérrez, Leonel & Herl, Daniel & Muñoz, Diego, 2023. "A recursive stochastic transit equilibrium model estimated using passive data from Santiago, Chile," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    52. Tran, Hung & Mai, Tien, 2024. "Network-based representations and dynamic discrete choice models for multiple discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 184(C).
    53. Yuhan Gao & Jan-Dirk Schmöcker, 2021. "Modelling sequential ticket booking choices during Chinese New Year," Transportation, Springer, vol. 48(4), pages 1987-2010, August.
    54. Gardner, Clara Brimnes & Nielsen, Sara Dorthea & Eltved, Morten & Rasmussen, Thomas Kjær & Nielsen, Otto Anker & Nielsen, Bo Friis, 2021. "Calculating conditional passenger travel time distributions in mixed schedule- and frequency-based public transport networks using Markov chains," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 1-17.
    55. Xu, Xin-yue & Liu, Jun & Li, Hai-ying & Jiang, Man, 2016. "Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 130-148.
    56. Mogens Fosgerau & Nikolaj Nielsen & Mads Paulsen & Thomas Kj{ae}r Rasmussen & Rui Yao, 2024. "Substitution in the perturbed utility route choice model," Papers 2409.08347, arXiv.org.
    57. Oyama, Yuki, 2024. "Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of visually perceived attributes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    58. Hänseler, Flurin S. & van den Heuvel, Jeroen P.A. & Cats, Oded & Daamen, Winnie & Hoogendoorn, Serge P., 2020. "A passenger-pedestrian model to assess platform and train usage from automated data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 948-968.
    59. Evanthia Kazagli & Michel Bierlaire & Matthieu de Lapparent, 2020. "Operational route choice methodologies for practical applications," Transportation, Springer, vol. 47(1), pages 43-74, February.
    60. Marra, Alessio Daniele & Corman, Francesco, 2020. "Determining an efficient and precise choice set for public transport based on tracking data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 168-186.
    61. Adriaan Hendrik van der Weijde & Vincent A.C. van den Berg, 2013. "Stochastic User Equilibrium Traffic Assignment with Price-sensitive Demand: Do Methods matter (much)?," Tinbergen Institute Discussion Papers 13-209/VIII, Tinbergen Institute.
    62. Oyama, Yuki & Hara, Yusuke & Akamatsu, Takashi, 2022. "Markovian traffic equilibrium assignment based on network generalized extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 135-159.
    63. Oskar Blom Västberg & Anders Karlström & Daniel Jonsson & Marcus Sundberg, 2020. "A Dynamic Discrete Choice Activity-Based Travel Demand Model," Transportation Science, INFORMS, vol. 54(1), pages 21-41, January.
    64. Vinayak V Dixit & Laurent Denant-Boemont, 2014. "Is Equilibrium in Transport Pure Nash, Mixed or Stochastic? Evidence from Laboratory Experiments," Post-Print halshs-01103472, HAL.
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    66. Mai, Tien & Yu, Xinlian & Gao, Song & Frejinger, Emma, 2021. "Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 151(C), pages 42-58.
    67. Zhang, Pujun & Lei, Dazhou & Liu, Shan & Jiang, Hai, 2024. "Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    68. Siti Raudhatul Fadilah & Hiroaki Nishiuchi & An Minh Ngoc, 2022. "The Impact of Traffic Information Provision and Prevailing Policy on the Route Choice Behavior of Motorcycles Based on the Stated Preference Experiment: A Preliminary Study," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    69. Jiang, Gege & Fosgerau, Mogens & Lo, Hong K., 2020. "Route choice, travel time variability, and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 188-207.
    70. Yuki Oyama, 2022. "Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach," Papers 2204.01215, arXiv.org, revised Jan 2023.
    71. Hamzeh Alizadeh & Bilal Farooq & Catherine Morency & Nicolas Saunier, 2018. "On the role of bridges as anchor points in route choice modeling," Transportation, Springer, vol. 45(5), pages 1181-1206, September.
    72. Hung Tran & Tien Mai, 2023. "Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis," Papers 2306.04606, arXiv.org.
    73. Jorge Lorca & Emerson Melo, 2020. "Choice Aversion in Directed Networks," Working Papers Central Bank of Chile 879, Central Bank of Chile.
    74. Mohammad Nurul Hassan & Taha Hossein Rashidi & Neema Nassir, 2021. "Consideration of different travel strategies and choice set sizes in transit path choice modelling," Transportation, Springer, vol. 48(2), pages 723-746, April.

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    Cited by:

    1. Adler, Martin W. & van Ommeren, Jos N., 2016. "Does public transit reduce car travel externalities? Quasi-natural experiments' evidence from transit strikes," Journal of Urban Economics, Elsevier, vol. 92(C), pages 106-119.
    2. Anderson, Michael L. & Davis, Lucas W., 2020. "An empirical test of hypercongestion in highway bottlenecks," Journal of Public Economics, Elsevier, vol. 187(C).
    3. Daganzo, Carlos F & Lehe, Lewis J, 2014. "Distance-dependent Congestion Pricing for Downtown Zones," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9vz1b9rs, Institute of Transportation Studies, UC Berkeley.
    4. Fosgerau, Mogens, 2015. "Congestion in the bathtub," Economics of Transportation, Elsevier, vol. 4(4), pages 241-255.
    5. Guillaume Monchambert & André de Palma, 2014. "Public transport reliability and commuter strategy," Post-Print hal-00827972, HAL.
    6. Kathrin Goldmann & Gernot Sieg, 2018. "Economic implications of phantom traffic jams: Evidence from traffic experiments," Working Papers 26, Institute of Transport Economics, University of Muenster.
    7. van den Berg, Vincent A.C., 2014. "Coarse tolling with heterogeneous preferences," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 1-23.
    8. Pandey, Ayush & Lehe, Lewis J. & Gayah, Vikash V., 2024. "Local stability of traffic equilibria in an isotropic network," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    9. Hall, Jonathan D., 2018. "Pareto improvements from Lexus Lanes: The effects of pricing a portion of the lanes on congested highways," Journal of Public Economics, Elsevier, vol. 158(C), pages 113-125.
    10. Bao, Yue & Verhoef, Erik T. & Koster, Paul, 2021. "Leaving the tub: The nature and dynamics of hypercongestion in a bathtub model with a restricted downstream exit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    11. Dantsuji, Takao & Takayama, Yuki & Fukuda, Daisuke, 2023. "Perimeter control in a mixed bimodal bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 267-291.
    12. Liu, Wei & Geroliminis, Nikolas, 2016. "Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 470-494.
    13. Lamotte, Raphaël & Geroliminis, Nikolas, 2018. "The morning commute in urban areas with heterogeneous trip lengths," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 794-810.
    14. Richard Arnott & Anatolii Kokoza & Mehdi Naji, 2016. "A Model of Rush-Hour Traffic Dynamics in an Isotropic Downtown Area," Working Papers 201612, University of California at Riverside, Department of Economics.
    15. Zhao, Chuan-Lin & Wu, Hai-Juan & Sun, Yang-Qi & Wu, Hao-Qiu & Niu, Dong-Bao, 2024. "A bathtub model with nonlinear velocity–density relation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).
    16. Gonzales, Eric J., 2015. "Coordinated pricing for cars and transit in cities with hypercongestion," Economics of Transportation, Elsevier, vol. 4(1), pages 64-81.
    17. Kathrin Goldmann & Gernot Sieg, 2020. "Quantifying the phantom jam externality: The case of an Autobahn section in Germany," Working Papers 30, Institute of Transport Economics, University of Muenster.
    18. Arnott, Richard, 2015. "A Bathtub Model of Downtown Traffic Congestion," University of California Transportation Center, Working Papers qt24h06883, University of California Transportation Center.
    19. Yue Bao & Erik Verhoef & Paul Koster, "undated". "Regulating dynamic congestion externalities with tradable credit schemes: does a unique equilibrium exist?," Tinbergen Institute Discussion Papers 19-017/VIII, Tinbergen Institute.
    20. Arnott, Richard & Kokoza, Anatolii & Naji, Mehdi, 2016. "Equilibrium traffic dynamics in a bathtub model: A special case," Economics of Transportation, Elsevier, vol. 7, pages 38-52.
    21. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    22. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    23. Richard J. Arnott & Anatolii Kokoza & Mehdi Naji, 2015. "A Model of Rush-Hour Traffic in an Isotropic Downtown Area," CESifo Working Paper Series 5465, CESifo.
    24. Li, Chuanyao & Huang, Haijun, 2019. "Analysis of bathtub congestion with continuous scheduling preference," Research in Transportation Economics, Elsevier, vol. 75(C), pages 45-54.
    25. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    26. Chen, Jin-Yong & Jiang, Rui & Li, Xin-Gang & Hu, Mao-Bin & Jia, Bin & Gao, Zi-You, 2019. "Morning commute problem with queue-length-dependent bottleneck capacity," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 184-215.
    27. Mogens Fosgerau & Miroslawa Lukawska & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2022. "Bikeability and the induced demand for cycling," Papers 2210.02504, arXiv.org, revised Dec 2022.
    28. Amirgholy, Mahyar & Gao, H. Oliver, 2017. "Modeling the dynamics of congestion in large urban networks using the macroscopic fundamental diagram: User equilibrium, system optimum, and pricing strategies," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 215-237.
    29. Antonio Russo & Martin W. Adler & Federica Liberini & Jos N. van Ommeren, 2019. "Welfare Losses of Road Congestion," CESifo Working Paper Series 7693, CESifo.
    30. van den Berg, Vincent A.C., 2012. "Step-tolling with price-sensitive demand: Why more steps in the toll make the consumer better off," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1608-1622.
    31. Amirgholy, Mahyar & Shahabi, Mehrdad & Gao, H. Oliver, 2017. "Optimal design of sustainable transit systems in congested urban networks: A macroscopic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 261-285.
    32. Luetian Sun & Rui Song, 2022. "Improving Efficiency in Congested Traffic Networks: Pareto-Improving Reservations through Agent-Based Timetabling," Sustainability, MDPI, vol. 14(4), pages 1-24, February.
    33. Daganzo, Carlos F. & Lehe, Lewis J., 2015. "Distance-dependent congestion pricing for downtown zones," Transportation Research Part B: Methodological, Elsevier, vol. 75(C), pages 89-99.
    34. Anupriya & Daniel J. Graham & Daniel Horcher & Prateek Bansal, 2021. "Revisiting the empirical fundamental relationship of traffic flow for highways using a causal econometric approach," Papers 2104.02399, arXiv.org.
    35. Martin W. Adler & Jos N. van Ommeren, 2015. "Does Public Transit reduce Car Travel Externalities?," Tinbergen Institute Discussion Papers 15-011/VIII, Tinbergen Institute.
    36. Hall, Jonathan D. & Savage, Ian, 2019. "Tolling roads to improve reliability," Journal of Urban Economics, Elsevier, vol. 113(C).

  32. Daniel L. McFadden & Mogens Fosgerau, 2012. "A theory of the perturbed consumer with general budgets," NBER Working Papers 17953, National Bureau of Economic Research, Inc.

    Cited by:

    1. Mogens Fosgerau & Julien Monardo & André de Palma, 2024. "The Inverse Product Differentiation Logit Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 329-370, November.
    2. Mogens Fosgerau & André de Palma, 2016. "Generalized entropy models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01291347, HAL.
    3. Mogens Fosgerau & Dennis Kristensen, 2021. "Identification of a class of index models: A topological approach," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 121-133.
    4. Fosgerau, Mogens & de Palma, André, 2015. "Demand systems for market shares," MPRA Paper 62106, University Library of Munich, Germany.
    5. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    6. Abi Adams & Richard Blundell & Martin Browning & Ian Crawford, 2015. "Prices versus preferences: taste change and revealed preference," IFS Working Papers W15/11, Institute for Fiscal Studies.
    7. Mogens Fosgerau & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2021. "A perturbed utility route choice model," Papers 2103.13784, arXiv.org, revised Sep 2021.
    8. Roy Allen & John Rehbeck, 2023. "Revealed stochastic choice with attributes," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(1), pages 91-112, January.
    9. Sørensen, Jesper R.-V. & Fosgerau, Mogens, 2022. "How McFadden met Rockafellar and learned to do more with less," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    10. Mogens Fosgerau & Emerson Melo & André de Palma & Matthew Shum, 2017. "Discrete Choice and Rational Inattention: A General Equivalence Result," Working Papers hal-01501313, HAL.
    11. Allen, Roy & Rehbeck, John, 2022. "Latent complementarity in bundles models," Journal of Econometrics, Elsevier, vol. 228(2), pages 322-341.
    12. Mattsson, Lars-Göran & Weibull, Jörgen W., 2023. "An analytically solvable principal-agent model," Games and Economic Behavior, Elsevier, vol. 140(C), pages 33-49.
    13. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    14. Roy Allen & John Rehbeck, 2021. "A Generalization of Quantal Response Equilibrium via Perturbed Utility," Games, MDPI, vol. 12(1), pages 1-16, March.
    15. Mogens Fosgerau & Nikolaj Nielsen & Mads Paulsen & Thomas Kj{ae}r Rasmussen & Rui Yao, 2024. "Substitution in the perturbed utility route choice model," Papers 2409.08347, arXiv.org.
    16. Mogens Fosgerauy & Julien Monardoz & André de Palma, 2023. "The Inverse Product Differentiation LogitModel," THEMA Working Papers 2023-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    17. Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
    18. Daniel McFadden, 2017. "Foundations of Welfare Economics and Product Market Applications," NBER Working Papers 23535, National Bureau of Economic Research, Inc.
    19. Daniel L. McFadden, 2013. "The New Science of Pleasure," NBER Working Papers 18687, National Bureau of Economic Research, Inc.
    20. Rehbeck, John, 2024. "A menu dependent Luce model with a numeraire," Journal of Mathematical Economics, Elsevier, vol. 110(C).
    21. Roy Allen & John Rehbeck, 2020. "Hicksian complementarity and perturbed utility models," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(2), pages 245-261, October.
    22. Mogens Fosgerau & John Rehbeck, 2023. "Nontransitive Preferences and Stochastic Rationalizability: A Behavioral Equivalence," Papers 2304.14631, arXiv.org.

  33. Hjorth, Katrine & Fosgerau, Mogens, 2012. "Using prospect theory to investigate the low marginal value of travel time for small time changes," MPRA Paper 42246, University Library of Munich, Germany.

    Cited by:

    1. Gao, Kun & Sun, Lijun & Yang, Ying & Meng, Fanyu & Qu, Xiaobo, 2021. "Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 1-21.
    2. Kim, Nam Seok & Yook, Donghyung, 2018. "Enhancing the economic benefit assessment of roadway investment through the application of value of time by trip length," Transport Policy, Elsevier, vol. 68(C), pages 28-36.
    3. Kemel, Emmanuel & Paraschiv, Corina, 2013. "Prospect Theory for joint time and money consequences in risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 81-95.
    4. Maria Börjesson, 2014. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Transportation, Springer, vol. 41(2), pages 377-396, March.
    5. Wiktor Budziński & Danny Campbell & Mikołaj Czajkowski & Urška Demšar & Nick Hanley, 2018. "Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 606-626, September.
    6. Chen, Peng & Nie, Yu (Marco), 2013. "Bicriterion shortest path problem with a general nonadditive cost," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 419-435.
    7. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    8. Paul Koster & Hans Koster, 2013. "Commuters' Preferences for Fast and Reliable Travel," Tinbergen Institute Discussion Papers 13-075/VIII, Tinbergen Institute, revised 30 Apr 2015.
    9. Geng, Kexin & Wang, Yacan & Cherchi, Elisabetta & Guarda, Pablo, 2023. "Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    10. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
    11. Obermeyer, Andy & Treiber, Martin & Evangelinos, Christos, 2015. "On the identification of thresholds in travel choice modelling," Journal of choice modelling, Elsevier, vol. 17(C), pages 1-9.
    12. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.

  34. Mogens Fosgerau & André de Palma, 2012. "Congestion in a city with a central bottleneck," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00783803, HAL.

    Cited by:

    1. David, Quentin & Foucart, Renaud, 2014. "Modal choice and optimal congestion," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 12-20.
    2. Fosgerau, Mogens, 2015. "Congestion in the bathtub," Economics of Transportation, Elsevier, vol. 4(4), pages 241-255.
    3. Konagane, Joji & Kono, Tatsuhito, 2021. "Heterogeneous Households’ Choices of Departure Time and Residential Location in a Multiple-origin Single-destination Rail System: Market Equilibrium and the First-best Solution," MPRA Paper 108507, University Library of Munich, Germany.
    4. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
    5. Zipeng Zhang & Ning Zhang, 2021. "Early Bird Scheme for Parking Management: How Does Parking Play a Role in the Morning Commute Problem," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    6. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    7. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.
    8. Joto, Keigo & Konagane, Joji & Kono, Tatsuhito & Kuwahara, Masao, 2020. "Optimal Location-dependent Pricing Policies on Railways and Roads in a Continuous City," MPRA Paper 100446, University Library of Munich, Germany.
    9. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    10. Jasper Knockaert & Erik T. Verhoef & Jan Rouwendal, 2010. "Bottleneck Congestion: Differentiating the Coarse Charge," Tinbergen Institute Discussion Papers 10-097/3, Tinbergen Institute.
    11. Cortina, Mélanie & Chiabaut, Nicolas & Leclercq, Ludovic, 2023. "Fostering synergy between transit and Autonomous Mobility-on-Demand systems: A dynamic modeling approach for the morning commute problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    12. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    13. Mogens Fosgerau & André de Palma & Anders Karlstrom & Kenneth A. Small, 2012. "Trip timing and scheduling preferences," Working Papers hal-00742267, HAL.
    14. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    15. Fosgerau, Mogens & Kim, Jinwon, 2019. "Commuting and land use in a city with bottlenecks: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 182-204.
    16. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.
    17. Akamatsu, Takashi & Wada, Kentaro & Iryo, Takamasa & Hayashi, Shunsuke, 2021. "A new look at departure time choice equilibrium models with heterogeneous users," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 152-182.
    18. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    19. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    20. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    21. Amirgholy, Mahyar & Gao, H. Oliver, 2017. "Modeling the dynamics of congestion in large urban networks using the macroscopic fundamental diagram: User equilibrium, system optimum, and pricing strategies," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 215-237.
    22. Fan, Wenbo & Xiao, Feng & Nie, Yu (Macro), 2022. "Managing bottleneck congestion with tradable credits under asymmetric transaction cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    23. André de Palma & Zhi-Chun Li & De-Ping Yu, 2023. "An analytical model for residential location choices of heterogeneous households in a monocentric city with stochastic bottleneck congestion," THEMA Working Papers 2023-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    24. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    25. Takayama, Yuki, 2020. "Who gains and who loses from congestion pricing in a monocentric city with a bottleneck?," Economics of Transportation, Elsevier, vol. 24(C).
    26. Börjesson, Maria & Kristoffersson, Ida, 2012. "Estimating welfare effects of congestion charges in real world settings," Working papers in Transport Economics 2012:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    27. Zhi-Chun Li & De-Ping Yu & André de Palma, 2024. "Bottleneck congestion and urban spatial structure with heterogeneous households: Equilibrium, capacity expansion and congestion tolling," THEMA Working Papers 2024-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    28. Brueckner, Jan K., 2014. "Cordon tolling in a city with congested bridges," Economics of Transportation, Elsevier, vol. 3(4), pages 235-242.
    29. Sergejs Gubins & Erik T. Verhoef, 2012. "Dynamic Congestion and Urban Equilibrium," Tinbergen Institute Discussion Papers 12-137/VIII, Tinbergen Institute.
    30. Gubins, Sergejs & Verhoef, Erik T., 2014. "Dynamic bottleneck congestion and residential land use in the monocentric city," Journal of Urban Economics, Elsevier, vol. 80(C), pages 51-61.
    31. Akamatsu, Takashi & Wada, Kentaro & Iryo, Takamasa & Hayashi, Shunsuke, 2018. "Departure time choice equilibrium and optimal transport problems," MPRA Paper 90361, University Library of Munich, Germany.
    32. Fosgerau, Mogens & Kim, Jinwon & Ranjan, Abhishek, 2018. "Vickrey meets Alonso: Commute scheduling and congestion in a monocentric city," Journal of Urban Economics, Elsevier, vol. 105(C), pages 40-53.

  35. Mogens Fosgerau & André de Palma, 2012. "The dynamics of urban traffic congestion and the price of parking," Working Papers hal-00742104, HAL.

    Cited by:

    1. Bayan Bevrani & Robert L. Burdett & Ashish Bhaskar & Prasad K. D. V. Yarlagadda, 2020. "A multi commodity flow model incorporating flow reduction functions," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 693-723, September.
    2. Gu, Ziyuan & Li, Yifan & Saberi, Meead & Rashidi, Taha H. & Liu, Zhiyuan, 2023. "Macroscopic parking dynamics and equitable pricing: Integrating trip-based modeling with simulation-based robust optimization," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 354-381.
    3. Agarwal, Sumit & Koo, Kang Mo, 2016. "Impact of electronic road pricing (ERP) changes on transport modal choice," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 1-11.
    4. Li, Tianshu & Song, Shunfeng & Yang, Yanmin, 2022. "Driving restrictions, traffic speeds and carbon emissions: Evidence from high-frequency data," China Economic Review, Elsevier, vol. 74(C).
    5. Ling-Ling Xiao & Tian-Liang Liu & Hai-Jun Huang, 2021. "Tradable permit schemes for managing morning commute with carpool under parking space constraint," Transportation, Springer, vol. 48(4), pages 1563-1586, August.
    6. Krishnamurthy, Chandra Kiran B. & Ngo, Nicole S., 2020. "The effects of smart-parking on transit and traffic: Evidence from SFpark," Journal of Environmental Economics and Management, Elsevier, vol. 99(C).
    7. Cats, Oded & Zhang, Chen & Nissan, Albania, 2016. "Survey methodology for measuring parking occupancy: Impacts of an on-street parking pricing scheme in an urban center," Transport Policy, Elsevier, vol. 47(C), pages 55-63.
    8. Zipeng Zhang & Ning Zhang, 2021. "Early Bird Scheme for Parking Management: How Does Parking Play a Role in the Morning Commute Problem," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    9. Lin, XuXun & Yuan, PengCheng, 2018. "A dynamic parking charge optimal control model under perspective of commuters’ evolutionary game behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1096-1110.
    10. Lu, Xiao-Shan & Guo, Ren-Yong & Huang, Hai-Jun & Xu, Xiaoming & Chen, Jiajia, 2021. "Equilibrium analysis of parking for integrated daily commuting," Research in Transportation Economics, Elsevier, vol. 90(C).
    11. Zhou, Xizhen & Lv, Mengqi & Ji, Yanjie & Zhang, Shuichao & Liu, Yong, 2023. "Pricing curb parking: Differentiated parking fees or cash rewards?," Transport Policy, Elsevier, vol. 142(C), pages 46-58.
    12. Francis Ostermeijer & Hans RA Koster & Leonardo Nunes & Jos van Ommeren, 2021. "Citywide parking policy and traffic: Evidence from Amsterdam," Tinbergen Institute Discussion Papers 21-015/VIII, Tinbergen Institute.
    13. Liu, Wei & Geroliminis, Nikolas, 2016. "Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 470-494.
    14. Lu, Xiao-Shan & Huang, Hai-Jun & Guo, Ren-Yong & Xiong, Fen, 2021. "Linear location-dependent parking fees and integrated daily commuting patterns with late arrival and early departure in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 293-322.
    15. Li, Zhi-Chun & Cheng, Li & de Palma, André, 2024. "Ring road investment, cordon tolling, and urban spatial structure," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    16. Mo, Baichuan & Kong, Hui & Wang, Hao & Wang, Xiaokun (Cara) & Li, Ruimin, 2021. "Impact of pricing policy change on on-street parking demand and user satisfaction: A case study in Nanning, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 445-469.
    17. Eren Inci & Robin Lindsey, 2014. "Garage and Curbside Parking Competition with Search Congestion," ERSA conference papers ersa14p344, European Regional Science Association.
    18. Asplund, Disa & Pyddoke, Roger, 2021. "Optimal pricing of car use in a small city: A case study of Uppsala," Transport Policy, Elsevier, vol. 114(C), pages 88-103.
    19. He, Fang & Yin, Yafeng & Chen, Zhibin & Zhou, Jing, 2015. "Pricing of parking games with atomic players," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 1-12.
    20. Ostermeijer, Francis & Koster, Hans & Nunes, Leonardo & van Ommeren, Jos, 2022. "Citywide parking policy and traffic: Evidence from Amsterdam," Journal of Urban Economics, Elsevier, vol. 128(C).
    21. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    22. Jie Yang & Fang He & Xi Lin & Max Zuo‐Jun Shen, 2021. "Mechanism Design for Stochastic Dynamic Parking Resource Allocation," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3615-3634, October.
    23. Madsen, Edith & Mulalic, Ismir & Pilegaard, Ninette, 2013. "A model for estimation of the demand for on-street parking," MPRA Paper 52301, University Library of Munich, Germany.
    24. Bevrani, Bayan & Burdett, Robert & Bhaskar, Ashish & Yarlagadda, Prasad K.D.V., 2020. "A multi-criteria multi-commodity flow model for analysing transportation networks," Operations Research Perspectives, Elsevier, vol. 7(C).
    25. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    26. Zakharenko, Roman, 2016. "The time dimension of parking economics," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 211-228.
    27. Gu, Ziyuan & Safarighouzhdi, Farshid & Saberi, Meead & Rashidi, Taha H., 2021. "A macro-micro approach to modeling parking," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 220-244.
    28. Zhi-Chun Li & Li Cheng & André de Palma, 2023. "Ring road investment, cordon tolling, and urban spatial structure: Formulation and a case study," THEMA Working Papers 2023-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    29. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    30. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    31. Zhibin Chen & Stephen Spana & Yafeng Yin & Yuchuan Du, 2019. "An Advanced Parking Navigation System for Downtown Parking," Networks and Spatial Economics, Springer, vol. 19(3), pages 953-968, September.
    32. Huang, Zhihui & Long, Jiancheng & Szeto, W.Y. & Liu, Haoxiang, 2021. "Modeling and managing the morning commute problem with park-and-ride-sharing," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 190-226.
    33. Jin Qin & Yuxin He & Linglin Ni, 2014. "Quantitative Efficiency Evaluation Method for Transportation Networks," Sustainability, MDPI, vol. 6(12), pages 1-15, November.
    34. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun, 2016. "On the morning commute problem with carpooling behavior under parking space constraint," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 383-407.
    35. Amer, Ahmed & Chow, Joseph Y.J., 2017. "A downtown on-street parking model with urban truck delivery behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 51-67.
    36. Wang, Pengfei & Guan, Hongzhi & Liu, Peng, 2020. "Modeling and solving the optimal allocation-pricing of public parking resources problem in urban-scale network," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 74-98.
    37. Eliasson, Jonas & Börjesson, Maria, 2022. "Costs and benefits of parking charges in residential areas," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 95-109.
    38. Takayama, Yuki & Kuwahara, Masao, 2016. "Scheduling preferences, parking competition, and bottleneck congestion: A model of trip timing and parking location choices by heterogeneous commuters," MPRA Paper 68938, University Library of Munich, Germany.
    39. Takayama, Yuki, 2020. "Who gains and who loses from congestion pricing in a monocentric city with a bottleneck?," Economics of Transportation, Elsevier, vol. 24(C).
    40. Perera, Loshaka & Thompson, Russell G. & Wu, Wenyan, 2021. "Toll and subsidy for freight vehicles on urban roads: A policy decision for City Logistics," Research in Transportation Economics, Elsevier, vol. 90(C).
    41. Fu, Yulan & Wang, Chenlan & Liu, Tian-Liang & Huang, Hai-Jun, 2021. "Parking management in the morning commute problem with ridesharing," Research in Transportation Economics, Elsevier, vol. 90(C).
    42. Ma, Rui & Zhang, H.M., 2017. "The morning commute problem with ridesharing and dynamic parking charges," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 345-374.
    43. Abdelghaffar, Hossam M. & Batista, S.F.A. & Rehman, Abdur & Cao, Jin & Menéndez, Mónica & Jabari, Saif Eddin, 2024. "Comparison of probabilistic cruising-for-parking time estimation models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    44. Wang, Sicheng & Du, Rui & Lee, Annie S., 2024. "Ridesourcing regulation and traffic speeds: A New York case," Journal of Transport Geography, Elsevier, vol. 116(C).
    45. Vandyck, Toon & Rutherford, Thomas F., 2018. "Regional labor markets, commuting, and the economic impact of road pricing," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 217-236.

  36. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "Catching the Tail: Empirical Identification of the Distribution of the Value of Travel Time," MPRA Paper 69099, University Library of Munich, Germany.

    Cited by:

    1. Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs & Daziano, Ricardo A., 2017. "Estimation of crowding discomfort in public transport: Results from Santiago de Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 311-326.
    2. Börjesson, Maria & Eliasson, Jonas, 2012. "The value of time and external benefits in bicycle appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 673-683.
    3. Fanchao Liao & Eric Molin & Harry Timmermans & Bert van Wee, 2020. "Carsharing: the impact of system characteristics on its potential to replace private car trips and reduce car ownership," Transportation, Springer, vol. 47(2), pages 935-970, April.
    4. Manuel Ojeda-Cabral & Stephane Hess & Richard Batley, 2018. "Understanding valuation of travel time changes: are preferences different under different stated choice design settings?," Transportation, Springer, vol. 45(1), pages 1-21, January.
    5. Andrew Daly, 2013. "Forecasting behaviour: with applications to transport," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 2, pages 48-72, Edward Elgar Publishing.
    6. Shi, Haolun & Yin, Guosheng, 2018. "Boosting conditional logit model," Journal of choice modelling, Elsevier, vol. 26(C), pages 48-63.
    7. Börjesson, Maria, 2012. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Working papers in Transport Economics 2012:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    8. Wiktor Budziński & Danny Campbell & Mikołaj Czajkowski & Urška Demšar & Nick Hanley, 2018. "Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 606-626, September.
    9. Hancock, Thomas O. & Hess, Stephane & Daly, Andrew & Fox, James, 2020. "Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 429-454.
    10. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    11. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    12. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    13. Caspar G. Chorus, 2014. "Capturing alternative decision rules in travel choice models: a critical discussion," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 13, pages 290-310, Edward Elgar Publishing.
    14. Richard Batley & John Bates & Michiel Bliemer & Maria Börjesson & Jeremy Bourdon & Manuel Ojeda Cabral & Phani Kumar Chintakayala & Charisma Choudhury & Andrew Daly & Thijs Dekker & Efie Drivyla & Ton, 2019. "New appraisal values of travel time saving and reliability in Great Britain," Transportation, Springer, vol. 46(3), pages 583-621, June.
    15. Paul Koster & Hans Koster, 2013. "Commuters' Preferences for Fast and Reliable Travel," Tinbergen Institute Discussion Papers 13-075/VIII, Tinbergen Institute, revised 30 Apr 2015.
    16. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," MPRA Paper 67053, University Library of Munich, Germany.
    17. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
    18. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    19. Börjesson , Maria, 2012. "Valuing perceived insecurity associated with use of and access to public transport," Working papers in Transport Economics 2012:9, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    20. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.

  37. Mogens Fosgerau & Daniel L. McFadden & Michel Bierlaire, 2012. "Choice Probability Generating Functions," NBER Working Papers 17970, National Bureau of Economic Research, Inc.

    Cited by:

    1. Mogens Fosgerau & Julien Monardo & André de Palma, 2024. "The Inverse Product Differentiation Logit Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 329-370, November.
    2. Mogens Fosgerau & André de Palma, 2016. "Generalized entropy models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01291347, HAL.
    3. Nelson Lind & Natalia Ramondo, 2018. "Trade with Correlation," NBER Working Papers 24380, National Bureau of Economic Research, Inc.
    4. Mogens Fosgerau & Dennis Kristensen, 2021. "Identification of a class of index models: A topological approach," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 121-133.
    5. Fosgerau, Mogens & de Palma, André, 2015. "Demand systems for market shares," MPRA Paper 62106, University Library of Munich, Germany.
    6. Mattsson, Lars-Göran & Weibull, Jörgen W. & Lindberg, Per Olov, 2014. "Extreme values, invariance and choice probabilities," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 81-95.
    7. Joao Macieira & Pedro Pereira & Joao Vareda, 2013. "Bundling Incentives in Markets with Product Complementarities: The Case of Triple-Play," Working Papers 13-15, NET Institute.
    8. Lind, Nelson & Ramondo, Natalia, 2022. "Global Innovation and Knowledge Diffusion," CEPR Discussion Papers 17385, C.E.P.R. Discussion Papers.
    9. Lurkin, Virginie & Garrow, Laurie A. & Higgins, Matthew J. & Newman, Jeffrey P. & Schyns, Michael, 2018. "Modeling competition among airline itineraries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 157-172.
    10. Stephane Hess & Andrew Daly & Richard Batley, 2018. "Revisiting consistency with random utility maximisation: theory and implications for practical work," Theory and Decision, Springer, vol. 84(2), pages 181-204, March.
    11. Fosgerau, Mogens & Frejinger, Emma & Karlström, Anders, 2013. "A link based network route choice model with unrestricted choice set," Working papers in Transport Economics 2013:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    12. Lai, Xinjun & Bierlaire, Michel, 2015. "Specification of the cross-nested logit model with sampling of alternatives for route choice models," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 220-234.
    13. Eliasson, Jonas & Fosgerau, Mogens, 2017. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," Working papers in Transport Economics 2017:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    14. Matthew Kovach & Gerelt Tserenjigmid, 2022. "Behavioral Foundations of Nested Stochastic Choice and Nested Logit," Journal of Political Economy, University of Chicago Press, vol. 130(9), pages 2411-2461.
    15. Fosgerau, Mogens & Ranjan, Abhishek, 2017. "A note on identification in discrete choice models with partial observability," MPRA Paper 76800, University Library of Munich, Germany.
    16. Pereira, Pedro & Ribeiro, Tiago & Vareda, João, 2013. "Delineating markets for bundles with consumer level data: The case of triple-play," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 760-773.
    17. Mogens Fosgerau & Emerson Melo & André de Palma & Matthew Shum, 2017. "Discrete Choice and Rational Inattention: A General Equivalence Result," Working Papers hal-01501313, HAL.
    18. Mogens Fosgerau, 2024. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 308-318, Edward Elgar Publishing.
    19. Daniel L. McFadden & Mogens Fosgerau, 2012. "A theory of the perturbed consumer with general budgets," NBER Working Papers 17953, National Bureau of Economic Research, Inc.
    20. Tien Mai & Patrick Jaillet, 2019. "Robust Product-line Pricing under Generalized Extreme Value Models," Papers 1912.09552, arXiv.org, revised Oct 2021.
    21. Kazagli, Evanthia & Bierlaire, Michel & Flötteröd, Gunnar, 2016. "Revisiting the route choice problem: A modeling framework based on mental representations," Journal of choice modelling, Elsevier, vol. 19(C), pages 1-23.
    22. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.

  38. Engelson, Leonid & Fosgerau, Mogens, 2011. "Additive measures of travel time variability," MPRA Paper 42262, University Library of Munich, Germany.

    Cited by:

    1. Xiao, Yu & Fukuda, Daisuke, 2015. "On the cost of misperceived travel time variability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 96-112.
    2. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    3. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    4. Li, Chuan-Yao & Huang, Hai-Jun, 2018. "User equilibrium of a single-entry traffic corridor with continuous scheduling preference," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 21-38.
    5. Yu Xiao & Nicolas Coulombel & André de Palma, 2017. "The valuation of travel time reliability: does congestion matter?," Post-Print hal-01465956, HAL.
    6. Teppei Kato & Kenetsu Uchida & William H. K. Lam & Agachai Sumalee, 2021. "Estimation of the value of travel time and of travel time reliability for heterogeneous drivers in a road network," Transportation, Springer, vol. 48(4), pages 1639-1670, August.
    7. Paul Koster & Eric Pels & Erik Verhoef, 2013. "The User Costs of Air Travel Delay Variability," Tinbergen Institute Discussion Papers 13-056/VIII, Tinbergen Institute.
    8. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    9. Fosgerau, Mogens & Engelson, Leonid & Franklin, Joel P., 2014. "Commuting for meetings," Journal of Urban Economics, Elsevier, vol. 81(C), pages 104-113.
    10. Xu, Xiangdong & Chen, Anthony & Cheng, Lin & Yang, Chao, 2017. "A link-based mean-excess traffic equilibrium model under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 53-75.
    11. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    12. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.
    13. Oliveira, Eduardo Leal de & Portugal, Licínio da Silva & Porto Junior, Walter, 2016. "Indicators of reliability and vulnerability: Similarities and differences in ranking links of a complex road system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 195-208.
    14. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2016. "The impact of travel time variability and travelers' risk attitudes on the values of time and reliability," Post-Print hal-01923409, HAL.
    15. Hörcher, Daniel & Graham, Daniel J. & Anderson, Richard J., 2017. "Crowding cost estimation with large scale smart card and vehicle location data," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 105-125.
    16. Khademi, Navid & Kharrazi, Hamed & Chen, Anthony & Chaiyasarn, Krisada & Zerguini, Seghir, 2024. "Departure time choices and a modeling framework for a guidance system," Journal of choice modelling, Elsevier, vol. 51(C).
    17. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    18. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    19. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).

  39. Fosgerau, Mogens, 2011. "How a fast lane may replace a congestion toll," MPRA Paper 42271, University Library of Munich, Germany.

    Cited by:

    1. Lamotte, Raphaël & de Palma, André & Geroliminis, Nikolas, 2017. "On the use of reservation-based autonomous vehicles for demand management," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 205-227.
    2. Zhang, Xiang & Liu, Wei & Levin, Michael & Travis Waller, S., 2023. "Equilibrium analysis of morning commuting and parking under spatial capacity allocation in the autonomous vehicle environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    3. C. Robin Lindsey & Vincent A.C. van den Berg & Erik T. Verhoef, 2010. "Step by Step: Revisiting Step Tolling in the Bottleneck Model," Tinbergen Institute Discussion Papers 10-118/3, Tinbergen Institute, revised 02 Aug 2012.
    4. van den Berg, Vincent A.C., 2014. "Coarse tolling with heterogeneous preferences," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 1-23.
    5. Fosgerau, Mogens & Small, Kenneth E., 2012. "Hypercongestion in downtown metropolis," MPRA Paper 43411, University Library of Munich, Germany.
    6. Jasper Knockaert & Erik T. Verhoef & Jan Rouwendal, 2010. "Bottleneck Congestion: Differentiating the Coarse Charge," Tinbergen Institute Discussion Papers 10-097/3, Tinbergen Institute.
    7. Paraskevopoulos, Dimitris C. & Gürel, Sinan & Bektaş, Tolga, 2016. "The congested multicommodity network design problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 166-187.
    8. Fosgerau, Mogens & de Palma, André, 2013. "The dynamics of urban traffic congestion and the price of parking," Journal of Public Economics, Elsevier, vol. 105(C), pages 106-115.
    9. Robin Lindsey, C. & van den Berg, Vincent A.C. & Verhoef, Erik T., 2012. "Step tolling with bottleneck queuing congestion," Journal of Urban Economics, Elsevier, vol. 72(1), pages 46-59.
    10. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    11. Liu, Peng & Xu, Shu-Xian & Ong, Ghim Ping & Tian, Qiong & Ma, Shoufeng, 2021. "Effect of autonomous vehicles on travel and urban characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 128-148.
    12. Berg, V.A.C. van den, 2012. "Step tolling with price sensitive demand: Why more steps in the toll makes the consumer better off," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun & Liu, Ronghui, 2021. "Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 177-200.
    14. van den Berg, Vincent A.C., 2012. "Step-tolling with price-sensitive demand: Why more steps in the toll make the consumer better off," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1608-1622.
    15. Zhao, Chuan-Lin & Leclercq, Ludovic, 2018. "Graphical solution for system optimum dynamic traffic assignment with day-based incentive routing strategies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 87-100.

  40. DE BORGER, Bruno & FOSGERAU, Mogens, 2011. "Information provision by regulated public transport companies," Working Papers 2011012, University of Antwerp, Faculty of Business and Economics.

    Cited by:

    1. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    2. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    3. De Borger, Bruno & Proost, Stef, 2015. "The political economy of public transport pricing and supply decisions," Economics of Transportation, Elsevier, vol. 4(1), pages 95-109.
    4. Zhou, Chang & Tian, Qiong & Wang, David Z.W., 2022. "A novel control strategy in mitigating bus bunching: Utilizing real-time information," Transport Policy, Elsevier, vol. 123(C), pages 1-13.
    5. Sun, Yanshuo & Gong, Hengye & Guo, Qianwen & Schonfeld, Paul & Li, Zhongfei, 2020. "Regulating a public transit monopoly under asymmetric cost information," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 496-522.
    6. Andrés Gómez-Lobo, 2014. "Monopoly, Subsidies and the Mohring Effect: A Synthesis," Transport Reviews, Taylor & Francis Journals, vol. 34(3), pages 297-315, May.
    7. Sayarshad, Hamid R. & Gao, H. Oliver, 2020. "Optimizing dynamic switching between fixed and flexible transit services with an idle-vehicle relocation strategy and reductions in emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 198-214.
    8. Bar-Yosef, Asaf & Martens, Karel & Benenson, Itzhak, 2013. "A model of the vicious cycle of a bus line," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 37-50.
    9. Sayarshad, Hamid R. & Chow, Joseph Y.J., 2015. "A scalable non-myopic dynamic dial-a-ride and pricing problem," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 539-554.
    10. Hensher, David A., 2017. "Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 86-96.
    11. Chunqin Zhang & Yuting Hu & Anning Ni & Hongwei Li, 2019. "Compensation Scheme for Self-Employed Bus Service Requisitions in Urban–Rural Passenger Transport," Sustainability, MDPI, vol. 11(18), pages 1-20, September.

  41. De Palma, André & Fosgerau, Mogens, 2010. "Random queues and risk averse users," MPRA Paper 24215, University Library of Munich, Germany.

    Cited by:

    1. Breinbjerg, Jesper & Sebald, Alexander & Østerdal, Lars Peter, 2014. "Strategic Behavior and Social Outcomes in a Bottleneck Queue: Experimental Evidence," Discussion Papers on Economics 12/2014, University of Southern Denmark, Department of Economics.
    2. Platz, Trine Tornøe & Østerdal, Lars Peter, 2017. "The curse of the first-in–first-out queue discipline," Games and Economic Behavior, Elsevier, vol. 104(C), pages 165-176.
    3. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.
    4. Li, Chuan-Yao & Huang, Hai-Jun, 2018. "User equilibrium of a single-entry traffic corridor with continuous scheduling preference," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 21-38.
    5. Fosgerau, Mogens & de Palma, André, 2013. "The dynamics of urban traffic congestion and the price of parking�," MPRA Paper 48433, University Library of Munich, Germany.
    6. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.
    7. Jasper Knockaert & Erik T. Verhoef & Jan Rouwendal, 2010. "Bottleneck Congestion: Differentiating the Coarse Charge," Tinbergen Institute Discussion Papers 10-097/3, Tinbergen Institute.
    8. Qiumin Liu & Vincent A.C. van den Berg & Erik T. Verhoef & Rui Jiang, 2024. "Pricing in the Stochastic Bottleneck Model with Price-Sensitive Demand," Tinbergen Institute Discussion Papers 24-011/VIII, Tinbergen Institute, revised 22 Oct 2024.
    9. Fosgerau, Mogens, 2011. "How a fast lane may replace a congestion toll," MPRA Paper 42271, University Library of Munich, Germany.
    10. Fosgerau, Mogens & de Palma, André, 2013. "The dynamics of urban traffic congestion and the price of parking," Journal of Public Economics, Elsevier, vol. 105(C), pages 106-115.
    11. Mogens Fosgerau & André de Palma & Anders Karlstrom & Kenneth A. Small, 2012. "Trip timing and scheduling preferences," Working Papers hal-00742267, HAL.
    12. Breinbjerg, Jesper & Platz, Trine Tornøe & Østerdal, Lars Peter, 2020. "Equilibrium Arrivals to a Last-come First-served Preemptive-resume Queue," Working Papers 17-2020, Copenhagen Business School, Department of Economics.
    13. Arnott, Richard, 2015. "A Bathtub Model of Downtown Traffic Congestion," University of California Transportation Center, Working Papers qt24h06883, University of California Transportation Center.
    14. Tian, Li-Jun & Huang, Hai-Jun, 2015. "Modeling the modal split and trip scheduling with commuters’ uncertainty expectation," European Journal of Operational Research, Elsevier, vol. 244(3), pages 815-822.
    15. Mogens, Fosgerau & André, de Palma, 2012. "Congestion in a city with a central bottleneck," MPRA Paper 58725, University Library of Munich, Germany.
    16. Li, Chuan-Yao & Huang, Hai-Jun, 2017. "Morning commute in a single-entry traffic corridor with early and late arrivals," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 23-49.

  42. André de Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.

    Cited by:

    1. Liang Chen & Eugene Choo & Alfred Galichon & Simon Weber, 2023. "Existence of a Competitive Equilibrium with Substitutes, with Applications to Matching and Discrete Choice Models," Papers 2309.11416, arXiv.org.
    2. Leonid Engelson & Ida Kristoffersson & Mohammad Saifuzzaman & André de Palma & Kiarash Motamedi, 2013. "Comparison of two dynamic transportation models: The case of Stockholm congestion charging," Working Papers hal-00779285, HAL.
    3. Pandey, Ayush & Lehe, Lewis J., 2024. "Congestive mode-switching and economies of scale on a bus route," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    4. Mogens Fosgerau & Kenneth Small, 2013. "Endogenous Scheduling Preferences and Congestion," Working Papers 131403, University of California-Irvine, Department of Economics, revised May 2014.
    5. de Palma, André & Fosgerau, Mogens, 2013. "Random queues and risk averse users," European Journal of Operational Research, Elsevier, vol. 230(2), pages 313-320.
    6. Lehe, Lewis J. & Pandey, Ayush, 2020. "Hyperdemand: A static traffic model with backward-bending demand curves," Economics of Transportation, Elsevier, vol. 24(C).
    7. Lehe, Lewis J. & Pandey, Ayush, 2024. "A bathtub model of transit congestion," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).

  43. Mogens Fosgerau & Kurt van Dender, 2010. "Road Pricing with Complication," OECD/ITF Joint Transport Research Centre Discussion Papers 2010/2, OECD Publishing.

    Cited by:

    1. Heyndrickx, Christophe & Vanheukelom, Toon & Proost, Stef, 2021. "Distributional impact of a regional road pricing scheme in Flanders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 116-139.
    2. Proost, Stef & Van Dender, Kurt, 2012. "Energy and environment challenges in the transport sector," Economics of Transportation, Elsevier, vol. 1(1), pages 77-87.
    3. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    4. Leonid Engelson & Dirk van Amelsfort, 2015. "The role of volume-delay functions in forecasting and evaluating congestion charging schemes: the Stockholm case," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(6), pages 684-707, August.
    5. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    6. Juan de Dios Ortúzar & Elisabetta Cherchi & Luis Ignacio Rizzi, 2014. "Transport research needs," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 29, pages 688-698, Edward Elgar Publishing.
    7. Kristoffersson, Ida & Engelson, Leonid, 2016. "Efficiency and equity of congestion charges," Working papers in Transport Economics 2016:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    8. Kristoffersson, Ida, 2013. "Impacts of time-varying cordon pricing: Validation and application of mesoscopic model for Stockholm," Transport Policy, Elsevier, vol. 28(C), pages 51-60.
    9. Stephane Hess & Andrew Daly (ed.), 2014. "Handbook of Choice Modelling," Books, Edward Elgar Publishing, number 14820.
    10. Ida Kristoffersson & Leonid Engelson, 2011. "Modifications of the Stockholm congestion pricing scheme and effects on different user groups," ERSA conference papers ersa10p1455, European Regional Science Association.
    11. Jonas Westin, 2011. "Labor Market Effects of Road Pricing in a Population with Continuously Distributed Value of Time," ERSA conference papers ersa10p1458, European Regional Science Association.
    12. Jean-Philippe Meloche, 2019. "Towards a New Era in Road Pricing? Lessons from the Experience of First Movers," CIRANO Working Papers 2019s-35, CIRANO.

  44. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.

    Cited by:

    1. Xiao, Yu & Fukuda, Daisuke, 2015. "On the cost of misperceived travel time variability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 96-112.
    2. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    3. Fosgerau, Mogens & Engelson, Leonid & Franklin, Joel P., 2014. "Commuting for meetings," Journal of Urban Economics, Elsevier, vol. 81(C), pages 104-113.
    4. de Jong, Gerard C. & Bliemer, Michiel C.J., 2015. "On including travel time reliability of road traffic in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 80-95.
    5. Jenelius, Erik & Koutsopoulos, Haris N., 2013. "Travel time estimation for urban road networks using low frequency probe vehicle data," Transportation Research Part B: Methodological, Elsevier, vol. 53(C), pages 64-81.
    6. Selin Damla Ahipaşaoğlu & Uğur Arıkan & Karthik Natarajan, 2019. "Distributionally Robust Markovian Traffic Equilibrium," Transportation Science, INFORMS, vol. 53(6), pages 1546-1562, November.
    7. Vodopivec, Neža & Miller-Hooks, Elise, 2017. "An optimal stopping approach to managing travel-time uncertainty for time-sensitive customer pickup," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 22-37.
    8. Engelson, Leonid & Fosgerau, Mogens, 2011. "Additive measures of travel time variability," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1560-1571.
    9. Gu, Yu & Fu, Xiao & Liu, Zhiyuan & Xu, Xiangdong & Chen, Anthony, 2020. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    10. Jenelius, Erik, 2012. "The value of travel time variability with trip chains, flexible scheduling and correlated travel times," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 762-780.

  45. Fosgerau, Mogens & Engelson, Leonid, 2010. "The value of travel time variance," MPRA Paper 42272, University Library of Munich, Germany.

    Cited by:

    1. Xiao, Yu & Fukuda, Daisuke, 2015. "On the cost of misperceived travel time variability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 96-112.
    2. Kouwenhoven, Marco & de Jong, Gerard C. & Koster, Paul & van den Berg, Vincent A.C. & Verhoef, Erik T. & Bates, John & Warffemius, Pim M.J., 2014. "New values of time and reliability in passenger transport in The Netherlands," Research in Transportation Economics, Elsevier, vol. 47(C), pages 37-49.
    3. Chakrabarti, Sandip, 2017. "How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles," Transport Policy, Elsevier, vol. 54(C), pages 80-89.
    4. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
    5. Wang, Zhuolin & You, Keyou & Song, Shiji & Zhang, Yuli, 2020. "Wasserstein distributionally robust shortest path problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 31-43.
    6. Chen, Anthony & Zhou, Zhong & Lam, William H.K., 2011. "Modeling stochastic perception error in the mean-excess traffic equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1619-1640.
    7. Zang, Zhaoqi & Batley, Richard & Xu, Xiangdong & Wang, David Z.W., 2024. "On the value of distribution tail in the valuation of travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
    8. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    9. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    10. Börjesson, Maria & Kristoffersson, Ida, 2014. "Assessing the welfare effects of congestion charges in a real world setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 339-355.
    11. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    12. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.
    13. Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    14. Guillaume Monchambert & André de Palma, 2014. "Public transport reliability and commuter strategy," Post-Print hal-00827972, HAL.
    15. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    16. Paul Koster & Hans Koster, 2013. "Analysing Heterogeneity in the Value of Travel Time and Reliability: A Semiparametric Estimation Approach," ERSA conference papers ersa13p1032, European Regional Science Association.
    17. Amirgholy, Mahyar & Gonzales, Eric J., 2017. "Efficient frontier of route choice for modeling the equilibrium under travel time variability with heterogeneous traveler preferences," Economics of Transportation, Elsevier, vol. 11, pages 1-14.
    18. Robin Lindsey & André de Palma & Hugo Silva, 2018. "Equilibrium in a dynamic model of congestion with large and small users," Working Papers hal-01760135, HAL.
    19. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
    20. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    21. Koster, Paul & Peer, Stefanie & Dekker, Thijs, 2015. "Memory, expectation formation and scheduling choices," Economics of Transportation, Elsevier, vol. 4(4), pages 256-265.
    22. Li, Chuan-Yao & Huang, Hai-Jun, 2018. "User equilibrium of a single-entry traffic corridor with continuous scheduling preference," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 21-38.
    23. Tscharaktschiew, Stefan, 2014. "Shedding light on the appropriateness of the (high) gasoline tax level in Germany," Economics of Transportation, Elsevier, vol. 3(3), pages 189-210.
    24. Sandip Chakrabarti & Genevieve Giuliano, 2014. "Does service reliability influence transit patronage? Evidence from Los Angeles, and implications for transit policy," Working Paper 9297, USC Lusk Center for Real Estate.
    25. J. Arturo Castillo-Salazar & Dario Landa-Silva & Rong Qu, 2016. "Workforce scheduling and routing problems: literature survey and computational study," Annals of Operations Research, Springer, vol. 239(1), pages 39-67, April.
    26. Carlos Carrion & David Levinson, 2010. "Value of Travel Time Reliability: A review of current evidence," Working Papers 000085, University of Minnesota: Nexus Research Group.
    27. Yu Xiao & Nicolas Coulombel & André de Palma, 2017. "The valuation of travel time reliability: does congestion matter?," Post-Print hal-01465956, HAL.
    28. C. Angelo Guevara, 2017. "Mode-valued differences of in-vehicle travel time Savings," Transportation, Springer, vol. 44(5), pages 977-997, September.
    29. Fosgerau, Mogens, 2010. "On the relation between the mean and variance of delay in dynamic queues with random capacity and demand," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 598-603, April.
    30. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    31. Paul Koster & Eric Kroes & Erik T. Verhoef, 2010. "Travel Time Variability and Airport Accessibility," Tinbergen Institute Discussion Papers 10-061/3, Tinbergen Institute.
    32. Kingsley Adjenughwure & Basil Papadopoulos, 2019. "Towards a Fair and More Transparent Rule-Based Valuation of Travel Time Savings," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    33. Yap, Menno & Cats, Oded, 2021. "Taking the path less travelled: Valuation of denied boarding in crowded public transport systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 1-13.
    34. Paul Koster & Eric Pels & Erik Verhoef, 2013. "The User Costs of Air Travel Delay Variability," Tinbergen Institute Discussion Papers 13-056/VIII, Tinbergen Institute.
    35. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.
    36. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    37. Fosgerau, Mogens & Engelson, Leonid & Franklin, Joel P., 2014. "Commuting for meetings," Journal of Urban Economics, Elsevier, vol. 81(C), pages 104-113.
    38. Quentin David & Moez Kilani, 2022. "Transport policies in polycentric cities," Post-Print hal-03969419, HAL.
    39. Mogens Fosgerau & Kenneth Small, 2013. "Endogenous Scheduling Preferences and Congestion," Working Papers 131403, University of California-Irvine, Department of Economics, revised May 2014.
    40. Nicolas Coulombel & André de Palma, 2014. "Variability of Travel Time, Congestion, and the Cost of Travel," Post-Print hal-01100106, HAL.
    41. Lindsey, Robin & Daniel, Terry & Gisches, Eyran & Rapoport, Amnon, 2014. "Pre-trip information and route-choice decisions with stochastic travel conditions: Theory," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 187-207.
    42. Cats, Oded & West, Jens & Eliasson, Jonas, 2015. "Appraisal of increased public transport capacity: the case of a new metro line to Nacka, Sweden," Working papers in Transport Economics 2015:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    43. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    44. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    45. Fosgerau, Mogens & Kim, Jinwon, 2019. "Commuting and land use in a city with bottlenecks: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 182-204.
    46. Nicolas Coulombel & André de Palma, 2014. "The marginal social cost of travel time variability," Post-Print hal-01100105, HAL.
    47. de Jong, Gerard C. & Bliemer, Michiel C.J., 2015. "On including travel time reliability of road traffic in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 80-95.
    48. Zakharenko, Roman & Luttmann, Alexander, 2023. "Downsizing the jet: A forecast of economic effects of increased automation in aviation," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 25-47.
    49. Czerny, Achim I. & Guo, Pengfei & Hassin, Refael, 2022. "Shall firms withhold exact waiting time information from their customers? A transport example," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 128-142.
    50. Benezech, Vincent & Coulombel, Nicolas, 2013. "The value of service reliability," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 1-15.
    51. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.
    52. Zhaoqi Zang & Richard Batley & Xiangdong Xu & David Z. W. Wang, 2022. "On the value of distribution tail in the valuation of travel time variability," Papers 2207.06293, arXiv.org, revised Dec 2023.
    53. Chakrabarti, Sandip & Giuliano, Genevieve, 2015. "Does service reliability determine transit patronage? Insights from the Los Angeles Metro bus system," Transport Policy, Elsevier, vol. 42(C), pages 12-20.
    54. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2016. "The impact of travel time variability and travelers' risk attitudes on the values of time and reliability," Post-Print hal-01923409, HAL.
    55. Mogens, Fosgerau & André, de Palma, 2012. "Congestion in a city with a central bottleneck," MPRA Paper 58725, University Library of Munich, Germany.
    56. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    57. Khademi, Navid & Kharrazi, Hamed & Chen, Anthony & Chaiyasarn, Krisada & Zerguini, Seghir, 2024. "Departure time choices and a modeling framework for a guidance system," Journal of choice modelling, Elsevier, vol. 51(C).
    58. Ulak, Mehmet Baran & Yazici, Anil & Aljarrah, Mohammad, 2020. "Value of convenience for taxi trips in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 85-100.
    59. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    60. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    61. Taylor, Michael A.P., 2017. "Fosgerau's travel time reliability ratio and the Burr distribution," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 50-63.
    62. Uchida, Kenetsu, 2014. "Estimating the value of travel time and of travel time reliability in road networks," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 129-147.
    63. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    64. Wang, Qian & Sundberg, Marcus & Karlström, Anders, 2013. "Scheduling choices under rank dependent utility maximization," Working papers in Transport Economics 2013:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    65. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
    66. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    67. Daniel Jonsson & Anders Karlström & Masoud Fadaei Oshyani & Per Olsson, 2014. "Reconciling User Benefit and Time-Geography-Based Individual Accessibility Measures," Environment and Planning B, , vol. 41(6), pages 1031-1043, December.
    68. André de Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.
    69. Jenelius, Erik & Mattsson, Lars-Göran & Levinson, David, 2011. "Traveler delay costs and value of time with trip chains, flexible activity scheduling and information," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 789-807, June.
    70. Credit, Kevin & O'Driscoll, Conor, 2024. "Assessing modal tradeoffs and associated built environment characteristics using a cost-distance framework," Journal of Transport Geography, Elsevier, vol. 117(C).
    71. Engelson, Leonid & Fosgerau, Mogens, 2011. "Additive measures of travel time variability," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1560-1571.
    72. Takayama, Yuki, 2020. "Who gains and who loses from congestion pricing in a monocentric city with a bottleneck?," Economics of Transportation, Elsevier, vol. 24(C).
    73. Börjesson, Maria & Kristoffersson, Ida, 2012. "Estimating welfare effects of congestion charges in real world settings," Working papers in Transport Economics 2012:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    74. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    75. Gonghang Chen & Jifeng Cao & Xiangfeng Ji, 2024. "Reliability and Unreliability Aspects of Travel Time Analysis on the Stochastic Network Using the Target-Oriented Perspective," Sustainability, MDPI, vol. 16(12), pages 1-22, June.
    76. Badiola, Nicolás & Raveau, Sebastián & Galilea, Patricia, 2019. "Modelling preferences towards activities and their effect on departure time choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 39-51.
    77. Yuan, PengCheng & Juan, ZhiCai, 2013. "The related congestion failure estimating methodology and model in transportation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4330-4344.
    78. Chakrabarti, Sandip, 2015. "The demand for reliable transit service: New evidence using stop level data from the Los Angeles Metro bus system," Journal of Transport Geography, Elsevier, vol. 48(C), pages 154-164.
    79. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    80. Wang, Qian & Sundberg, Marcus & Karlström, Anders, 2013. "On the other half of the story: allowing for discrete penalties for excessive travel times in scheduling models," Working papers in Transport Economics 2013:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    81. Sergejs Gubins & Erik T. Verhoef, 2012. "Dynamic Congestion and Urban Equilibrium," Tinbergen Institute Discussion Papers 12-137/VIII, Tinbergen Institute.
    82. Jiang, Y. & Szeto, W.Y., 2016. "Reliability-based stochastic transit assignment: Formulations and capacity paradox," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 181-206.
    83. Katrine Hjorth & Mogens Fosgerau, 2011. "Loss Aversion and Individual Characteristics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 573-596, August.
    84. Gubins, Sergejs & Verhoef, Erik T., 2014. "Dynamic bottleneck congestion and residential land use in the monocentric city," Journal of Urban Economics, Elsevier, vol. 80(C), pages 51-61.
    85. Tan, Zhijia & Yang, Hai & Guo, Renyong, 2014. "Pareto efficiency of reliability-based traffic equilibria and risk-taking behavior of travelers," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 16-31.
    86. Jenelius, Erik, 2012. "The value of travel time variability with trip chains, flexible scheduling and correlated travel times," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 762-780.
    87. Hao, Lu & Hansen, Mark, 2014. "Block time reliability and scheduled block time setting," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 98-111.
    88. Fosgerau, Mogens & Kim, Jinwon & Ranjan, Abhishek, 2018. "Vickrey meets Alonso: Commute scheduling and congestion in a monocentric city," Journal of Urban Economics, Elsevier, vol. 105(C), pages 40-53.
    89. Qi Zhong & Lixin Miao, 2024. "Reliability-Based Mixed Traffic Equilibrium Problem Under Endogenous Market Penetration of Connected Autonomous Vehicles and Uncertainty in Supply," Networks and Spatial Economics, Springer, vol. 24(2), pages 461-505, June.
    90. Gillen, David & Hasheminia, Hamed, 2016. "Measuring reliability of transportation networks using snapshots of movements in the network – An analytical and empirical study," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 808-824.
    91. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

  46. Kuosmanen, Timo & Fosgerau, Mogens, 2009. "Neoclassical versus frontier production models? Testing for the skewness of regression residuals," MPRA Paper 24208, University Library of Munich, Germany.

    Cited by:

    1. Manner, Hans & Hafner, Christian & Simar, Leopold, 2015. "The wrong skewness problem in stochastic frontier models: A new approach," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112812, Verein für Socialpolitik / German Economic Association.
    2. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    3. Dai, Xiaofeng, 2016. "Non-parametric efficiency estimation using Richardson–Lucy blind deconvolution," European Journal of Operational Research, Elsevier, vol. 248(2), pages 731-739.
    4. Alecos Papadopoulos & Christopher F. Parmeter, 2024. "The wrong skewness problem in stochastic frontier analysis: a review," Journal of Productivity Analysis, Springer, vol. 61(2), pages 121-134, April.
    5. Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.
    6. Mekaroonreung, Maethee & Johnson, Andrew L., 2014. "A nonparametric method to estimate a technical change effect on marginal abatement costs of U.S. coal power plants," Energy Economics, Elsevier, vol. 46(C), pages 45-55.
    7. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
    8. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    9. Kuosmanen, Timo, 2012. "Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model," Energy Economics, Elsevier, vol. 34(6), pages 2189-2199.
    10. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
    11. Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
    12. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    13. Ahmed S & Sonia Pérez-F & Carlos Carleos A & Norberto C & Pablo Martínez C, 2018. "Inference in Stochastic Frontier Models Based on Asymmetry," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 4(4), pages 99-108, January.
    14. Mekaroonreung, Maethee & Johnson, Andrew L., 2012. "Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach," Energy Economics, Elsevier, vol. 34(3), pages 723-732.

  47. Pilegaard, Ninette & Fosgerau, Mogens, 2008. "Cost benefit-analysis of a transport improvement in the case of search unemployment," MPRA Paper 10037, University Library of Munich, Germany.

    Cited by:

    1. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    2. Börjesson, Maria & Kristoffersson, Ida, 2014. "Assessing the welfare effects of congestion charges in a real world setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 339-355.
    3. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    4. Piotr Rosik & Julia Wójcik, 2022. "Transport Infrastructure and Regional Development: A Survey of Literature on Wider Economic and Spatial Impacts," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    5. Avetisyan, Misak & Heatwole, Nathaniel & Rose, Adam & Roberts, Bryan, 2015. "Competitiveness and macroeconomic impacts of reduced wait times at U.S. land freight border crossings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 84-101.
    6. Andersson, Matts & Dehlin, Fredrik & Jörgensen, Peter & Pädam, Sirje, 2015. "Wider economic impacts of accessibility: a literature survey," Working papers in Transport Economics 2015:14, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    7. Börjesson, Maria & Isacsson, Gunnar & Andersson, Matts & Anderstig, Christer, 2018. "Agglomeration, productivity and the role of transport system improvements," Working papers in Transport Economics 2018:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    8. Anderstig, Christer & Berglund, Svante & Eliasson, Jonas & Andersson, Matts & Pyddoke, Roger, 2012. "Congestion charges and labour market imperfections: “Wider economic benefits” or “losses”?," Working papers in Transport Economics 2012:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    9. Daniel G. Chatman & Robert B. Noland, 2014. "Transit Service, Physical Agglomeration and Productivity in US Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 51(5), pages 917-937, April.
    10. Charles Raux & Stéphanie Souche & Damien Pons, 2012. "The efficiency of congestion charging: Some lessons from cost-benefit analyses," Post-Print halshs-01026428, HAL.
    11. Eliasson, Jonas & Fosgerau, Mogens, 2017. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," Working papers in Transport Economics 2017:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    12. Bert van Wee & Piet Rietveld, 2013. "CBA: ex ante evaluation of mega-projects," Chapters, in: Hugo Priemus & Bert van Wee (ed.), International Handbook on Mega-Projects, chapter 12, pages 269-290, Edward Elgar Publishing.
    13. Kilani, M. & Diop, N. & De Wolf, Daniel, 2021. "A multimodal transport model to evaluate transport policies in the North of France," LIDAM Discussion Papers CORE 2021030, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. De Borger, Bruno & Fosgerau, Mogens, 2008. "The trade-off between money and travel time: A test of the theory of reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 64(1), pages 101-115, July.
    15. Hirte, Georg & Tscharaktschiew, Stefan, 2020. "The role of labor-supply margins in shaping optimal transport taxes," Economics of Transportation, Elsevier, vol. 22(C).
    16. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    17. Börjesson, Maria & Kristoffersson, Ida, 2012. "Estimating welfare effects of congestion charges in real world settings," Working papers in Transport Economics 2012:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    18. Avetisyan, Misak & Heatwole, Nathaniel & Rose, Adam & Roberts, Bryan, 2014. "Competitiveness and Macroeconomic Impacts of Reduced Wait Times at U.S. Land Freight Border Crossings," Conference papers 332435, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    19. Laird, James J. & Mackie, Peter J., 2014. "Wider economic benefits of transport schemes in remote rural areas," Research in Transportation Economics, Elsevier, vol. 47(C), pages 92-102.
    20. Vandyck, Toon & Rutherford, Thomas F., 2018. "Regional labor markets, commuting, and the economic impact of road pricing," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 217-236.
    21. Jonas Westin, 2011. "Labor Market Effects of Road Pricing in a Population with Continuously Distributed Value of Time," ERSA conference papers ersa10p1458, European Regional Science Association.
    22. Fosgerau, Mogens & Pilegaard, Ninette, 2007. "Cost-benefit rules for transport projects when labor supply is endogenous and taxes are distortionary," MPRA Paper 3902, University Library of Munich, Germany.
    23. Zhu, Xueqin & Van Ommeren, Jos & Rietveld, Piet, 2009. "Indirect benefits of infrastructure improvement in the case of an imperfect labor market," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 57-72, January.

  48. Fosgerau, Mogens, 2008. "Hedonic preferences, symmetric loss aversion and the willingness to pay-willingness to accept gap," MPRA Paper 10041, University Library of Munich, Germany.

    Cited by:

    1. Katrine Hjorth & Mogens Fosgerau, 2011. "Loss Aversion and Individual Characteristics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 573-596, August.

  49. Fosgerau, Mogens & Hess, Stephane, 2008. "Competing methods for representing random taste heterogeneity in discrete choice models," MPRA Paper 10038, University Library of Munich, Germany.

    Cited by:

    1. Kandelhardt, Johannes, 2023. "Flexible estimation of random coefficient logit models of differentiated product demand," DICE Discussion Papers 399, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.
    3. de Lapparent, M., & Axhausen , K.W. & Frei, A., 2013. "Long distance mode choice and distributions of values of travel time savings in three European countries," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-7.
    4. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.

  50. Fosgerau, Mogens, 2008. "On the relation between the mean and variance of delay in dynamic queues with random capacity and demand," MPRA Paper 11994, University Library of Munich, Germany.

    Cited by:

    1. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
    2. Lamotte, Raphaël & de Palma, André & Geroliminis, Nikolas, 2017. "On the use of reservation-based autonomous vehicles for demand management," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 205-227.
    3. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    4. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.
    5. Amirgholy, Mahyar & Gonzales, Eric J., 2017. "Efficient frontier of route choice for modeling the equilibrium under travel time variability with heterogeneous traveler preferences," Economics of Transportation, Elsevier, vol. 11, pages 1-14.
    6. Wang, Tao & Liao, Peng & Tang, Tie-Qiao & Huang, Hai-Jun, 2022. "Deterministic capacity drop and morning commute in traffic corridor with tandem bottlenecks: A new manifestation of capacity expansion paradox," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    7. Yu Xiao & Nicolas Coulombel & André de Palma, 2017. "The valuation of travel time reliability: does congestion matter?," Post-Print hal-01465956, HAL.
    8. Liu, Yang & Li, Yuanyuan & Hu, Lu, 2018. "Departure time and route choices in bottleneck equilibrium under risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 774-793.
    9. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    10. Kathrin Goldmann & Gernot Sieg, 2018. "Economic implications of phantom traffic jams: Evidence from traffic experiments," Working Papers 26, Institute of Transport Economics, University of Muenster.
    11. Paul Koster & Eric Kroes & Erik T. Verhoef, 2010. "Travel Time Variability and Airport Accessibility," Tinbergen Institute Discussion Papers 10-061/3, Tinbergen Institute.
    12. Ren-Yong Guo & Hai Yang & Hai-Jun Huang, 2018. "Are We Really Solving the Dynamic Traffic Equilibrium Problem with a Departure Time Choice?," Transportation Science, INFORMS, vol. 52(3), pages 603-620, June.
    13. Paul Koster & Eric Pels & Erik Verhoef, 2013. "The User Costs of Air Travel Delay Variability," Tinbergen Institute Discussion Papers 13-056/VIII, Tinbergen Institute.
    14. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," MPRA Paper 48708, University Library of Munich, Germany.
    15. Ling-Ling Xiao & Hai-Jun Huang & Ronghui Liu, 2015. "Congestion Behavior and Tolls in a Bottleneck Model with Stochastic Capacity," Transportation Science, INFORMS, vol. 49(1), pages 46-65, February.
    16. Qiumin Liu & Vincent A.C. van den Berg & Erik T. Verhoef & Rui Jiang, 2024. "Pricing in the Stochastic Bottleneck Model with Price-Sensitive Demand," Tinbergen Institute Discussion Papers 24-011/VIII, Tinbergen Institute, revised 22 Oct 2024.
    17. Yuyang Zhou & Minhe Zhao & Songtao Tang & William H. K. Lam & Anthony Chen & N. N. Sze & Yanyan Chen, 2020. "Assessing the Relationship between Access Travel Time Estimation and the Accessibility to High Speed Railway Station by Different Travel Modes," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    18. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    19. Long, Jiancheng & Tan, Weimin & Szeto, W.Y. & Li, Yao, 2018. "Ride-sharing with travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 143-171.
    20. Nicolas Coulombel & André de Palma, 2014. "The marginal social cost of travel time variability," Post-Print hal-01100105, HAL.
    21. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    22. Zheng Li & Alejandro Tirachini & David A. Hensher, 2012. "Embedding Risk Attitudes in a Scheduling Model: Application to the Study of Commuting Departure Time," Transportation Science, INFORMS, vol. 46(2), pages 170-188, May.
    23. Eliasson, Jonas, 2009. "Forecasting travel time variability," MPRA Paper 92470, University Library of Munich, Germany.
    24. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    25. André de Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.
    26. Liu, Qiumin & Jiang, Rui & Liu, Ronghui & Zhao, Hui & Gao, Ziyou, 2020. "Travel cost budget based user equilibrium in a bottleneck model with stochastic capacity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 1-37.
    27. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    28. Kim, Jiwon & Mahmassani, Hani S., 2015. "Compound Gamma representation for modeling travel time variability in a traffic network," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 40-63.
    29. Nicholas B. Taylor & Benjamin G. Heydecker, 2015. "Estimating probability distributions of dynamic queues," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(1), pages 3-27, February.

  51. Fosgerau, Mogens, 2008. "Congestion costs in bottleneck equilibrium with stochastic capacity and demand," MPRA Paper 10040, University Library of Munich, Germany.

    Cited by:

    1. Yu Xiao & Nicolas Coulombel & André de Palma, 2017. "The valuation of travel time reliability: does congestion matter?," Post-Print hal-01465956, HAL.
    2. Eva Gutiérrez-i-Puigarnau & Jos N. Van Ommeren, 2012. "Start Time and Worker Compensation Implications for Staggered-Hours Programmes," Journal of Transport Economics and Policy, University of Bath, vol. 46(2), pages 205-220, May.
    3. Liu, Yang & Li, Yuanyuan & Hu, Lu, 2018. "Departure time and route choices in bottleneck equilibrium under risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 774-793.
    4. Fosgerau, Mogens, 2010. "On the relation between the mean and variance of delay in dynamic queues with random capacity and demand," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 598-603, April.
    5. Ling-Ling Xiao & Hai-Jun Huang & Ronghui Liu, 2015. "Congestion Behavior and Tolls in a Bottleneck Model with Stochastic Capacity," Transportation Science, INFORMS, vol. 49(1), pages 46-65, February.
    6. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    7. Han, Xiao & Yu, Yun & Gao, Zi-You & Zhang, H. Michael, 2021. "The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 205-226.
    8. Liu, Qiumin & Jiang, Rui & Liu, Ronghui & Zhao, Hui & Gao, Ziyou, 2020. "Travel cost budget based user equilibrium in a bottleneck model with stochastic capacity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 1-37.

  52. van Ommeren, Jos & Fosgerau, Mogens, 2008. "Workers' marginal costs of commuting," MPRA Paper 12010, University Library of Munich, Germany.

    Cited by:

    1. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    2. Barbora Mazúrová & Ján Kollár & Gabriela Nedelová, 2021. "Travel Mode of Commuting in Context of Subjective Well-Being—Experience from Slovakia," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    3. Peter Bäckström & Erika Sandow & Olle Westerlund, 2016. "Commuting and timing of retirement," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 125-152, January.
    4. Dimitrios TSIOTAS & Nikolaos AXELIS & Serafeim POLYZOS, 2022. "Detecting City-Dipoles In Greece Based On Intercity Commuting," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 11-30, June.
    5. Giovanni Russo & Jos Ommeren & Piet Rietveld, 2012. "The university workers’ willingness to pay for commuting," Transportation, Springer, vol. 39(6), pages 1121-1132, November.
    6. Markus Nagler & Johannes Rincke & Erwin Winkler, 2024. "Working from home, commuting, and gender," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(3), pages 1-23, September.
    7. Jose Alberto Lara-Pulido & Adan L. Martinez-Cruz, 2023. "Stated benefits of teleworking in Mexico City: a discrete choice experiment on office workers," Transportation, Springer, vol. 50(5), pages 1743-1807, October.
    8. Akiko Sakanishi, 2020. "Urban commuting behavior and time allocation among women: Evidence from US metropolitan areas," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 349-363, April.
    9. Meekes, Jordy & Hassink, Wolter, 2017. "The Role of the Housing Market in Workers' Resilience to Job Displacement after Firm Bankruptcy," IZA Discussion Papers 10894, Institute of Labor Economics (IZA).
    10. Bergemann, Annette & Brunow, Stephan & Stockton, Isabel, 2024. "There and Back Again: Women's Marginal Commuting Costs," IZA Discussion Papers 16890, Institute of Labor Economics (IZA).
    11. Ariel Goldszmidt & John List & Robert Metcalfe & Ian Muir & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," Natural Field Experiments 00720, The Field Experiments Website.
    12. Georg Hirte & Stefan Tscharaktschiew, 2015. "Why not to choose the most convenient labor supply model? The impact of labor supply modeling on policy evaluation," ERSA conference papers ersa15p303, European Regional Science Association.
    13. Duco Vos & Evert Meijers & Maarten Ham, 2018. "Working from home and the willingness to accept a longer commute," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 375-398, September.
    14. Harsman, Bjorn & Quigley, John M., 2010. "Political and Public Acceptability of Congestion Pricing: Ideology and Self Interest," University of California Transportation Center, Working Papers qt14n0h1nv, University of California Transportation Center.
    15. Ismir Mulalic & Jos N. van Ommeren & Ninette Pilegaard, 2010. "Wages and Commuting: Quasi-Natural Experiments' Evidence from Firms that relocate," Tinbergen Institute Discussion Papers 10-093/3, Tinbergen Institute.
    16. Sergii TROSHCHENKOV, 2016. "Return to Commuting Distance in Sweden," Departmental Working Papers 2016-08, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    17. Peer, Stefanie & Verhoef, Erik T., 2013. "Equilibrium at a bottleneck when long-run and short-run scheduling preferences diverge," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 12-27.
    18. Geraci, Andrea & L. Bryan, Mark, 2016. "Non-standard work: what’s it worth? Comparing alternative measures of workers’ marginal willingness to pay," ISER Working Paper Series 2016-12, Institute for Social and Economic Research.
    19. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    20. Meekes, Jordy & Hassink, Wolter, 2020. "Fired and Pregnant: Gender Differences in Job Flexibility Outcomes after Job Loss," IZA Discussion Papers 13779, Institute of Labor Economics (IZA).
    21. Borghorst, Malte & Mulalic, Ismir & van Ommeren, Jos, 2021. "Commuting, Children and the Gender Wage Gap," Working Papers 15-2021, Copenhagen Business School, Department of Economics.
    22. Eva Gutierrez-i-Puigarnau & Jos van Ommeren, 2009. "Labour Supply and Commuting: Implications for Optimal Road Taxes," Tinbergen Institute Discussion Papers 09-008/3, Tinbergen Institute.
    23. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    24. Gershenson, Seth, 2013. "The causal effect of commute time on labor supply: Evidence from a natural experiment involving substitute teachers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 127-140.
    25. Meekes, Jordy & Hassink, Wolter H.J., 2019. "The role of the housing market in workers′ resilience to job displacement after firm bankruptcy," Journal of Urban Economics, Elsevier, vol. 109(C), pages 41-65.
    26. Dimitrios Tsiotas & Labros Sdrolias & Dimitrios Belias, 2020. "The network paradigm as a modeling tool in regional economy: the case of interregional commuting in Greece," Papers 2001.09664, arXiv.org.
    27. Dimitrios Tsiotas & Serafeim Polyzos, 2021. "Making the Web-Science Operational for Interregional Commuting Analysis: Evidence from Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 1-14, June.
    28. Dauth, Wolfgang & Haller, Peter, 2016. "The valuation of changes in commuting distances: an analysis using georeferenced data," IAB-Discussion Paper 201643, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    29. Dauth, Wolfgang & Haller, Peter, 2020. "Is there loss aversion in the trade-off between wages and commuting distances?," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    30. Grimm, Michael & Treibich, Carole, 2016. "Why do some motorbike riders wear a helmet and others don’t? Evidence from Delhi, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 318-336.
    31. Jost, Ramona, 2020. "Persistence of commuting habits: Context effects in Germany," IAB-Discussion Paper 202014, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    32. Jos van Ommeren & Derk Wentink & Jasper Dekkers, 2009. "The Real Price of Parking Policy," Tinbergen Institute Discussion Papers 09-083/3, Tinbergen Institute.
    33. Bergantino, Angela Stefania & Madio, Leonardo, 2016. "Travel-to-work. Which factors matter? An analysis on regional labor markets in the Uk," Working Papers 16_1, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    34. Inga Laß & Thomas Skora & Heiko Rüger & Mark Wooden & Martin Bujard, 2024. "Does temporary employment increase length of commuting? Longitudinal evidence from Australia and Germany," Transportation, Springer, vol. 51(4), pages 1467-1491, August.
    35. Gutiérrez-i-Puigarnau, Eva & van Ommeren, Jos, 2010. "Labour Supply and Commuting," IZA Discussion Papers 4798, Institute of Labor Economics (IZA).
    36. Dimitrios Tsiotas & Vassilis Tselios, 2023. "Dimension Reduction in the Topology of Multilayer Spatial Networks: The Case of the Interregional Commuting in Greece," Networks and Spatial Economics, Springer, vol. 23(1), pages 97-133, March.
    37. Maye Ehab, 2018. "The Commuting Gender Gap and Females’ Participation and Earnings in the Egyptian Labor Market," Working Papers 1211, Economic Research Forum, revised 21 Jun 2018.
    38. Thomas Skora & Heiko Rüger & Nico Stawarz, 2020. "Commuting and the Motherhood Wage Gap: Evidence from Germany," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    39. Anas, Alex & Hiramatsu, Tomoru, 2013. "The economics of cordon tolling: General equilibrium and welfare analysis," Economics of Transportation, Elsevier, vol. 2(1), pages 18-37.
    40. Weiss, Martin, 2009. "How do Germans react to the commuting allowance?," arqus Discussion Papers in Quantitative Tax Research 88, arqus - Arbeitskreis Quantitative Steuerlehre.
    41. Caplan, Arthur J. & Akhundjanov, Sherzod B. & Toll, Kristopher, 2021. "Measuring heterogeneous preferences for residential amenities," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    42. Palacios, Saúl, 2021. "Desplazamientos y autoempleo en Francia: diferencias por género [Commuting y self-employment in France: gender differences]," MPRA Paper 106555, University Library of Munich, Germany.
    43. Jos Van Ommeren & Marnix Koopman, 2010. "Public Housing and the Value of Apartment Quality to Households," Tinbergen Institute Discussion Papers 10-085/3, Tinbergen Institute.
    44. Elisa Guglielminetti & Rafael Lalive & Philippe Ruh & Etienne Wasmer, 2019. "Home Sweet Home? Job Search with Commuting and Unemployment Insurance," Working Papers hal-03950253, HAL.
    45. Stefanie Peer & Erik Verhoef & Jasper Knockaert & Paul Koster & Yin‐Yen Tseng, 2015. "Long‐Run Versus Short‐Run Perspectives On Consumer Scheduling: Evidence From A Revealed‐Preference Experiment Among Peak‐Hour Road Commuters," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 303-323, February.
    46. Stefanie Peer & Erik Verhoef & Jasper Knockaert & Paul Koster & Yin-Yen Tseng, 2011. "Long-Run vs. Short-Run Perspectives on Consumer Scheduling: Evidence from a Revealed-Preference Experiment among Peak-Hour Road Commuters," Tinbergen Institute Discussion Papers 11-181/3, Tinbergen Institute, revised 25 Aug 2014.
    47. Beck, Matthew J. & Hess, Stephane & Cabral, Manuel Ojeda & Dubernet, Ilka, 2017. "Valuing travel time savings: A case of short-term or long term choices?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 133-143.
    48. Van Ommeren, Jos & Graaf-de Zijl, Marloes, 2013. "Estimating household demand for housing attributes in rent-controlled markets," Journal of Housing Economics, Elsevier, vol. 22(1), pages 11-19.
    49. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
    50. Meekes, Jordy & Hassink, Wolter H.J., 2022. "Gender differences in job flexibility: Commutes and working hours after job loss," Journal of Urban Economics, Elsevier, vol. 129(C).
    51. Ferreira, João-Pedro & Marques, João Lourenço & Moreno Pires, Sara & Iha, Katsunori & Galli, Alessandro, 2023. "Supporting national-level policies for sustainable consumption in Portugal: A socio-economic Ecological Footprint analysis," Ecological Economics, Elsevier, vol. 205(C).
    52. Dauth, Wolfgang & Haller, Peter, 2018. "Berufliches Pendeln zwischen Wohn- und Arbeitsort: Klarer Trend zu längeren Pendeldistanzen (Commuting between home and workplace: Trend towards longer commute distances)," IAB-Kurzbericht 201810, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    53. Xiao, Hongyu & Wu, Andy & Kim, Jaeho, 2021. "Commuting and innovation: Are closer inventors more productive?," Journal of Urban Economics, Elsevier, vol. 121(C).
    54. Dimitrios TSIOTAS & Serafeim POLYZOS, 2024. "Analyzing The Spatial Interactions In The Nationwide Regional Capitals Network Of Greece," Sustainable Regional Development Scientific Journal, Sustainable Regional Development Scientific Journal, vol. 0(3), pages 73-81, March.
    55. Jorge González Chapela, 2012. "The Effect of Residential Location on Retirement Age: Theory and Some Evidence on Male Behaviour in the US," Urban Studies, Urban Studies Journal Limited, vol. 49(10), pages 2153-2168, August.
    56. Anas, Alex & Hiramatsu, Tomoru, 2012. "The effect of the price of gasoline on the urban economy: From route choice to general equilibrium," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 855-873.
    57. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    58. Borck, Rainald & Wrede, Matthias, 2009. "Subsidies for intracity and intercity commuting," Journal of Urban Economics, Elsevier, vol. 66(1), pages 25-32, July.
    59. Stephan Brunow & Ramona Jost, 2023. "Being a long distance out-commuter or home employee in a rather peripheral region evidence of a German federal state," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(2), pages 317-342, August.
    60. Abrahams, Scott & Mabli, James, 2024. "Commuting barriers to low-wage employment," Regional Science and Urban Economics, Elsevier, vol. 104(C).
    61. Sabir, Muhammad & van Ommeren, Jos & Rietveld, Piet, 2013. "Weather to travel to the beach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 79-86.
    62. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2024. "Commuting, Wages, and Household Behavior," IZA Discussion Papers 17128, Institute of Labor Economics (IZA).
    63. Tillema, Taede & Ben-Elia, Eran & Ettema, Dick & van Delden, Janet, 2013. "Charging versus rewarding: A comparison of road-pricing and rewarding peak avoidance in the Netherlands," Transport Policy, Elsevier, vol. 26(C), pages 4-14.
    64. Baumgart, Eike & Blaufus, Kay & Hechtner, Frank, 2023. "The tax treatment of commuting expenses and job-related mobility," arqus Discussion Papers in Quantitative Tax Research 280, arqus - Arbeitskreis Quantitative Steuerlehre.

  53. Fosgerau, Mogens, 2008. "The value of headway for a scheduled service," MPRA Paper 11995, University Library of Munich, Germany.

    Cited by:

    1. Ait Ali, Abderrahman & Warg, Jennifer & Eliasson, Jonas, 2019. "Pricing commercial train path requests based on societal costs," Working Papers 2019:2, Swedish National Road & Transport Research Institute (VTI).

  54. Fosgerau, Mogens & Bierlaire, Michel, 2007. "Circumventing the problem of the scale: discrete choice models with multiplicative error terms," MPRA Paper 3901, University Library of Munich, Germany.

    Cited by:

    1. Hess, S. & Bierlaire, Michel & Polak, J.W., 2007. "A systematic comparison of continuous and discrete mixture models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 35-61.

  55. Fosgerau, Mogens & Karlström, Anders, 2007. "The value of reliability," MPRA Paper 5733, University Library of Munich, Germany.

    Cited by:

    1. Xiao, Yu & Fukuda, Daisuke, 2015. "On the cost of misperceived travel time variability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 96-112.
    2. Kouwenhoven, Marco & de Jong, Gerard C. & Koster, Paul & van den Berg, Vincent A.C. & Verhoef, Erik T. & Bates, John & Warffemius, Pim M.J., 2014. "New values of time and reliability in passenger transport in The Netherlands," Research in Transportation Economics, Elsevier, vol. 47(C), pages 37-49.
    3. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos, 2021. "Travel preferences of public transport users under uneven headways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 61-75.
    4. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
    5. Chen, Anthony & Zhou, Zhong & Lam, William H.K., 2011. "Modeling stochastic perception error in the mean-excess traffic equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1619-1640.
    6. Li, Zheng & Hensher, David A., 2012. "Estimating values of travel time savings for toll roads: Avoiding a common error," Transport Policy, Elsevier, vol. 24(C), pages 60-66.
    7. Mark G. Lijesen, 2014. "Optimal Traveler Responses to Stochastic Delays in Public Transport," Transportation Science, INFORMS, vol. 48(2), pages 256-264, May.
    8. Paul R. Koster & Erik T. Verhoef, 2010. "A Rank Dependent Scheduling Model," Tinbergen Institute Discussion Papers 10-069/3, Tinbergen Institute, revised 26 Aug 2010.
    9. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    10. Börjesson, Maria & Kristoffersson, Ida, 2014. "Assessing the welfare effects of congestion charges in a real world setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 339-355.
    11. Lamotte, Raphaël & de Palma, André & Geroliminis, Nikolas, 2017. "On the use of reservation-based autonomous vehicles for demand management," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 205-227.
    12. Li, Baibing, 2019. "Measuring travel time reliability and risk: A nonparametric approach," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 152-171.
    13. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    14. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.
    15. Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    16. Guillaume Monchambert & André de Palma, 2014. "Public transport reliability and commuter strategy," Post-Print hal-00827972, HAL.
    17. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    18. Paul Koster & Hans Koster, 2013. "Analysing Heterogeneity in the Value of Travel Time and Reliability: A Semiparametric Estimation Approach," ERSA conference papers ersa13p1032, European Regional Science Association.
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    21. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    22. Koster, Paul & Peer, Stefanie & Dekker, Thijs, 2015. "Memory, expectation formation and scheduling choices," Economics of Transportation, Elsevier, vol. 4(4), pages 256-265.
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    28. Rajesh S. Prabhu Gaonkar & V. Mariappan, 0. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-11.
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    70. Uchida, Kenetsu, 2014. "Estimating the value of travel time and of travel time reliability in road networks," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 129-147.
    71. Han, Xiao & Yu, Yun & Gao, Zi-You & Zhang, H. Michael, 2021. "The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 205-226.
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    73. Fosgerau, Mogens, 2009. "The marginal social cost of headway for a scheduled service," Transportation Research Part B: Methodological, Elsevier, vol. 43(8-9), pages 813-820, September.
    74. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
    75. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    76. Eric Kroes & Paul Koster & Stefanie Peer, 2018. "A practical method to estimate the benefits of improved road network reliability: an application to departing air passengers," Transportation, Springer, vol. 45(5), pages 1433-1448, September.
    77. Daniel Jonsson & Anders Karlström & Masoud Fadaei Oshyani & Per Olsson, 2014. "Reconciling User Benefit and Time-Geography-Based Individual Accessibility Measures," Environment and Planning B, , vol. 41(6), pages 1031-1043, December.
    78. André de Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.
    79. Sergejs Gubins & Erik T. Verhoef & Thomas de Graaff, 2010. "Welfare Effects of Road Pricing and Traffic Information under Alternative Ownership Regimes," Tinbergen Institute Discussion Papers 10-091/3, Tinbergen Institute.
    80. Stefanie Peer & Erik Verhoef & Jasper Knockaert & Paul Koster & Yin-Yen Tseng, 2011. "Long-Run vs. Short-Run Perspectives on Consumer Scheduling: Evidence from a Revealed-Preference Experiment among Peak-Hour Road Commuters," Tinbergen Institute Discussion Papers 11-181/3, Tinbergen Institute, revised 25 Aug 2014.
    81. Jenelius, Erik & Mattsson, Lars-Göran & Levinson, David, 2011. "Traveler delay costs and value of time with trip chains, flexible activity scheduling and information," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 789-807, June.
    82. Xu, Xiangdong & Chen, Anthony & Cheng, Lin & Lo, Hong K., 2014. "Modeling distribution tail in network performance assessment: A mean-excess total travel time risk measure and analytical estimation method," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 32-49.
    83. Engelson, Leonid & Fosgerau, Mogens, 2011. "Additive measures of travel time variability," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1560-1571.
    84. Börjesson, Maria & Kristoffersson, Ida, 2012. "Estimating welfare effects of congestion charges in real world settings," Working papers in Transport Economics 2012:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    85. Liu, Qiumin & Jiang, Rui & Liu, Ronghui & Zhao, Hui & Gao, Ziyou, 2020. "Travel cost budget based user equilibrium in a bottleneck model with stochastic capacity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 1-37.
    86. Li, Hao & Tu, Huizhao & Hensher, David A., 2016. "Integrating the mean–variance and scheduling approaches to allow for schedule delay and trip time variability under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 151-163.
    87. Dixit, Vinayak V. & Harb, Rami C. & Martínez-Correa, Jimmy & Rutström, Elisabet E., 2015. "Measuring risk aversion to guide transportation policy: Contexts, incentives, and respondents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 15-34.
    88. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    89. Badiola, Nicolás & Raveau, Sebastián & Galilea, Patricia, 2019. "Modelling preferences towards activities and their effect on departure time choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 39-51.
    90. Eric Kroes & Paul R. Koster & Stefanie Peer, 2014. "A Practical Method to estimate the Benefits of Improved Network Reliability: An Application to Departing Air Passengers," Tinbergen Institute Discussion Papers 14-130/VIII, Tinbergen Institute.
    91. Gu, Yu & Fu, Xiao & Liu, Zhiyuan & Xu, Xiangdong & Chen, Anthony, 2020. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    92. Oskar Blom Västberg & Anders Karlström & Daniel Jonsson & Marcus Sundberg, 2020. "A Dynamic Discrete Choice Activity-Based Travel Demand Model," Transportation Science, INFORMS, vol. 54(1), pages 21-41, January.
    93. Yuan, PengCheng & Juan, ZhiCai, 2013. "The related congestion failure estimating methodology and model in transportation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4330-4344.
    94. Høyem, Harald & Odeck, James, 2020. "Optimal public transit frequency under stochastic demand and fixed vehicle size: Application in the Norwegian car ferry sector," Research in Transportation Economics, Elsevier, vol. 82(C).
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    97. Junlong Zhang & William Lam & Bi Chen, 2013. "A Stochastic Vehicle Routing Problem with Travel Time Uncertainty: Trade-Off Between Cost and Customer Service," Networks and Spatial Economics, Springer, vol. 13(4), pages 471-496, December.
    98. Kilkki, Kalevi & Hämmäinen, Heikki, 2019. "Value of Time in the Context of Communications Services," 30th European Regional ITS Conference, Helsinki 2019 205189, International Telecommunications Society (ITS).
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    101. Rajesh S. Prabhu Gaonkar & V. Mariappan, 2020. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 736-746, June.
    102. Wang, Dong & Liao, Feixiong & Gao, Ziyou & Timmermans, Harry, 2019. "Tolerance-based strategies for extending the column generation algorithm to the bounded rational dynamic user equilibrium problem," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 102-121.
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    106. Jenelius, Erik, 2012. "The value of travel time variability with trip chains, flexible scheduling and correlated travel times," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 762-780.
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  56. Fosgerau, Mogens & Hjort, Katrine & Vincent Lyk-Jensen, Stéphanie, 2007. "An approach to the estimation of the distribution of marginal valuations from discrete choice data," MPRA Paper 3907, University Library of Munich, Germany.

    Cited by:

    1. Manuel Ojeda-Cabral & Stephane Hess & Richard Batley, 2018. "Understanding valuation of travel time changes: are preferences different under different stated choice design settings?," Transportation, Springer, vol. 45(1), pages 1-21, January.
    2. Ojeda-Cabral, Manuel & Chorus, Caspar G., 2016. "Value of travel time changes: Theory and simulation to understand the connection between Random Valuation and Random Utility methods," Transport Policy, Elsevier, vol. 48(C), pages 139-145.
    3. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    4. Fosgerau, Mogens & Nielsen, Søren Feodor, 2007. "Deconvoluting preferences and errors: a model for binomial panel data," MPRA Paper 3950, University Library of Munich, Germany.

  57. Fosgerau, Mogens & Nielsen, Søren Feodor, 2007. "Deconvoluting preferences and errors: a model for binomial panel data," MPRA Paper 3950, University Library of Munich, Germany.

    Cited by:

    1. Mikołaj Czajkowski & Marek Giergiczny & William H. Greene, 2012. "Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments," Working Papers 2012-08, Faculty of Economic Sciences, University of Warsaw.
    2. Fosgerau, Mogens & Mabit, Stefan L., 2013. "Easy and flexible mixture distributions," Economics Letters, Elsevier, vol. 120(2), pages 206-210.
    3. Mogens Fosgerau, 2024. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 308-318, Edward Elgar Publishing.
    4. Mikolaj Czajkowski & Marek Giergiczny & William H. Greene, 2014. "Learning and Fatigue Effects Revisited: Investigating the Effects of Accounting for Unobservable Preference and Scale Heterogeneity," Land Economics, University of Wisconsin Press, vol. 90(2), pages 324-351.
    5. Hess, Stephane & Rose, John M., 2009. "Allowing for intra-respondent variations in coefficients estimated on repeated choice data," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 708-719, July.

  58. Fosgerau, Mogens & Pilegaard, Ninette, 2007. "Cost-benefit rules for transport projects when labor supply is endogenous and taxes are distortionary," MPRA Paper 3902, University Library of Munich, Germany.

    Cited by:

    1. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    2. Markandya, Anil & Ortiz, Ramon Arigoni & Mudgal, Shailendra & Tinetti, Benoit, 2009. "Analysis of tax incentives for energy-efficient durables in the EU," Energy Policy, Elsevier, vol. 37(12), pages 5662-5674, December.
    3. Georg Hirte & Stefan Tscharaktschiew, 2015. "Why not to choose the most convenient labor supply model? The impact of labor supply modeling on policy evaluation," ERSA conference papers ersa15p303, European Regional Science Association.
    4. Calthrop, Edward & De Borger, Bruno & Proost, Stef, 2010. "Cost-benefit analysis of transport investments in distorted economies," Transportation Research Part B: Methodological, Elsevier, vol. 44(7), pages 850-869, August.

  59. De Borger, Bruno & Fosgerau, Mogens, 2007. "Discrete choices and the trade-off between money and time: A test of the theory of reference-dependent preferences," MPRA Paper 3904, University Library of Munich, Germany.

    Cited by:

    1. Lucia Rotaris & Romeo Danielis & Igor Sarman & Edoardo Marcucci, 2012. "Testing for nonlinearity in the choice of a freight transport service," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 50, pages 1-4.
    2. van Ommeren, Jos & Fosgerau, Mogens, 2008. "Workers' marginal costs of commuting," MPRA Paper 12010, University Library of Munich, Germany.

  60. Fosgerau, Mogens, 2007. "Using nonparametrics to specify a model to measure the value of travel time," MPRA Paper 12009, University Library of Munich, Germany.

    Cited by:

    1. Mogens Fosgerau & Michel Bierlaire, 2005. "A practical test for the choice of mixing distribution in a discrete choice model," Econometrics 0512002, University Library of Munich, Germany.
    2. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    3. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    4. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "Catching the Tail: Empirical Identification of the Distribution of the Value of Travel Time," MPRA Paper 69099, University Library of Munich, Germany.
    5. Oyama, Yuki & Fukuda, Daisuke & Imura, Naoto & Nishinari, Katsuhiro, 2024. "Do people really want fast and precisely scheduled delivery? E-commerce customers' valuations of home delivery timing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    6. Paul Koster & Hans Koster, 2013. "Analysing Heterogeneity in the Value of Travel Time and Reliability: A Semiparametric Estimation Approach," ERSA conference papers ersa13p1032, European Regional Science Association.
    7. Börjesson, Maria & Eliasson, Jonas, 2017. "Should values of time be differentiated?," Working papers in Transport Economics 2017:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    8. Jemal Ahmed & Tewodros Tefera & Girma T. Kassie, 2020. "Consumers’ preference and willingness to pay for enriched snack product traits in Shashamane and Hawassa cities, Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-20, December.
    9. Hultkrantz, Lars & Shengcong, Xue, 2009. "Mitigating Hypothetical Bias in Value of Time Studies: Lab-Experiment Results," Working Papers 2009:14, Örebro University, School of Business, revised 01 Nov 2010.
    10. Fosgerau, Mogens & Karlström, Anders, 2007. "The value of reliability," MPRA Paper 5733, University Library of Munich, Germany.
    11. Fosgerau, Mogens & Bierlaire, Michel, 2007. "Circumventing the problem of the scale: discrete choice models with multiplicative error terms," MPRA Paper 3901, University Library of Munich, Germany.
    12. Thijs Dekker & Paul Koster & Roy Brouwer, 2013. "Changing with the Tide: Semi-Parametric Estimation of Preference Dynamics," Tinbergen Institute Discussion Papers 13-074/VIII, Tinbergen Institute.
    13. Salling, Kim Bang & Banister, David, 2009. "Assessment of large transport infrastructure projects: The CBA-DK model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 800-813, November.
    14. Kingsley Adjenughwure & Basil Papadopoulos, 2019. "Towards a Fair and More Transparent Rule-Based Valuation of Travel Time Savings," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    15. Ojeda-Cabral, Manuel & Chorus, Caspar G., 2016. "Value of travel time changes: Theory and simulation to understand the connection between Random Valuation and Random Utility methods," Transport Policy, Elsevier, vol. 48(C), pages 139-145.
    16. Anderstig, Christer & Berglund, Svante & Eliasson, Jonas & Andersson, Matts & Pyddoke, Roger, 2012. "Congestion charges and labour market imperfections: “Wider economic benefits” or “losses”?," Working papers in Transport Economics 2012:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    17. Turró, Mateu & Penyalver, Domingo, 2019. "Hunting white elephants on the road. A practical procedure to detect harmful projects of transport infrastructure," Research in Transportation Economics, Elsevier, vol. 75(C), pages 3-20.
    18. Wiktor Budziński & Danny Campbell & Mikołaj Czajkowski & Urška Demšar & Nick Hanley, 2018. "Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 606-626, September.
    19. Jens West & Maria Börjesson, 2020. "The Gothenburg congestion charges: cost–benefit analysis and distribution effects," Transportation, Springer, vol. 47(1), pages 145-174, February.
    20. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    21. Correia, Anderson R. & Wirasinghe, S.C. & de Barros, Alexandre G., 2008. "Overall level of service measures for airport passenger terminals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 330-346, February.
    22. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    23. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    24. Mogens Fosgerau, 2024. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 308-318, Edward Elgar Publishing.
    25. Boris Goenaga & Victor Cantillo, 2020. "Willingness to pay for freight travel time savings: contrasting random utility versus random valuation," Transportation, Springer, vol. 47(2), pages 705-736, April.
    26. Kassie, Girma T. & Abdulai, Awudu & Greene, William H. & Shiferaw, Bekele & Abate, Tsedeke & Tarekegne, Amsal & Sutcliffe, Chloe, 2017. "Modeling Preference and Willingness to Pay for Drought Tolerance (DT) in Maize in Rural Zimbabwe," World Development, Elsevier, vol. 94(C), pages 465-477.
    27. Paul Koster & Hans Koster, 2013. "Commuters' Preferences for Fast and Reliable Travel," Tinbergen Institute Discussion Papers 13-075/VIII, Tinbergen Institute, revised 30 Apr 2015.
    28. William Greene & David Hensher, 2010. "Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models," Transportation, Springer, vol. 37(3), pages 413-428, May.
    29. Hong, Sung-Pil & Kim, Kyung min & Byeon, Geunyeong & Min, Yun-Hong, 2017. "A method to directly derive taste heterogeneity of travellers’ route choice in public transport from observed routes," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 41-52.
    30. De Borger, Bruno & Fosgerau, Mogens, 2008. "The trade-off between money and travel time: A test of the theory of reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 64(1), pages 101-115, July.
    31. Sung-Pil Hong & Kyung Min Kim & Suk-Joon Ko, 2021. "Estimating heterogeneous agent preferences by inverse optimization in a randomized nonatomic game," Annals of Operations Research, Springer, vol. 307(1), pages 207-228, December.
    32. Mouter, Niek & Annema, Jan Anne & van Wee, Bert, 2013. "Ranking the substantive problems in the Dutch Cost–Benefit Analysis practice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 241-255.
    33. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," MPRA Paper 67053, University Library of Munich, Germany.
    34. Hjorth, Katrine & Fosgerau, Mogens, 2012. "Using prospect theory to investigate the low marginal value of travel time for small time changes," MPRA Paper 42246, University Library of Munich, Germany.
    35. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
    36. Daisuke Fukuda & Tetsuo Yai, 2010. "Semiparametric specification of the utility function in a travel mode choice model," Transportation, Springer, vol. 37(2), pages 221-238, March.
    37. Obermeyer, Andy & Treiber, Martin & Evangelinos, Christos, 2015. "On the identification of thresholds in travel choice modelling," Journal of choice modelling, Elsevier, vol. 17(C), pages 1-9.
    38. Kassie, Girma Tesfahun & Abdulai, Awudu & MacRobert, John F. & Abate, Tsedeke & Shiferaw, Bekele & Tarekegne, Amsal & Maleni, Debrah, 2014. "Willingness to pay for Drought Tolerance (DT) in Maize in Communal Areas of Zimbabwe," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169747, Agricultural Economics Society.
    39. Lars Hultkrantz & Selen Savsin, 2018. "Is ‘referencing’ a remedy to hypothetical bias in value of time elicitation? Evidence from economic experiments," Transportation, Springer, vol. 45(6), pages 1827-1847, November.
    40. Katrine Hjorth & Mogens Fosgerau, 2011. "Loss Aversion and Individual Characteristics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 573-596, August.
    41. Hernández, José Ignacio & van Cranenburgh, Sander, 2023. "NP4VTT: A new software for estimating the value of travel time with nonparametric models," Journal of choice modelling, Elsevier, vol. 48(C).
    42. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    43. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.

  61. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," MPRA Paper 42276, University Library of Munich, Germany.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Abdullah, Sabah & Mariel, Petr, 2010. "Choice experiment study on the willingness to pay to improve electricity services," Energy Policy, Elsevier, vol. 38(8), pages 4570-4581, August.
    3. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    4. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    5. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "Catching the Tail: Empirical Identification of the Distribution of the Value of Travel Time," MPRA Paper 69099, University Library of Munich, Germany.
    6. Phillips, Yvonne & Scarpa, Riccardo, 2010. "Waikato warm home study," 2010 Conference, August 26-27, 2010, Nelson, New Zealand 96494, New Zealand Agricultural and Resource Economics Society.
    7. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    8. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    9. Fabian Bastin & Cinzia Cirillo & Philippe L. Toint, 2010. "Estimating Nonparametric Random Utility Models with an Application to the Value of Time in Heterogeneous Populations," Transportation Science, INFORMS, vol. 44(4), pages 537-549, November.
    10. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models," Journal of choice modelling, Elsevier, vol. 27(C), pages 97-113.
    11. Doherty, Edel & Campbell, Danny & Hynes, Stephen, 2012. "Exploring cost heterogeneity in recreational demand," Working Papers 148832, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    12. Mariel, Petr & Ayala, Amaya de & Hoyos, David & Abdullah, Sabah, 2013. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," Journal of choice modelling, Elsevier, vol. 7(C), pages 44-57.
    13. Ye, Xin & Garikapati, Venu M. & You, Daehyun & Pendyala, Ram M., 2017. "A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 173-192.
    14. Fosgerau, Mogens & Mabit, Stefan L., 2013. "Easy and flexible mixture distributions," Economics Letters, Elsevier, vol. 120(2), pages 206-210.
    15. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    16. CNATOS-SANCHEZ, Pedro & MONER-COLONQUES, Rafael & SEMPERE-MONERRIS, José J. & ALVAREZ-SANJAIME, Oscar, 2011. "Viability of new road infrastructure with heterogeneous users," LIDAM Reprints CORE 2429, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
    18. Bansal, Prateek & Daziano, Ricardo A. & Achtnicht, Martin, 2018. "Extending the logit-mixed logit model for a combination of random and fixed parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 88-96.
    19. Phillips, Yvonne, 2012. "Landlords versus tenants: Information asymmetry and mismatched preferences for home energy efficiency," Energy Policy, Elsevier, vol. 45(C), pages 112-121.
    20. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    21. Fosgerau, Mogens, 2007. "Using nonparametrics to specify a model to measure the value of travel time," MPRA Paper 12009, University Library of Munich, Germany.
    22. Fosgerau, Mogens & Hjort, Katrine & Vincent Lyk-Jensen, Stéphanie, 2007. "An approach to the estimation of the distribution of marginal valuations from discrete choice data," MPRA Paper 3907, University Library of Munich, Germany.
    23. Rouwendal, Jan & de Blaeij, Arianne & Rietveld, Piet & Verhoef, Erik, 2010. "The information content of a stated choice experiment: A new method and its application to the value of a statistical life," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 136-151, January.
    24. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "A Dirichlet Process Mixture Model of Discrete Choice," Papers 1801.06296, arXiv.org.
    25. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    26. Waleska Sigüernza & Petr Mariel, 2013. "Valoración económica de los servicios sanitarios en la Comunidad Autónoma del País Vasco," Hacienda Pública Española / Review of Public Economics, IEF, vol. 207(4), pages 71-99, December.
    27. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    28. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    29. Mogens Fosgerau, 2024. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 308-318, Edward Elgar Publishing.
    30. Alice M. Ellyson & Avanti Adhia & Emily Kroshus & Davene R. Wright, 2023. "Student-Athlete Preferences for Sexual Violence Reporting: A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 16(1), pages 77-88, January.
    31. West, Jens & Börjesson, Maria & Engelson, Leonid, 2016. "Accuracy of the Gothenburg congestion charges forecast," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 266-277.
    32. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
    33. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    34. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    35. Hong, Sung-Pil & Kim, Kyung min & Byeon, Geunyeong & Min, Yun-Hong, 2017. "A method to directly derive taste heterogeneity of travellers’ route choice in public transport from observed routes," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 41-52.
    36. Mikołaj Czajkowski & Wiktor Budziński, 2017. "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers 2017-18, Faculty of Economic Sciences, University of Warsaw.
    37. Bergantino, Angela S. & Bierlaire, Michel & Catalano, Mario & Migliore, Marco & Amoroso, Salvatore, 2013. "Taste heterogeneity and latent preferences in the choice behaviour of freight transport operators," Transport Policy, Elsevier, vol. 30(C), pages 77-91.
    38. De Borger, Bruno & Fosgerau, Mogens, 2008. "The trade-off between money and travel time: A test of the theory of reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 64(1), pages 101-115, July.
    39. Hoyos, David & Mariel, Petr & Pascual, Unai & Etxano, Iker, 2012. "Valuing a Natura 2000 network site to inform land use options using a discrete choice experiment: An illustration from the Basque Country," Journal of Forest Economics, Elsevier, vol. 18(4), pages 329-344.
    40. Tabasi, Maliheh & Rose, John M. & Pellegrini, Andrea & Hossein Rashidi, Taha, 2024. "An empirical investigation of the distribution of travellers’ willingness-to-pay: A comparison between a parametric and nonparametric approach," Transport Policy, Elsevier, vol. 146(C), pages 312-321.
    41. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    42. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.
    43. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," MPRA Paper 67053, University Library of Munich, Germany.
    44. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    45. Beeramoole, Prithvi Bhat & Arteaga, Cristian & Pinz, Alban & Haque, Md Mazharul & Paz, Alexander, 2023. "Extensive hypothesis testing for estimation of mixed-Logit models," Journal of choice modelling, Elsevier, vol. 47(C).
    46. Jesús Clemente López & Pedro García Castrillo & María A. González Alvarez & Marcos Sanso Frago, 2014. "Una evaluación de la efectividad de la formación ocupacional para desempleados antes y después de la crisis económica: el caso de Aragón," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 77-106, March.
    47. Hoyos, David & Mariel, Petr & Fernández-Macho, Javier, 2009. "The influence of cultural identity on the WTP to protect natural resources: Some empirical evidence," Ecological Economics, Elsevier, vol. 68(8-9), pages 2372-2381, June.
    48. Daziano, Ricardo A., 2020. "Flexible customer willingness to pay for bundled smart home energy products and services," Resource and Energy Economics, Elsevier, vol. 61(C).
    49. Daisuke Fukuda & Tetsuo Yai, 2010. "Semiparametric specification of the utility function in a travel mode choice model," Transportation, Springer, vol. 37(2), pages 221-238, March.
    50. Edel Doherty & Danny Campbell & Stephen Hynes, 2013. "Models of Site-choice for Walks in Rural Ireland: Exploring Cost Heterogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 446-466, June.
    51. Ricardo Scarpa & Mara Thiene & Francesco Marangon, 2007. "Using flexible taste distributions to value collective reputation for environmentally-friendly production methods," Working Papers in Economics 07/24, University of Waikato.
    52. West , Jens & Börjesson , Maria & Engelson , Leonid, 2016. "Forecasting effects of congestion charges," Working papers in Transport Economics 2016:9, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    53. Vedel, Suzanne Elizabeth & Jacobsen, Jette Bredahl & Thorsen, Bo Jellesmark, 2015. "Forest owners' willingness to accept contracts for ecosystem service provision is sensitive to additionality," Ecological Economics, Elsevier, vol. 113(C), pages 15-24.
    54. Lu, Zhentong & Shi, Xiaoxia & Tao, Jing, 2023. "Semi-nonparametric estimation of random coefficients logit model for aggregate demand," Journal of Econometrics, Elsevier, vol. 235(2), pages 2245-2265.
    55. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    56. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
    57. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    58. Román, Concepción & Martín, Juan Carlos & Espino, Raquel & Cherchi, Elisabetta & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & González, Rosa Marina & Amador, Francisco Javier, 2014. "Valuation of travel time savings for intercity travel: The Madrid-Barcelona corridor," Transport Policy, Elsevier, vol. 36(C), pages 105-117.
    59. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    60. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.
    61. Li, Baibing, 2011. "The multinomial logit model revisited: A semi-parametric approach in discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 461-473, March.
    62. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    63. Rossolov, Oleksandr & Susilo, Yusak O., 2024. "Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    64. Feo-Valero, María & Arencibia, Ana Isabel & Román, Concepción, 2016. "Analyzing discrepancies between willingness to pay and willingness to accept for freight transport attributes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 151-164.
    65. S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021. "Choice modelling in the age of machine learning -- discussion paper," Papers 2101.11948, arXiv.org, revised Nov 2021.
    66. Fosgerau, Mogens & Hess, Stephane, 2008. "Competing methods for representing random taste heterogeneity in discrete choice models," MPRA Paper 10038, University Library of Munich, Germany.
    67. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.
    68. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.
    69. Balogh, Péter & Török, Áron & Czine, Péter & Horváth, Péter, 2020. "A fogyasztói magatartás elemzése feltételes választási modellekkel - a mangalicakolbász példáján [Analysing consumer behaviour with conditional choice models, with Mangalica sausage as an example]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 474-494.

  62. DE BORGER, Bruno & FOSGERAU, Mogens, 2006. "Discrete choices and the trade off between money and time: Another test of the theory of reference-dependent preferences," Working Papers 2006034, University of Antwerp, Faculty of Business and Economics.

    Cited by:

    1. Farideh Ramjerdi & Johanna Lindqvist Dillén, 2007. "Gap between Willingness‐to‐Pay (WTP) and Willingness‐to‐Accept (WTA) Measures of Value of Travel Time: Evidence from Norway and Sweden," Transport Reviews, Taylor & Francis Journals, vol. 27(5), pages 637-651, February.

  63. Mogens Fosgerau, 2005. "Specification Of A Model To Measure - The Value Of Travel Time Savings From Binomial Data," ERSA conference papers ersa05p77, European Regional Science Association.

    Cited by:

    1. De Borger, Bruno & Fosgerau, Mogens, 2007. "Discrete choices and the trade-off between money and time: A test of the theory of reference-dependent preferences," MPRA Paper 3904, University Library of Munich, Germany.
    2. DE BORGER, Bruno & FOSGERAU, Mogens, 2006. "Discrete choices and the trade off between money and time: Another test of the theory of reference-dependent preferences," Working Papers 2006034, University of Antwerp, Faculty of Business and Economics.

  64. Fosgerau, Mogens, 2005. "Speed and income," MPRA Paper 12564, University Library of Munich, Germany.

    Cited by:

    1. Sylvain Weber, 2016. "Consumers' preferences on the Swiss car market: A revealed preference approach," IRENE Working Papers 16-12, IRENE Institute of Economic Research.
    2. Muhammad Sabir & Jos Ommeren & Mark Koetse & Piet Rietveld, 2011. "Adverse Weather and Commuting Speed," Networks and Spatial Economics, Springer, vol. 11(4), pages 701-712, December.
    3. Etye Steinberg, 2022. "Run for Your Life: The Ethics of Behavioral Tracking in Insurance," Journal of Business Ethics, Springer, vol. 179(3), pages 665-682, September.
    4. Muhammad Sabir & Mark Koetse & Jos Van Ommeren & Piet Rietveld, 2010. "Weather and Travel Time of Public Transport Trips," Tinbergen Institute Discussion Papers 10-029/3, Tinbergen Institute.
    5. Bonilla, David, 2009. "Fuel demand on UK roads and dieselisation of fuel economy," Energy Policy, Elsevier, vol. 37(10), pages 3769-3778, October.
    6. Muhammad Sabir & Jos van Ommeren & Mark Koetse & Piet Rietveld, 2008. "Welfare Effects of Adverse Weather through Speed Changes in Car Commuting Trips," Tinbergen Institute Discussion Papers 08-087/3, Tinbergen Institute.
    7. McQuaid, Ronald W., 2009. "A model of the travel to work limits of parents," Research in Transportation Economics, Elsevier, vol. 25(1), pages 19-28.
    8. Borger, Bruno De, 2011. "Optimal congestion taxes in a time allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 79-95, January.
    9. Elvik, Rune, 2006. "Are individual preferences always a legitimate basis for evaluating the costs and benefits of public policy?: The case of road traffic law enforcement," Transport Policy, Elsevier, vol. 13(5), pages 379-385, September.
    10. Tscharaktschiew, Stefan, 2020. "Why are highway speed limits really justified? An equilibrium speed choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 317-351.
    11. Klingen, Joris & van Ommeren, Jos, 2020. "Urban air pollution and time losses: Evidence from cyclists in London," Regional Science and Urban Economics, Elsevier, vol. 81(C).

  65. Mogens Fosgerau, 2005. "Unit income elasticity of the value of travel time savings," Urban/Regional 0508007, University Library of Munich, Germany.

    Cited by:

    1. Mogens Fosgerau & Michel Bierlaire, 2005. "A practical test for the choice of mixing distribution in a discrete choice model," Econometrics 0512002, University Library of Munich, Germany.
    2. Wadud, Zia, 2017. "Fully automated vehicles: A cost of ownership analysis to inform early adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 163-176.
    3. Yu, De-Ping & Li, Zhi-Chun, 2023. "Income distribution, implementation sequence, and equity in auto ownership rationing," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 59-89.
    4. Mogens Fosgerau, 2004. "Investigating the distribution of the value of travel time savings," Urban/Regional 0411006, University Library of Munich, Germany.
    5. Börjesson, Maria & Eliasson, Jonas, 2017. "Should values of time be differentiated?," Working papers in Transport Economics 2017:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    6. Liu, Wen-Jing & Li, Zhi-Chun & Yang, Hai, 2024. "Gasoline and electric vehicle ownership rationing over time: Lottery vs. First-come-first-served schemes," Transportation Research Part B: Methodological, Elsevier, vol. 186(C).
    7. Rich, Jeppe & Vandet, Christian Anker, 2019. "Is the value of travel time savings increasing? Analysis throughout a financial crisis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 145-168.
    8. Steven M. Ramsey & Jason S. Bergtold, 2021. "Examining Inferences from Neural Network Estimators of Binary Choice Processes: Marginal Effects, and Willingness-to-Pay," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1137-1165, December.
    9. Richard Batley, 2018. "Income effects, cost damping and the value of time: theoretical properties embedded within practical travel choice models," Transportation, Springer, vol. 45(2), pages 623-640, March.
    10. Kifle Wondemu, 2016. "The Economic Value of Time: Evidence from Africa," South African Journal of Economics, Economic Society of South Africa, vol. 84(2), pages 230-244, June.
    11. Puga, Diego & Duranton, Gilles, 2019. "Urban growth and its aggregate implications," CEPR Discussion Papers 14215, C.E.P.R. Discussion Papers.
    12. Fosgerau, Mogens, 2007. "Using nonparametrics to specify a model to measure the value of travel time," MPRA Paper 12009, University Library of Munich, Germany.
    13. Poudel, Niranjan & Singleton, Patrick A., 2024. "Willingness to pay for changes in travel time and work time: A stated choice experiment of US commuters," Research in Transportation Economics, Elsevier, vol. 103(C).
    14. Swärdh, Jan-Erik, 2008. "Is the intertemporal income elasticity of the value of travel time unity?," Working Papers 2008:3, Swedish National Road & Transport Research Institute (VTI).
    15. Maria Börjesson & Marco Kouwenhoven & Gerard Jong & Andrew Daly, 2023. "Can repeated surveys reveal the variation of the value of travel time over time?," Transportation, Springer, vol. 50(1), pages 245-284, February.
    16. Li, Zhi-Chun & Wu, Qiao-Yu & Yang, Hai, 2019. "A theory of auto ownership rationing," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 125-146.
    17. Jawaher Binsuwadan & Gerard De Jong & Richard Batley & Phill Wheat, 2022. "The value of travel time savings in freight transport: a meta-analysis," Transportation, Springer, vol. 49(4), pages 1183-1209, August.
    18. Deakin, Elizabeth & Dock, Fred & Garry, Gordon & Handy, Susan & McNally, Michael & Sall, Elizabeth & Skabardonis, Alex & Walker, Joan & Rheinhardt, Karl, 2020. "Calculating and Forecasting Induced Vehicle-Miles of Travel Resulting from Highway Projects: Findings and Recommendations from an Expert Panel," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt15d2t2gf, Institute of Transportation Studies, UC Berkeley.
    19. Tjiong, Jeff & Dekker, Thijs & Hess, Stephane & Ojeda Cabral, Manuel, 2022. "The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal," Research in Transportation Economics, Elsevier, vol. 94(C).
    20. Binsuwadan, Jawaher & Wardman, Mark & de Jong, Gerard & Batley, Richard & Wheat, Phill, 2023. "The income elasticity of the value of travel time savings: A meta-analysis," Transport Policy, Elsevier, vol. 136(C), pages 126-136.
    21. Daisuke Fukuda & Tetsuo Yai, 2010. "Semiparametric specification of the utility function in a travel mode choice model," Transportation, Springer, vol. 37(2), pages 221-238, March.
    22. Axhausen, Kay, 2008. "Accessibility: Long Term Perspectives," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 5-22.
    23. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.
    24. Savage, Ian, 2010. "The dynamics of fare and frequency choice in urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 815-829, December.

  66. Mogens Fosgerau, 2004. "Investigating the distribution of the value of travel time savings," Urban/Regional 0410005, University Library of Munich, Germany, revised 25 Nov 2004.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Kalouptsidis, N. & Psaraki, V., 2010. "Approximations of choice probabilities in mixed logit models," European Journal of Operational Research, Elsevier, vol. 200(2), pages 529-535, January.
    3. Chang, Zheng, 2017. "Non-local Students, Housing Demand and Rental Impact: Evidence from Mainland Students in Hong Kong," International Real Estate Review, Global Social Science Institute, vol. 20(4), pages 525-548.
    4. Kouwenhoven, Marco & de Jong, Gerard C. & Koster, Paul & van den Berg, Vincent A.C. & Verhoef, Erik T. & Bates, John & Warffemius, Pim M.J., 2014. "New values of time and reliability in passenger transport in The Netherlands," Research in Transportation Economics, Elsevier, vol. 47(C), pages 37-49.
    5. Mogens Fosgerau & Michel Bierlaire, 2005. "A practical test for the choice of mixing distribution in a discrete choice model," Econometrics 0512002, University Library of Munich, Germany.
    6. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    7. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    8. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    9. Dorte Gyrd‐Hansen & Trine Kjær, 2012. "Disentangling WTP per QALY data: different analytical approaches, different answers," Health Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 222-237, March.
    10. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "Catching the Tail: Empirical Identification of the Distribution of the Value of Travel Time," MPRA Paper 69099, University Library of Munich, Germany.
    11. Stephane Hess & Amanda Stathopoulos & Andrew Daly, 2012. "Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies," Transportation, Springer, vol. 39(3), pages 565-591, May.
    12. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    13. Xuemei Fu, 2021. "How habit moderates the commute mode decision process: integration of the theory of planned behavior and latent class choice model," Transportation, Springer, vol. 48(5), pages 2681-2707, October.
    14. Mikołaj Czajkowski & Marek Giergiczny & William H. Greene, 2012. "Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments," Working Papers 2012-08, Faculty of Economic Sciences, University of Warsaw.
    15. Mogens Fosgerau, 2005. "Unit income elasticity of the value of travel time savings," Urban/Regional 0508007, University Library of Munich, Germany.
    16. Mogens Fosgerau & Dennis Kristensen, 2021. "Identification of a class of index models: A topological approach," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 121-133.
    17. Xingyuan Li & Jing Bai, 2021. "A Ridesharing Choice Behavioral Equilibrium Model with Users of Heterogeneous Values of Time," IJERPH, MDPI, vol. 18(3), pages 1-22, January.
    18. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    19. Sandberg Hanssen, Thor-Erik & Larsen, Berner, 2020. "The influence of waiting time on the value of headway time on a ferry service in Norway," Research in Transportation Economics, Elsevier, vol. 82(C).
    20. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.
    21. Czajkowski, Mikołaj & Hanley, Nick & LaRiviere, Jacob, 2013. "The Effects of Experience on Preference Uncertainty: Theory and Empirics for Public and Quasi-Public Environmental Goods," SIRE Discussion Papers 2013-125, Scottish Institute for Research in Economics (SIRE).
    22. Oyama, Yuki & Fukuda, Daisuke & Imura, Naoto & Nishinari, Katsuhiro, 2024. "Do people really want fast and precisely scheduled delivery? E-commerce customers' valuations of home delivery timing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    23. Fabian Bastin & Cinzia Cirillo & Philippe L. Toint, 2010. "Estimating Nonparametric Random Utility Models with an Application to the Value of Time in Heterogeneous Populations," Transportation Science, INFORMS, vol. 44(4), pages 537-549, November.
    24. Börjesson, Maria & Eliasson, Jonas, 2017. "Should values of time be differentiated?," Working papers in Transport Economics 2017:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    25. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    26. Börjesson, Maria & Eliasson, Jonas, 2012. "The value of time and external benefits in bicycle appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 673-683.
    27. Fosgerau, Mogens & Mabit, Stefan L., 2013. "Easy and flexible mixture distributions," Economics Letters, Elsevier, vol. 120(2), pages 206-210.
    28. Fosgerau, Mogens & Bierlaire, Michel, 2007. "Circumventing the problem of the scale: discrete choice models with multiplicative error terms," MPRA Paper 3901, University Library of Munich, Germany.
    29. Steven M. Ramsey & Jason S. Bergtold, 2021. "Examining Inferences from Neural Network Estimators of Binary Choice Processes: Marginal Effects, and Willingness-to-Pay," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1137-1165, December.
    30. Mikolaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2014. "The Effects of Experience on Preferences: Theory and Empirics for Environmental Public Goods," Discussion Papers in Environment and Development Economics 2014-05, University of St. Andrews, School of Geography and Sustainable Development.
    31. De Borger, Bruno & Fosgerau, Mogens, 2007. "Discrete choices and the trade-off between money and time: A test of the theory of reference-dependent preferences," MPRA Paper 3904, University Library of Munich, Germany.
    32. Paul Koster & Eric Kroes & Erik T. Verhoef, 2010. "Travel Time Variability and Airport Accessibility," Tinbergen Institute Discussion Papers 10-061/3, Tinbergen Institute.
    33. Kingsley Adjenughwure & Basil Papadopoulos, 2019. "Towards a Fair and More Transparent Rule-Based Valuation of Travel Time Savings," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    34. CNATOS-SANCHEZ, Pedro & MONER-COLONQUES, Rafael & SEMPERE-MONERRIS, José J. & ALVAREZ-SANJAIME, Oscar, 2011. "Viability of new road infrastructure with heterogeneous users," LIDAM Reprints CORE 2429, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    35. Chikaraishi, Makoto & Nakayama, Shoichiro, 2016. "Discrete choice models with q-product random utilities," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 576-595.
    36. Eivind Tveter, 2023. "The value of travel time: a revealed preferences approach using exogenous variation in travel costs and automatic traffic count data," Transportation, Springer, vol. 50(6), pages 2273-2297, December.
    37. Siliang Luan & Qingfang Yang & Zhongtai Jiang & Huxing Zhou & Fanyun Meng, 2022. "Analyzing Commute Mode Choice Using the LCNL Model in the Post-COVID-19 Era: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
    38. Ortega, Alejandro & Vassallo, José Manuel & Pérez, Juan Ignacio, 2021. "Modelling some equality and social welfare impacts of road tolling under conditions of traffic uncertainty," Research in Transportation Economics, Elsevier, vol. 88(C).
    39. Hancock, Thomas O. & Hess, Stephane & Marley, A.A.J. & Choudhury, Charisma F., 2021. "An accumulation of preference: Two alternative dynamic models for understanding transport choices," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 250-282.
    40. Maria Börjesson, 2014. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Transportation, Springer, vol. 41(2), pages 377-396, March.
    41. Anderstig, Christer & Berglund, Svante & Eliasson, Jonas & Andersson, Matts & Pyddoke, Roger, 2012. "Congestion charges and labour market imperfections: “Wider economic benefits” or “losses”?," Working papers in Transport Economics 2012:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    42. Fosgerau, Mogens, 2007. "Using nonparametrics to specify a model to measure the value of travel time," MPRA Paper 12009, University Library of Munich, Germany.
    43. Fosgerau, Mogens & Hjort, Katrine & Vincent Lyk-Jensen, Stéphanie, 2007. "An approach to the estimation of the distribution of marginal valuations from discrete choice data," MPRA Paper 3907, University Library of Munich, Germany.
    44. Thor-Erik Hanssen, 2012. "The influence of interview location on the value of travel time savings," Transportation, Springer, vol. 39(6), pages 1133-1145, November.
    45. Mikołaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2012. "The Effects of Experience on Preference Uncertainty: Theory and Empirics for Public and Quasi-Public Goods," Working Papers 2012-15, Faculty of Economic Sciences, University of Warsaw.
    46. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    47. Fosgerau, Mogens & Frejinger, Emma & Karlström, Anders, 2013. "A link based network route choice model with unrestricted choice set," Working papers in Transport Economics 2013:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    48. Poudel, Niranjan & Singleton, Patrick A., 2024. "Willingness to pay for changes in travel time and work time: A stated choice experiment of US commuters," Research in Transportation Economics, Elsevier, vol. 103(C).
    49. Börjesson, Maria, 2012. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Working papers in Transport Economics 2012:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    50. Laura Eboli & Gabriella Mazzulla, 2014. "Investigating the heterogeneity of bus users' preferences through discrete choice modelling," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(8), pages 695-710, December.
    51. Guillaume Monchambert, 2020. "Why do (or don't) people carpool for long distance trips? A discrete choice experiment in France," Post-Print hal-02121589, HAL.
    52. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    53. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    54. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    55. Mogens Fosgerau, 2024. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 308-318, Edward Elgar Publishing.
    56. Swärdh, Jan-Erik, 2008. "Is the intertemporal income elasticity of the value of travel time unity?," Working Papers 2008:3, Swedish National Road & Transport Research Institute (VTI).
    57. Yuki Oyama & Daisuke Fukuda & Naoto Imura & Katsuhiro Nishinari, 2022. "E-commerce users' preferences for delivery options," Papers 2301.00666, arXiv.org, revised Aug 2023.
    58. Japelj, Anže & Mavsar, Robert & Hodges, Donald & Kovač, Marko & Juvančič, Luka, 2016. "Latent preferences of residents regarding an urban forest recreation setting in Ljubljana, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 71-79.
    59. Shires, J.D. & de Jong, G.C., 2009. "An international meta-analysis of values of travel time savings," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 315-325, November.
    60. Hess, Stephane & Hensher, David A. & Daly, Andrew, 2012. "Not bored yet – Revisiting respondent fatigue in stated choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 626-644.
    61. William Greene & David Hensher, 2010. "Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models," Transportation, Springer, vol. 37(3), pages 413-428, May.
    62. de Lapparent, M., & Axhausen , K.W. & Frei, A., 2013. "Long distance mode choice and distributions of values of travel time savings in three European countries," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-7.
    63. Fosgerau, Mogens & Nielsen, Søren Feodor, 2007. "Deconvoluting preferences and errors: a model for binomial panel data," MPRA Paper 3950, University Library of Munich, Germany.
    64. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    65. Hong, Sung-Pil & Kim, Kyung min & Byeon, Geunyeong & Min, Yun-Hong, 2017. "A method to directly derive taste heterogeneity of travellers’ route choice in public transport from observed routes," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 41-52.
    66. DE BORGER, Bruno & FOSGERAU, Mogens, 2006. "Discrete choices and the trade off between money and time: Another test of the theory of reference-dependent preferences," Working Papers 2006034, University of Antwerp, Faculty of Business and Economics.
    67. De Borger, Bruno & Fosgerau, Mogens, 2008. "The trade-off between money and travel time: A test of the theory of reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 64(1), pages 101-115, July.
    68. Tabasi, Maliheh & Rose, John M. & Pellegrini, Andrea & Hossein Rashidi, Taha, 2024. "An empirical investigation of the distribution of travellers’ willingness-to-pay: A comparison between a parametric and nonparametric approach," Transport Policy, Elsevier, vol. 146(C), pages 312-321.
    69. Mouter, Niek & van Cranenburgh, Sander & van Wee, Bert, 2017. "Do individuals have different preferences as consumer and citizen? The trade-off between travel time and safety," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 333-349.
    70. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
    71. André de Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.
    72. Knudsen, M.Aa. & Rich, J., 2013. "Ex post socio-economic assessment of the Oresund Bridge," Transport Policy, Elsevier, vol. 27(C), pages 53-65.
    73. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," MPRA Paper 67053, University Library of Munich, Germany.
    74. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    75. Credit, Kevin & O'Driscoll, Conor, 2024. "Assessing modal tradeoffs and associated built environment characteristics using a cost-distance framework," Journal of Transport Geography, Elsevier, vol. 117(C).
    76. van Ommeren, Jos & Fosgerau, Mogens, 2008. "Workers' marginal costs of commuting," MPRA Paper 12010, University Library of Munich, Germany.
    77. Hess, S. & Bierlaire, Michel & Polak, J.W., 2007. "A systematic comparison of continuous and discrete mixture models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 35-61.
    78. Daisuke Fukuda & Tetsuo Yai, 2010. "Semiparametric specification of the utility function in a travel mode choice model," Transportation, Springer, vol. 37(2), pages 221-238, March.
    79. Ngan Ha Duong & Tien Thanh Dam & Thuy Anh Ta & Tien Mai, 2022. "Joint Location and Cost Planning in Maximum Capture Facility Location under Multiplicative Random Utility Maximization," Papers 2205.07345, arXiv.org, revised Feb 2023.
    80. Czajkowski, Mikołaj & Hanley, Nick & LaRiviere, Jacob, 2013. "The effects of experience on preference uncertainty: theory and empirics for environmental goods," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152155, Australian Agricultural and Resource Economics Society.
    81. Vinayak V Dixit & Laurent Denant-Boemont, 2014. "Is Equilibrium in Transport Pure Nash, Mixed or Stochastic? Evidence from Laboratory Experiments," Post-Print halshs-01103472, HAL.
    82. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    83. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    84. Román, Concepción & Martín, Juan Carlos & Espino, Raquel & Cherchi, Elisabetta & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & González, Rosa Marina & Amador, Francisco Javier, 2014. "Valuation of travel time savings for intercity travel: The Madrid-Barcelona corridor," Transport Policy, Elsevier, vol. 36(C), pages 105-117.
    85. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.
    86. Mikolaj Czajkowski & Marek Giergiczny & William H. Greene, 2014. "Learning and Fatigue Effects Revisited: Investigating the Effects of Accounting for Unobservable Preference and Scale Heterogeneity," Land Economics, University of Wisconsin Press, vol. 90(2), pages 324-351.
    87. David Hensher, 2006. "The Signs of the Times: Imposing a Globally Signed Condition on Willingness to Pay Distributions," Transportation, Springer, vol. 33(3), pages 205-222, May.
    88. Li, Baibing, 2011. "The multinomial logit model revisited: A semi-parametric approach in discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 461-473, March.
    89. Hernández, José Ignacio & van Cranenburgh, Sander, 2023. "NP4VTT: A new software for estimating the value of travel time with nonparametric models," Journal of choice modelling, Elsevier, vol. 48(C).
    90. Feo-Valero, María & Arencibia, Ana Isabel & Román, Concepción, 2016. "Analyzing discrepancies between willingness to pay and willingness to accept for freight transport attributes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 151-164.
    91. Fosgerau, Mogens & Hess, Stephane, 2008. "Competing methods for representing random taste heterogeneity in discrete choice models," MPRA Paper 10038, University Library of Munich, Germany.
    92. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.
    93. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.
    94. Fernández-Antolín, Anna & Guevara, C. Angelo & de Lapparent, Matthieu & Bierlaire, Michel, 2016. "Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data," Journal of choice modelling, Elsevier, vol. 20(C), pages 1-15.

  67. Bennedsen, Morten & Fosgerau, Mogens & Wolfenzon, Daniel, 2000. "Control Dilution And Distribution Of Ownership," Working Papers 16-2000, Copenhagen Business School, Department of Economics.

    Cited by:

    1. Mueller, Elisabeth & Spitz, Alexandra, 2002. "Managerial ownership and firm performance in German small and medium-sized enterprises," LSE Research Online Documents on Economics 20083, London School of Economics and Political Science, LSE Library.
    2. Mueller Elisabeth & Spitz-Oener Alexandra, 2006. "Managerial Ownership and Company Performance in German Small and Medium- Sized Private Enterprises," German Economic Review, De Gruyter, vol. 7(2), pages 233-247, May.

Articles

  1. Mogens Fosgerau & Julien Monardo & André de Palma, 2024. "The Inverse Product Differentiation Logit Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 329-370, November.
    See citations under working paper version above.
  2. Sørensen, Jesper R.-V. & Fosgerau, Mogens, 2022. "How McFadden met Rockafellar and learned to do more with less," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    See citations under working paper version above.
  3. Fosgerau, Mogens & Melo, Emerson & Shum, Matthew & Sørensen, Jesper R.-V., 2021. "Some remarks on CCP-based estimators of dynamic models," Economics Letters, Elsevier, vol. 204(C).
    See citations under working paper version above.
  4. Mogens Fosgerau & Dennis Kristensen, 2021. "Identification of a class of index models: A topological approach," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 121-133.
    See citations under working paper version above.
  5. Mogens Fosgerau & Emerson Melo & André de Palma & Matthew Shum, 2020. "Discrete Choice And Rational Inattention: A General Equivalence Result," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1569-1589, November.
    See citations under working paper version above.
  6. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.

    Cited by:

    1. Zang, Zhaoqi & Batley, Richard & Xu, Xiangdong & Wang, David Z.W., 2024. "On the value of distribution tail in the valuation of travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
    2. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    3. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2020. "Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    4. Zhaoqi Zang & Richard Batley & Xiangdong Xu & David Z. W. Wang, 2022. "On the value of distribution tail in the valuation of travel time variability," Papers 2207.06293, arXiv.org, revised Dec 2023.
    5. Khademi, Navid & Kharrazi, Hamed & Chen, Anthony & Chaiyasarn, Krisada & Zerguini, Seghir, 2024. "Departure time choices and a modeling framework for a guidance system," Journal of choice modelling, Elsevier, vol. 51(C).
    6. Yu, Xiaojuan & van den Berg, Vincent A.C. & Li, Zhi-Chun, 2023. "Congestion pricing and information provision under uncertainty: Responsive versus habitual pricing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    7. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    8. Han, Xiao & Yu, Yun & Gao, Zi-You & Zhang, H. Michael, 2021. "The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 205-226.
    9. Zhang, Yuhan & Shao, Yichang & Bi, Hui & Aoyong, Li & Ye, Zhirui, 2023. "Bike-sharing systems rebalancing considering redistribution proportions: A user-based repositioning approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).

  7. Jiang, Gege & Fosgerau, Mogens & Lo, Hong K., 2020. "Route choice, travel time variability, and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 188-207.
    See citations under working paper version above.
  8. Fosgerau, Mogens & Kim, Jinwon, 2019. "Commuting and land use in a city with bottlenecks: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 182-204.

    Cited by:

    1. Seidel, Tobias & Wickerath, Jan, 2020. "Rush hours and urbanization," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    2. Tong, Zhaomin & Zhang, Ziyi & An, Rui & Liu, Yaolin & Chen, Huiting & Xu, Jiwei & Fu, Shihang, 2024. "Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities," Journal of Transport Geography, Elsevier, vol. 116(C).
    3. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    4. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    5. André de Palma & Zhi-Chun Li & De-Ping Yu, 2023. "An analytical model for residential location choices of heterogeneous households in a monocentric city with stochastic bottleneck congestion," THEMA Working Papers 2023-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    7. Takayama, Yuki, 2020. "Who gains and who loses from congestion pricing in a monocentric city with a bottleneck?," Economics of Transportation, Elsevier, vol. 24(C).
    8. Zhi-Chun Li & De-Ping Yu & André de Palma, 2024. "Bottleneck congestion and urban spatial structure with heterogeneous households: Equilibrium, capacity expansion and congestion tolling," THEMA Working Papers 2024-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).

  9. Eliasson, Jonas & Fosgerau, Mogens, 2019. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," Economics of Transportation, Elsevier, vol. 18(C), pages 1-9.
    See citations under working paper version above.
  10. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
    See citations under working paper version above.
  11. Fosgerau, Mogens & Lindberg, Per Olov & Mattsson, Lars-Göran & Weibull, Jörgen, 2018. "A note on the invariance of the distribution of the maximum," Journal of Mathematical Economics, Elsevier, vol. 74(C), pages 56-61.

    Cited by:

    1. Mogens Fosgerau & Emerson Melo & Matthew Shum & Jesper R.-V. Sørensen, 2021. "Some Remarks on CCP-based Estimators of Dynamic Models," Discussion Papers 21-03, University of Copenhagen. Department of Economics.

  12. Fosgerau, Mogens & Kim, Jinwon & Ranjan, Abhishek, 2018. "Vickrey meets Alonso: Commute scheduling and congestion in a monocentric city," Journal of Urban Economics, Elsevier, vol. 105(C), pages 40-53.

    Cited by:

    1. Konagane, Joji & Kono, Tatsuhito, 2021. "Heterogeneous Households’ Choices of Departure Time and Residential Location in a Multiple-origin Single-destination Rail System: Market Equilibrium and the First-best Solution," MPRA Paper 108507, University Library of Munich, Germany.
    2. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    3. Chen, Enming & Zhou, Zhongbao & Li, Ruiyang & Chang, Zhongxiang & Shi, Jianmai, 2024. "The multi-fleet delivery problem combined with trucks, tricycles, and drones for last-mile logistics efficiency requirements under multiple budget constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    4. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    5. Dantsuji, Takao & Takayama, Yuki & Fukuda, Daisuke, 2023. "Perimeter control in a mixed bimodal bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 267-291.
    6. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    7. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    8. Liu, Peng & Xu, Shu-Xian & Ong, Ghim Ping & Tian, Qiong & Ma, Shoufeng, 2021. "Effect of autonomous vehicles on travel and urban characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 128-148.
    9. Fosgerau, Mogens & Kim, Jinwon, 2019. "Commuting and land use in a city with bottlenecks: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 182-204.
    10. Miaoxi Zhao & Yuexi Yao & Galuh Syahbana Indraprahasta, 2023. "Reflection on Guangzhou’s Strategic Spatial Planning: Current Status, Conflicts, and Dilemmas," Land, MDPI, vol. 12(11), pages 1-21, October.
    11. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.
    12. Yilin Bi & Jiangwei Liu & Zhuang Liu & Suhao Wei, 2024. "Impact of New Energy Vehicle Charging Point Subsidy Policy on Subway Demand: Evidence from Beijing’s Real Estate Market," Sustainability, MDPI, vol. 16(9), pages 1-18, May.
    13. André de Palma & Zhi-Chun Li & De-Ping Yu, 2023. "An analytical model for residential location choices of heterogeneous households in a monocentric city with stochastic bottleneck congestion," THEMA Working Papers 2023-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    14. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    15. Takayama, Yuki, 2020. "Who gains and who loses from congestion pricing in a monocentric city with a bottleneck?," Economics of Transportation, Elsevier, vol. 24(C).
    16. Zhi-Chun Li & De-Ping Yu & André de Palma, 2024. "Bottleneck congestion and urban spatial structure with heterogeneous households: Equilibrium, capacity expansion and congestion tolling," THEMA Working Papers 2024-04, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  13. Camilla Hvidtfeldt & Marie Louise Schultz-Nielsen & Erdal Tekin & Mogens Fosgerau, 2018. "An estimate of the effect of waiting time in the Danish asylum system on post-resettlement employment among refugees: Separating the pure delay effect from the effects of the conditions under which re," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-14, November.

    Cited by:

    1. Matz Dahlberg & Johan Egebark & Gulay Ozcan & Ulrika Vikman, 2022. "Labor Market Integration of Refugees: RCT Evidence from an Early Intervention Program in Sweden," Papers 2203.00487, arXiv.org, revised Nov 2023.
    2. Fasani, Francesco & Frattini, Tommaso & Pirot, Maxime, 2023. "From Refugees to Citizens: Labor Market Returns to Naturalization," CEPR Discussion Papers 18675, C.E.P.R. Discussion Papers.
    3. Jacob Nielsen Arendt & Iben Bolvig & Mette Foged & Linea Hasager & Giovanni Peri, 2020. "Language Training and Refugees' Integration," NBER Working Papers 26834, National Bureau of Economic Research, Inc.
    4. Stefan Jestl & Michael Landesmann & Sebastian Leitner & Barbara Wanek-Zajic, 2022. "Trajectories of Employment Gaps of Refugees and Other Migrants: Evidence from Austria," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(2), pages 609-669, April.
    5. Courtney Brell & Christian Dustmann & Ian Preston, 2020. "The Labor Market Integration of Refugee Migrants in High-Income Countries," RF Berlin - CReAM Discussion Paper Series 2001, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    6. Roxy Elisabeth Christina Damen & Jaco Dagevos & Willem Huijnk, 2022. "Refugee Reception Re-examined: a Quantitative Study on the Impact of the Reception Period for Mental Health and Host Country Language Proficiency Among Syrian Refugees in the Netherlands," Journal of International Migration and Integration, Springer, vol. 23(1), pages 1-21, March.
    7. Azlor, Luz & Damm, Anna Piil & Schultz-Nielsen, Marie Louise, 2020. "Local labour demand and immigrant employment," Labour Economics, Elsevier, vol. 63(C).
    8. Di Iasio, Valentina & Wahba, Jackline, 2023. "The Determinants of Refugees' Destinations: Where Do Refugees Locate within the EU?," IZA Discussion Papers 16085, Institute of Labor Economics (IZA).
    9. Arendt, Jacob Nielsen, 2020. "Labor Market Effects of a Work-first Policy for Refugees," GLO Discussion Paper Series 662, Global Labor Organization (GLO).
    10. Marco Pecoraro & Anita Manatschal & Eva G. T. Green & Philippe Wanner, 2019. "Does integration policy improve labour market, sociocultural and psychological adaptation of asylum-related immigrants? Evidence from Sri Lankans in Switzerland," IRENE Working Papers 19-08, IRENE Institute of Economic Research.
    11. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    12. Braun, Sebastian T. & Dwenger, Nadja, 2020. "Settlement location shapes the integration of forced migrants: Evidence from post-war Germany⁎," Explorations in Economic History, Elsevier, vol. 77(C).

  14. Mogens Fosgerau & Kenneth Small, 2017. "Endogenous Scheduling Preferences And Congestion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(2), pages 585-615, May.
    See citations under working paper version above.
  15. Mai, Tien & Frejinger, Emma & Fosgerau, Mogens & Bastin, Fabian, 2017. "A dynamic programming approach for quickly estimating large network-based MEV models," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 179-197.

    Cited by:

    1. Dam, Tien Thanh & Ta, Thuy Anh & Mai, Tien, 2022. "Submodularity and local search approaches for maximum capture problems under generalized extreme value models," European Journal of Operational Research, Elsevier, vol. 300(3), pages 953-965.
    2. Song, Yuchen & Li, Dawei & Liu, Dongjie & Cao, Qi & Chen, Junlan & Ren, Gang & Tang, Xiaoyong, 2022. "Modeling activity-travel behavior under a dynamic discrete choice framework with unobserved heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    3. Shiva Habibi & Emma Frejinger & Marcus Sundberg, 2019. "An empirical study on aggregation of alternatives and its influence on prediction in car type choice models," Transportation, Springer, vol. 46(3), pages 563-582, June.
    4. Tran, Hung & Mai, Tien, 2024. "Network-based representations and dynamic discrete choice models for multiple discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 184(C).
    5. Dam, Tien Thanh & Ta, Thuy Anh & Mai, Tien, 2023. "Robust maximum capture facility location under random utility maximization models," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1128-1150.
    6. Tien Mai & Patrick Jaillet, 2019. "Robust Product-line Pricing under Generalized Extreme Value Models," Papers 1912.09552, arXiv.org, revised Oct 2021.
    7. Anna Fernández-Antolín & Matthieu Lapparent & Michel Bierlaire, 2018. "Modeling purchases of new cars: an analysis of the 2014 French market," Theory and Decision, Springer, vol. 84(2), pages 277-303, March.
    8. Hung Tran & Tien Mai, 2023. "Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis," Papers 2306.04606, arXiv.org.

  16. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    See citations under working paper version above.
  17. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.

    Cited by:

    1. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos, 2021. "Travel preferences of public transport users under uneven headways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 61-75.
    2. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    3. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    4. Li, Chuan-Yao & Huang, Hai-Jun, 2018. "User equilibrium of a single-entry traffic corridor with continuous scheduling preference," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 21-38.
    5. Yu Xiao & Nicolas Coulombel & André de Palma, 2017. "The valuation of travel time reliability: does congestion matter?," Post-Print hal-01465956, HAL.
    6. Teppei Kato & Kenetsu Uchida & William H. K. Lam & Agachai Sumalee, 2021. "Estimation of the value of travel time and of travel time reliability for heterogeneous drivers in a road network," Transportation, Springer, vol. 48(4), pages 1639-1670, August.
    7. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    8. Bao, Yue & Yang, Hai & Gao, Ziyou & Xu, Hongli, 2023. "How do pre-event activities alleviate congestion and increase attendees’ travel utility and the venue's profit during a special event?," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 332-353.
    9. Lamotte, Raphaël & Geroliminis, Nikolas, 2018. "The morning commute in urban areas with heterogeneous trip lengths," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 794-810.
    10. Quentin David & Moez Kilani, 2022. "Transport policies in polycentric cities," Post-Print hal-03969419, HAL.
    11. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.
    12. Li, Chuanyao & Huang, Haijun, 2019. "Analysis of bathtub congestion with continuous scheduling preference," Research in Transportation Economics, Elsevier, vol. 75(C), pages 45-54.
    13. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    14. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    15. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    16. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    17. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    18. Arnott, Richard & Buli, Joshua, 2018. "Solving for equilibrium in the basic bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 150-175.
    19. Chaoda Xie & Xifu Wang & Daisuke Fukuda, 2020. "On the Pricing of Urban Rail Transit with Track Sharing Freight Service," Sustainability, MDPI, vol. 12(7), pages 1-29, April.

  18. Fosgerau, Mogens, 2015. "Congestion in the bathtub," Economics of Transportation, Elsevier, vol. 4(4), pages 241-255.
    See citations under working paper version above.
  19. Börjesson, Maria & Fosgerau, Mogens, 2015. "Response time patterns in a stated choice experiment," Journal of choice modelling, Elsevier, vol. 14(C), pages 48-58.
    See citations under working paper version above.
  20. Mai, Tien & Fosgerau, Mogens & Frejinger, Emma, 2015. "A nested recursive logit model for route choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 75(C), pages 100-112.
    See citations under working paper version above.
  21. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," Journal of choice modelling, Elsevier, vol. 16(C), pages 43-49.
    See citations under working paper version above.
  22. Fosgerau, Mogens & Engelson, Leonid & Franklin, Joel P., 2014. "Commuting for meetings," Journal of Urban Economics, Elsevier, vol. 81(C), pages 104-113.
    See citations under working paper version above.
  23. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    See citations under working paper version above.
  24. Fosgerau, Mogens & Frejinger, Emma & Karlstrom, Anders, 2013. "A link based network route choice model with unrestricted choice set," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 70-80.
    See citations under working paper version above.
  25. Fosgerau, Mogens & Mabit, Stefan L., 2013. "Easy and flexible mixture distributions," Economics Letters, Elsevier, vol. 120(2), pages 206-210.
    See citations under working paper version above.
  26. Fosgerau, Mogens & Lindsey, Robin, 2013. "Trip-timing decisions with traffic incidents," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 764-782.
    See citations under working paper version above.
  27. Eliasson, Jonas & Fosgerau, Mogens, 2013. "Cost overruns and demand shortfalls – Deception or selection?," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 105-113.
    See citations under working paper version above.
  28. de Palma, André & Fosgerau, Mogens, 2013. "Random queues and risk averse users," European Journal of Operational Research, Elsevier, vol. 230(2), pages 313-320.
    See citations under working paper version above.
  29. Fosgerau, Mogens & Small, Kenneth A., 2013. "Hypercongestion in downtown metropolis," Journal of Urban Economics, Elsevier, vol. 76(C), pages 122-134.
    See citations under working paper version above.
  30. Fosgerau, Mogens & de Palma, André, 2013. "The dynamics of urban traffic congestion and the price of parking," Journal of Public Economics, Elsevier, vol. 105(C), pages 106-115.
    See citations under working paper version above.
  31. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "Catching the tail: Empirical identification of the distribution of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 378-391.
    See citations under working paper version above.
  32. Fosgerau, Mogens & de Palma, André, 2012. "Congestion in a city with a central bottleneck," Journal of Urban Economics, Elsevier, vol. 71(3), pages 269-277.
    See citations under working paper version above.
  33. Hjorth, Katrine & Fosgerau, Mogens, 2012. "Using prospect theory to investigate the low marginal value of travel time for small time changes," Transportation Research Part B: Methodological, Elsevier, vol. 46(8), pages 917-932.
    See citations under working paper version above.
  34. De Borger, Bruno & Fosgerau, Mogens, 2012. "Information provision by regulated public transport companies," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 492-510.
    See citations under working paper version above.
  35. Mogens Fosgerau & Kenneth A. Small, 2012. "Marginal Congestion Cost on a Dynamic Expressway Network," Journal of Transport Economics and Policy, University of Bath, vol. 46(3), pages 431-450, September.

    Cited by:

    1. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    2. Fumitoshi Mizutani & Yusuke Suzuki & Shuji Uranishi, 2017. "Magnitude of external costs of highways in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 1(2), pages 337-357, October.
    3. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    4. Anupriya, & Bansal, Prateek & Graham, Daniel J., 2023. "Congestion in cities: Can road capacity expansions provide a solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    5. Adler, Martin W. & Ommeren, Jos van & Rietveld, Piet, 2013. "Road congestion and incident duration," Economics of Transportation, Elsevier, vol. 2(4), pages 109-118.

  36. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.

    Cited by:

    1. Ahlfeldt, Gabriel M. & Nitsch, Volker & Wendland, Nicolai, 2019. "Ease vs. noise: long-run changes in the value of transport (dis)amenities," LSE Research Online Documents on Economics 101736, London School of Economics and Political Science, LSE Library.
    2. Vanni, Fabio, 2024. "A visit generation process for human mobility random graphs with location-specific latent-variables: From land use to travel demand," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    3. Tabuchi, Takatoshi, 2023. "Backward-bending labor supply and urban location," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    4. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "Catching the Tail: Empirical Identification of the Distribution of the Value of Travel Time," MPRA Paper 69099, University Library of Munich, Germany.
    5. Hultkrantz, Lars & Krüger, Niclas & Mantalos , Panagiotis, 2012. "Risk-adjusted long term social rates of discount for transportation infrastructure investment," Working Papers 2012:14, Örebro University, School of Business.
    6. Asplund, Disa & Pyddoke, Roger, 2018. "Can increases in public transport supply be justified by concern for low-income individuals?," Working papers in Transport Economics 2018:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 30 Mar 2020.
    7. Gabriel M. Ahlfeldt & Volker Nitsch & Nicolai Wendland, 2019. "Ease versus noise: long-run changes in the value of transport (dis)amenities," CEP Discussion Papers dp1631, Centre for Economic Performance, LSE.
    8. Federico Boffa & Alessandro Fedele & Alberto Iozzi, 2020. "Congestion and Incentives in the Age of Driverless Fleets," BEMPS - Bozen Economics & Management Paper Series BEMPS67, Faculty of Economics and Management at the Free University of Bozen.
    9. Rich, Jeppe & Vandet, Christian Anker, 2019. "Is the value of travel time savings increasing? Analysis throughout a financial crisis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 145-168.
    10. Börjesson, Maria & Eliasson, Jonas, 2012. "The value of time and external benefits in bicycle appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 673-683.
    11. Rimjha, Mihir & Hotle, Susan & Trani, Antonio & Hinze, Nicolas, 2021. "Commuter demand estimation and feasibility assessment for Urban Air Mobility in Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 506-524.
    12. Abdelwahab, Bilal & Palm, Matthew & Shalaby, Amer & Farber, Steven, 2021. "Evaluating the equity implications of ridehailing through a multi-modal accessibility framework," Journal of Transport Geography, Elsevier, vol. 95(C).
    13. Stéphanie Souche & Aurelie Mercier & Nicolas Ovtracht, 2016. "The impacts of urban pricing on social and spatial inequalities: The case study of Lyon (France)," Urban Studies, Urban Studies Journal Limited, vol. 53(2), pages 373-399, February.
    14. Kouwenhoven, Marco & de Jong, Gerard, 2018. "Value of travel time as a function of comfort," Journal of choice modelling, Elsevier, vol. 28(C), pages 97-107.
    15. Börjesson, Maria & Jonsson, R. Daniel & Lundberg, Mattias, 2014. "An ex-post CBA for the Stockholm Metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 135-148.
    16. Wardman, Mark & Chintakayala, V. Phani K. & de Jong, Gerard, 2016. "Values of travel time in Europe: Review and meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 93-111.
    17. Maria Börjesson, 2014. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Transportation, Springer, vol. 41(2), pages 377-396, March.
    18. Beck, Matthew J. & Hess, Stephane, 2016. "Willingness to accept longer commutes for better salaries: Understanding the differences within and between couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 1-16.
    19. Lehe, Lewis J., 2020. "Winners and losers from road pricing with heterogeneous travelers and a mixed-traffic bus alternative," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 432-446.
    20. Gössling, Stefan & Choi, Andy S., 2015. "Transport transitions in Copenhagen: Comparing the cost of cars and bicycles," Ecological Economics, Elsevier, vol. 113(C), pages 106-113.
    21. Börjesson, Maria, 2012. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Working papers in Transport Economics 2012:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    22. Yue Bao & Erik Verhoef & Paul Koster, "undated". "Regulating dynamic congestion externalities with tradable credit schemes: does a unique equilibrium exist?," Tinbergen Institute Discussion Papers 19-017/VIII, Tinbergen Institute.
    23. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    24. Hultkrantz, Lars & Svensson, Mikael, 2012. "A Comparison of Benefit Cost and Cost Utility Analysis in Practice: Divergent Policies in Sweden," Karlstad University Working Papers in Economics 1, Karlstad University, Department of Economics.
    25. Varghese, Varun & Moniruzzaman, Md. & Chikaraishi, Makoto, 2023. "Environmental sustainability or equity in welfare? Analysing passenger flows of a mass rapid transit system with heterogeneous demand," Research in Transportation Economics, Elsevier, vol. 97(C).
    26. Mark Wardman & Phani Chintakayala & Chris Heywood, 2020. "The valuation and demand impacts of the worthwhile use of travel time with specific reference to the digital revolution and endogeneity," Transportation, Springer, vol. 47(3), pages 1515-1540, June.
    27. Halse, Askill Harkjerr & Fridstrøm, Lasse, 2019. "Explaining low economic return on road investments. New evidence from Norway," MPRA Paper 94389, University Library of Munich, Germany.
    28. Juan Gomez & Anestis Papanikolaou & José Manuel Vassallo, 2017. "Users’ perceptions and willingness to pay in interurban toll roads: identifying differences across regions from a nationwide survey in Spain," Transportation, Springer, vol. 44(3), pages 449-474, May.
    29. Beck, Matthew J. & Hess, Stephane & Cabral, Manuel Ojeda & Dubernet, Ilka, 2017. "Valuing travel time savings: A case of short-term or long term choices?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 133-143.
    30. Mouter, Niek & Annema, Jan Anne & van Wee, Bert, 2013. "Ranking the substantive problems in the Dutch Cost–Benefit Analysis practice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 241-255.
    31. Ezzat Elokda & Saverio Bolognani & Andrea Censi & Florian Dorfler & Emilio Frazzoli, 2022. "A self-contained karma economy for the dynamic allocation of common resources," Papers 2207.00495, arXiv.org, revised May 2023.
    32. Tjiong, Jeff & Dekker, Thijs & Hess, Stephane & Ojeda Cabral, Manuel, 2022. "The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal," Research in Transportation Economics, Elsevier, vol. 94(C).
    33. Binsuwadan, Jawaher & Wardman, Mark & de Jong, Gerard & Batley, Richard & Wheat, Phill, 2023. "The income elasticity of the value of travel time savings: A meta-analysis," Transport Policy, Elsevier, vol. 136(C), pages 126-136.
    34. Pyddoke, Roger, 2016. "Modelling effects of policy instruments for sustainable urban transport in Scandinavia," Working papers in Transport Economics 2016:29, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    35. Solvoll, Gisle & Hanssen, Thor-Erik Sandberg, 2017. "User satisfaction with specialised transport for disabled in Norway," Journal of Transport Geography, Elsevier, vol. 62(C), pages 1-7.
    36. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    37. Nicholas Buchholz & Laura Doval & Jakub Kastl & Filip Matějka & Tobias Salz, 2020. "Personalized Pricing and the Value of Time: Evidence from Auctioned Cab Rides," NBER Working Papers 27087, National Bureau of Economic Research, Inc.
    38. Fessler, Andreas & Thorhauge, Mikkel & Mabit, Stefan & Haustein, Sonja, 2022. "A public transport-based crowdshipping concept as a sustainable last-mile solution: Assessing user preferences with a stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 210-223.
    39. Rashidi, Taha Hossein & Waller, Travis & Axhausen, Kay, 2020. "Reduced value of time for autonomous vehicle users: Myth or reality?," Transport Policy, Elsevier, vol. 95(C), pages 30-36.
    40. Börjesson, Maria & Jonsson, Daniel & Lundberg , Mattias, 2013. "An ex-post CBA for the Stockholm Metro," Working papers in Transport Economics 2013:34, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

  37. Moshe Ben-Akiva & André Palma & Daniel McFadden & Maya Abou-Zeid & Pierre-André Chiappori & Matthieu Lapparent & Steven Durlauf & Mogens Fosgerau & Daisuke Fukuda & Stephane Hess & Charles Manski & Ar, 2012. "Process and context in choice models," Marketing Letters, Springer, vol. 23(2), pages 439-456, June.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Wuepper, David & Sauer, Johannes & Kleemann, Linda, 2014. "Sustainable intensification of pineapple farming in Ghana: Training and complexity," Kiel Working Papers 1973, Kiel Institute for the World Economy (IfW Kiel).
    3. Di Ciommo, Floridea & Comendador, Julio & López-Lambas, María Eugenia & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2014. "Exploring the role of social capital influence variables on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 46-55.
    4. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311135, HAL.
    5. Nathalie Picard & André de Palma & Moshe Ben-Akiva, 2018. "Special issue in the Honor of Daniel McFadden: Introduction," Post-Print hal-02980532, HAL.
    6. Ching-Hua Yeh & Monika Hartmann, 2021. "To Purchase or Not to Purchase? Drivers of Consumers’ Preferences for Animal Welfare in Their Meat Choice," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    7. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    8. Maya Abou-Zeid & Moshe Ben-Akiva, 2014. "Hybrid choice models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 17, pages 383-412, Edward Elgar Publishing.
    9. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
    10. Motz, Alessandra, 2021. "Consumer acceptance of the energy transition in Switzerland: The role of attitudes explained through a hybrid discrete choice model," Energy Policy, Elsevier, vol. 151(C).
    11. Anna K. Edenbrandt & Christian Gamborg & Bo Jellesmark Thorsen, 2020. "Observational learning in food choices: The effect of product familiarity and closeness of peers," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 482-498, June.
    12. André de Palma & Nathalie Picard & Ignacio Inoa, 2014. "Discrete Choice Decision-Making with Multiple Decision Makers within the Household," Working Papers hal-00969216, HAL.
    13. Dugstad, Anders & Brouwer, Roy & Grimsrud, Kristine & Kipperberg, Gorm & Lindhjem, Henrik & Navrud, Ståle, 2024. "Nature is ours! – Psychological ownership and preferences for wind energy," Energy Economics, Elsevier, vol. 129(C).
    14. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    15. André de Palma & Nathalie Picard & Robin Lindsey, 2024. "Activity and transportation decisions within households," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 16, pages 426-451, Edward Elgar Publishing.
    16. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    17. Jaap Sok & Egil A J Fischer, 2020. "Farmers' heterogeneous motives, voluntary vaccination and disease spread: an agent-based model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1201-1222.
    18. André Palma & Mohammed Abdellaoui & Giuseppe Attanasi & Moshe Ben-Akiva & Ido Erev & Helga Fehr-Duda & Dennis Fok & Craig Fox & Ralph Hertwig & Nathalie Picard & Peter Wakker & Joan Walker & Martin We, 2014. "Beware of black swans: Taking stock of the description–experience gap in decision under uncertainty," Marketing Letters, Springer, vol. 25(3), pages 269-280, September.
    19. Jensen, Anne Kejser & Olsen, Søren Bøye, 2019. "Childhood Nature Experiences and Adulthood Environmental Preferences," Ecological Economics, Elsevier, vol. 156(C), pages 48-56.
    20. Melvin Wong & Bilal Farooq, 2019. "ResLogit: A residual neural network logit model for data-driven choice modelling," Papers 1912.10058, arXiv.org, revised Feb 2021.
    21. Di Ciommo, Floridea & Monzón, Andrés & Fernandez-Heredia, Alvaro, 2013. "Improving the analysis of road pricing acceptability surveys by using hybrid models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 302-316.
    22. Raphael Thomadsen & Robert P. Rooderkerk & On Amir & Neeraj Arora & Bryan Bollinger & Karsten Hansen & Leslie John & Wendy Liu & Aner Sela & Vishal Singh & K. Sudhir & Wendy Wood, 2018. "How Context Affects Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 3-14, March.
    23. Salak, B. & Lindberg, K. & Kienast, F. & Hunziker, M., 2021. "How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).

  38. Engelson, Leonid & Fosgerau, Mogens, 2011. "Additive measures of travel time variability," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1560-1571.
    See citations under working paper version above.
  39. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
    See citations under working paper version above.
  40. Katrine Hjorth & Mogens Fosgerau, 2011. "Loss Aversion and Individual Characteristics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 573-596, August.

    Cited by:

    1. Börjesson, Maria & Fosgerau, Mogens, 2015. "Response Time Patterns in a Stated Choice Experiment," MPRA Paper 62002, University Library of Munich, Germany.
    2. Dominic Bergers, 2021. "Individual differences in the susceptibility of biases relevant in price management: a state-of-the-art article," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(4), pages 497-528, August.
    3. Marcos Fernández‐Gutiérrez & Oliver James & Sebastian Jilke, 2017. "Competition and switching in public service markets: Can they reduce inequalities?," Regulation & Governance, John Wiley & Sons, vol. 11(1), pages 41-63, March.
    4. Matthew Gould & Matthew D. Rablen, 2019. "Are World Leaders Loss Averse?," CESifo Working Paper Series 7763, CESifo.
    5. Lamorgese, Andrea R. & Pellegrino, Dario, 2022. "Loss aversion in housing appraisal: Evidence from Italian homeowners," Journal of Housing Economics, Elsevier, vol. 56(C).
    6. Julia Blasch & Claudio Daminato, 2018. "Behavioral anomalies and energy-related individual choices: the role of status-quo bias," CER-ETH Economics working paper series 18/300, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    7. De Borger, Bruno & Glazer, Amihai, 2017. "Support and opposition to a Pigovian tax: Road pricing with reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 99(C), pages 31-47.
    8. Andrea Lamorgese & Dario Pellegrino, 2019. "Loss aversion in housing price appraisals among Italian homeowners," Temi di discussione (Economic working papers) 1248, Bank of Italy, Economic Research and International Relations Area.
    9. Hojun Sung & Hyunwoong Pyun, 2023. "Disaggregated Attendance Demand: Comparing Daily Ticket Purchasers and Season Ticket Holders in K-League 1," Journal of Sports Economics, , vol. 24(6), pages 717-736, August.
    10. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    11. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
    12. Jonathan P. Beauchamp & Daniel J. Benjamin & David I. Laibson & Christopher F. Chabris, 2020. "Measuring and controlling for the compromise effect when estimating risk preference parameters," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1069-1099, December.
    13. Mabit, Stefan L. & Cherchi, Elisabetta & Jensen, Anders F. & Jordal-Jørgensen, Jørgen, 2015. "The effect of attitudes on reference-dependent preferences: Estimation and validation for the case of alternative-fuel vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 17-28.
    14. Judith Clifton & Daniel Díaz-Fuentes & Marcos Fernández-Gutiérrez, 2014. "The impact of socio-economic background on satisfaction: evidence for policy-makers," Journal of Regulatory Economics, Springer, vol. 46(2), pages 183-206, October.
    15. Chen, Catherine, 2023. "Framing energy-efficiency programs: A survey experiment," Energy Policy, Elsevier, vol. 183(C).

  41. Fosgerau, Mogens, 2011. "How a fast lane may replace a congestion toll," Transportation Research Part B: Methodological, Elsevier, vol. 45(6), pages 845-851, July.
    See citations under working paper version above.
  42. Fosgerau, Mogens & Nielsen, Søren Feodor, 2010. "Deconvoluting Preferences And Errors: A Model For Binomial Panel Data," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1846-1854, December.
    See citations under working paper version above.
  43. Fosgerau, Mogens, 2010. "On the relation between the mean and variance of delay in dynamic queues with random capacity and demand," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 598-603, April.
    See citations under working paper version above.
  44. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    See citations under working paper version above.
  45. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    3. Doherty, Edel & Campbell, Danny & Hynes, Stephen, 2012. "Exploring cost heterogeneity in recreational demand," Working Papers 148832, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    4. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    5. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.
    6. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    7. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "A Dirichlet Process Mixture Model of Discrete Choice," Papers 1801.06296, arXiv.org.
    8. Waleska Sigüernza & Petr Mariel, 2013. "Valoración económica de los servicios sanitarios en la Comunidad Autónoma del País Vasco," Hacienda Pública Española / Review of Public Economics, IEF, vol. 207(4), pages 71-99, December.
    9. Mogens Fosgerau, 2024. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 308-318, Edward Elgar Publishing.
    10. Georges Sfeir & Maya Abou-Zeid & Filipe Rodrigues & Francisco Camara Pereira & Isam Kaysi, 2020. "Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach," Papers 2007.02739, arXiv.org.
    11. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
    12. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    13. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    14. Dekker, Thijs, 2016. "Asymmetric triangular mixing densities for mixed logit models," Journal of choice modelling, Elsevier, vol. 21(C), pages 48-55.
    15. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    16. Beeramoole, Prithvi Bhat & Arteaga, Cristian & Pinz, Alban & Haque, Md Mazharul & Paz, Alexander, 2023. "Extensive hypothesis testing for estimation of mixed-Logit models," Journal of choice modelling, Elsevier, vol. 47(C).
    17. Jesús Clemente López & Pedro García Castrillo & María A. González Alvarez & Marcos Sanso Frago, 2014. "Una evaluación de la efectividad de la formación ocupacional para desempleados antes y después de la crisis económica: el caso de Aragón," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 77-106, March.
    18. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2021. "Logit Mixed Logit Under Asymmetry and Multimodality of WTP: A Monte Carlo Evaluation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 643-662, March.
    19. Edel Doherty & Danny Campbell & Stephen Hynes, 2013. "Models of Site-choice for Walks in Rural Ireland: Exploring Cost Heterogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 446-466, June.
    20. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    21. S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021. "Choice modelling in the age of machine learning -- discussion paper," Papers 2101.11948, arXiv.org, revised Nov 2021.
    22. Sfeir, Georges & Abou-Zeid, Maya & Rodrigues, Filipe & Pereira, Francisco Camara & Kaysi, Isam, 2021. "Latent class choice model with a flexible class membership component: A mixture model approach," Journal of choice modelling, Elsevier, vol. 41(C).
    23. Campbell, Danny & Boeri, Marco & Doherty, Edel & George Hutchinson, W., 2015. "Learning, fatigue and preference formation in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 345-363.

  46. Fosgerau, M. & Bierlaire, M., 2009. "Discrete choice models with multiplicative error terms," Transportation Research Part B: Methodological, Elsevier, vol. 43(5), pages 494-505, June.

    Cited by:

    1. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    2. Mattsson, Lars-Göran & Weibull, Jörgen W. & Lindberg, Per Olov, 2014. "Extreme values, invariance and choice probabilities," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 81-95.
    3. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    4. Mikołaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2016. "Controlling for the Effects of Information in a Public Goods Discrete Choice Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(3), pages 523-544, March.
    5. Dam, Tien Thanh & Ta, Thuy Anh & Mai, Tien, 2022. "Submodularity and local search approaches for maximum capture problems under generalized extreme value models," European Journal of Operational Research, Elsevier, vol. 300(3), pages 953-965.
    6. Song, Yuchen & Li, Dawei & Liu, Dongjie & Cao, Qi & Chen, Junlan & Ren, Gang & Tang, Xiaoyong, 2022. "Modeling activity-travel behavior under a dynamic discrete choice framework with unobserved heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    7. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    8. Kitthamkesorn, Songyot & Chen, Anthony, 2024. "Maximum capture problem for urban air mobility network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    9. Feng, Yingzi & Zhao, Jiandong & Sun, Huijun & Wu, Jianjun & Gao, Ziyou, 2022. "Choices of intercity multimodal passenger travel modes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    10. Gu, Yu & Chen, Anthony & Kitthamkesorn, Songyot & Jang, Sunghoon, 2024. "Alternate closed-form weibit-based model for assessing travel choice with an oddball alternative," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    11. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene & Patruni, Bhanu & Vuk, Goran, 2021. "Using state-of-the-art models in applied work: Travellers willingness to pay for a toll tunnel in Copenhagen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 37-52.
    12. Chakroborty, Partha & Pinjari, Abdul Rawoof & Meena, Jayant & Gandhi, Avinash, 2021. "A Psychophysical Ordered Response Model of Time Perception and Service Quality: Application to Level of Service Analysis at Toll Plazas," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 44-64.
    13. del Castillo, J.M., 2016. "A class of RUM choice models that includes the model in which the utility has logistic distributed errors," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 1-20.
    14. Bahamonde-Birke, Francisco J. & Hanappi, Tibor, 2016. "The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 30-41.
    15. Francisco J. Bahamonde-Birke & Tibor Hanappi, 2015. "The Potential of Electromobility in Austria: An Analysis Based on Hybrid Choice Models," Discussion Papers of DIW Berlin 1472, DIW Berlin, German Institute for Economic Research.
    16. Tan, Heqing & Xu, Xiangdong & Chen, Anthony, 2024. "On endogenously distinguishing inactive paths in stochastic user equilibrium: A convex programming approach with a truncated path choice model," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    17. Kitthamkesorn, Songyot & Chen, Anthony, 2014. "Unconstrained weibit stochastic user equilibrium model with extensions," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 1-21.
    18. Manuel Ojeda-Cabral & Stephane Hess & Richard Batley, 2018. "Understanding valuation of travel time changes: are preferences different under different stated choice design settings?," Transportation, Springer, vol. 45(1), pages 1-21, January.
    19. Xu, Xiangdong & Chen, Anthony & Kitthamkesorn, Songyot & Yang, Hai & Lo, Hong K., 2015. "Modeling absolute and relative cost differences in stochastic user equilibrium problem," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 686-703.
    20. Kim, Junghwan & Lee, Bumsoo, 2019. "More than travel time: New accessibility index capturing the connectivity of transit services," Journal of Transport Geography, Elsevier, vol. 78(C), pages 8-18.
    21. Paul Koster & Eric Kroes & Erik T. Verhoef, 2010. "Travel Time Variability and Airport Accessibility," Tinbergen Institute Discussion Papers 10-061/3, Tinbergen Institute.
    22. Aydın Alptekinoğlu & John H. Semple, 2016. "The Exponomial Choice Model: A New Alternative for Assortment and Price Optimization," Operations Research, INFORMS, vol. 64(1), pages 79-93, February.
    23. Chikaraishi, Makoto & Nakayama, Shoichiro, 2016. "Discrete choice models with q-product random utilities," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 576-595.
    24. Dubey, Subodh & Cats, Oded & Hoogendoorn, Serge & Bansal, Prateek, 2022. "A multinomial probit model with Choquet integral and attribute cut-offs," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 140-163.
    25. Stephane Hess & Andrew Daly & Richard Batley, 2018. "Revisiting consistency with random utility maximisation: theory and implications for practical work," Theory and Decision, Springer, vol. 84(2), pages 181-204, March.
    26. Siskos, Pelopidas & Capros, Pantelis & De Vita, Alessia, 2015. "CO2 and energy efficiency car standards in the EU in the context of a decarbonisation strategy: A model-based policy assessment," Energy Policy, Elsevier, vol. 84(C), pages 22-34.
    27. Brathwaite, Timothy & Walker, Joan L., 2018. "Asymmetric, closed-form, finite-parameter models of multinomial choice," Journal of choice modelling, Elsevier, vol. 29(C), pages 78-112.
    28. Li, Dawei & Feng, Siqi & Song, Yuchen & Lai, Xinjun & Bekhor, Shlomo, 2023. "Asymmetric closed-form route choice models: Formulations and comparative applications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    29. Siskos, Pelopidas & Moysoglou, Yannis, 2019. "Assessing the impacts of setting CO2 emission targets on truck manufacturers: A model implementation and application for the EU," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 123-138.
    30. Gu, Yu & Chen, Anthony & Kitthamkesorn, Songyot, 2024. "Modeling shared parking services at spatially correlated locations through a weibit-based combined destination and parking choice equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 186(C).
    31. Hess, Stephane & Daly, Andrew & Dekker, Thijs & Cabral, Manuel Ojeda & Batley, Richard, 2017. "A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 126-149.
    32. Nakayama, Shoichiro & Chikaraishi, Makoto, 2015. "Unified closed-form expression of logit and weibit and its extension to a transportation network equilibrium assignment," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 672-685.
    33. Swait, Joffre, 2009. "Choice models based on mixed discrete/continuous PDFs," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 766-783, August.
    34. Richard Batley & John Bates & Michiel Bliemer & Maria Börjesson & Jeremy Bourdon & Manuel Ojeda Cabral & Phani Kumar Chintakayala & Charisma Choudhury & Andrew Daly & Thijs Dekker & Efie Drivyla & Ton, 2019. "New appraisal values of travel time saving and reliability in Great Britain," Transportation, Springer, vol. 46(3), pages 583-621, June.
    35. Nirmale, Sangram Krishna & Pinjari, Abdul Rawoof, 2023. "Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 169-193.
    36. Dubey, Subodh & Bansal, Prateek & Daziano, Ricardo A. & Guerra, Erick, 2020. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 114-141.
    37. Selin Damla Ahipaşaoğlu & Uğur Arıkan & Karthik Natarajan, 2019. "Distributionally Robust Markovian Traffic Equilibrium," Transportation Science, INFORMS, vol. 53(6), pages 1546-1562, November.
    38. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
    39. Stephane Hess & John Rose, 2012. "Can scale and coefficient heterogeneity be separated in random coefficients models?," Transportation, Springer, vol. 39(6), pages 1225-1239, November.
    40. Tjiong, Jeff & Dekker, Thijs & Hess, Stephane & Ojeda Cabral, Manuel, 2022. "The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal," Research in Transportation Economics, Elsevier, vol. 94(C).
    41. Rico Krueger & Michel Bierlaire & Thomas Gasos & Prateek Bansal, 2020. "Robust discrete choice models with t-distributed kernel errors," Papers 2009.06383, arXiv.org, revised Dec 2022.
    42. Kitthamkesorn, Songyot & Chen, Anthony, 2013. "A path-size weibit stochastic user equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 378-397.
    43. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    44. Ngan Ha Duong & Tien Thanh Dam & Thuy Anh Ta & Tien Mai, 2022. "Joint Location and Cost Planning in Maximum Capture Facility Location under Multiplicative Random Utility Maximization," Papers 2205.07345, arXiv.org, revised Feb 2023.
    45. Kitthamkesorn, Songyot & Chen, Anthony, 2017. "Alternate weibit-based model for assessing green transport systems with combined mode and route travel choices," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 291-310.
    46. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
    47. Donovan, Stuart & de Graaff, Thomas & Grimes, Arthur & de Groot, Henri L.F. & Maré, David C., 2022. "Cities with forking paths? Agglomeration economies in New Zealand 1976–2018," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    48. Li, Baibing, 2011. "The multinomial logit model revisited: A semi-parametric approach in discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 461-473, March.
    49. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    50. D. Pennesi, 2016. "Intertemporal discrete choice," Working Papers wp1061, Dipartimento Scienze Economiche, Universita' di Bologna.
    51. Gu, Yu & Chen, Anthony & Kitthamkesorn, Songyot, 2022. "Weibit choice models: Properties, mode choice application and graphical illustrations," Journal of choice modelling, Elsevier, vol. 44(C).
    52. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.
    53. Subodh Dubey & Prateek Bansal & Ricardo A. Daziano & Erick Guerra, 2019. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Papers 1904.08332, arXiv.org, revised Jan 2020.

  47. Fosgerau, Mogens, 2009. "The marginal social cost of headway for a scheduled service," Transportation Research Part B: Methodological, Elsevier, vol. 43(8-9), pages 813-820, September.

    Cited by:

    1. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos, 2021. "Travel preferences of public transport users under uneven headways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 61-75.
    2. Mark G. Lijesen, 2014. "Optimal Traveler Responses to Stochastic Delays in Public Transport," Transportation Science, INFORMS, vol. 48(2), pages 256-264, May.
    3. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    4. Lamotte, Raphaël & de Palma, André & Geroliminis, Nikolas, 2017. "On the use of reservation-based autonomous vehicles for demand management," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 205-227.
    5. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.
    6. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    7. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
    8. Díez-Gutiérrez, María & Tørset, Trude, 2019. "Perception of inconvenience costs: Evidence from seven ferry services in Norway," Transport Policy, Elsevier, vol. 77(C), pages 58-67.
    9. Paul Koster & Eric Pels & Erik Verhoef, 2013. "The User Costs of Air Travel Delay Variability," Tinbergen Institute Discussion Papers 13-056/VIII, Tinbergen Institute.
    10. Jørgensen, Finn & Solvoll, Gisle, 2018. "Determining optimal frequency at ferry crossings," Transport Policy, Elsevier, vol. 63(C), pages 200-208.
    11. Piet Rietveld, 2010. "The Economics of Information in Transport," Tinbergen Institute Discussion Papers 10-110/3, Tinbergen Institute.
    12. Bernal, Margarita & Welch, Eric W. & Sriraj, P.S., 2016. "The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 11-21.
    13. Benezech, Vincent & Coulombel, Nicolas, 2013. "The value of service reliability," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 1-15.
    14. Raphaël Lamotte & André de Palma & Nikolas Geroliminis, 2016. "Sharing the road: the economics of autonomous vehicles," Working Papers hal-01281425, HAL.
    15. Yin-Yen Tseng & Piet Rietveld & Erik Verhoef, 2012. "Unreliable trains and induced rescheduling: implications for cost-benefit analysis," Transportation, Springer, vol. 39(2), pages 387-407, March.
    16. De Borger, Bruno & Fosgerau, Mogens, 2012. "Information provision by regulated public transport companies," MPRA Paper 42267, University Library of Munich, Germany.
    17. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    18. André de Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.
    19. Juan Mesa & Francisco Ortega & Miguel Pozo, 2014. "Locating optimal timetables and vehicle schedules in a transit line," Annals of Operations Research, Springer, vol. 222(1), pages 439-455, November.
    20. Høyem, Harald & Odeck, James, 2020. "Optimal public transit frequency under stochastic demand and fixed vehicle size: Application in the Norwegian car ferry sector," Research in Transportation Economics, Elsevier, vol. 82(C).
    21. Nicolas Coulombel & Guillaume Monchambert, 2019. "Congestion, diseconomies of scale and subsidies in urban public transportation," Working Papers hal-02373768, HAL.
    22. Nicolas Coulombel & Guillaume Monchambert, 2023. "Diseconomies of scale and subsidies in urban public transportation," Post-Print halshs-04112216, HAL.
    23. Høyem, Harald, 2022. "Public transport frequency and risk-taking behavior," Economics of Transportation, Elsevier, vol. 30(C).

  48. Van Ommeren, Jos & Fosgerau, Mogens, 2009. "Workers' marginal costs of commuting," Journal of Urban Economics, Elsevier, vol. 65(1), pages 38-47, January.
    See citations under working paper version above.
  49. Timo Kuosmanen & Mogens Fosgerau, 2009. "Neoclassical versus Frontier Production Models? Testing for the Skewness of Regression Residuals," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(2), pages 351-367, June.
    See citations under working paper version above.
  50. De Borger, Bruno & Fosgerau, Mogens, 2008. "The trade-off between money and travel time: A test of the theory of reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 64(1), pages 101-115, July.

    Cited by:

    1. Gao, Kun & Sun, Lijun & Yang, Ying & Meng, Fanyu & Qu, Xiaobo, 2021. "Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 1-21.
    2. Kouwenhoven, Marco & de Jong, Gerard C. & Koster, Paul & van den Berg, Vincent A.C. & Verhoef, Erik T. & Bates, John & Warffemius, Pim M.J., 2014. "New values of time and reliability in passenger transport in The Netherlands," Research in Transportation Economics, Elsevier, vol. 47(C), pages 37-49.
    3. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "Catching the Tail: Empirical Identification of the Distribution of the Value of Travel Time," MPRA Paper 69099, University Library of Munich, Germany.
    4. Stephane Hess & Amanda Stathopoulos & Andrew Daly, 2012. "Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies," Transportation, Springer, vol. 39(3), pages 565-591, May.
    5. Paul R. Koster & Erik T. Verhoef, 2010. "A Rank Dependent Scheduling Model," Tinbergen Institute Discussion Papers 10-069/3, Tinbergen Institute, revised 26 Aug 2010.
    6. Giovanni Russo & Jos Ommeren & Piet Rietveld, 2012. "The university workers’ willingness to pay for commuting," Transportation, Springer, vol. 39(6), pages 1121-1132, November.
    7. Börjesson, Maria & Fosgerau, Mogens, 2015. "Response Time Patterns in a Stated Choice Experiment," MPRA Paper 62002, University Library of Munich, Germany.
    8. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    9. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 520-541.
    10. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    11. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene & Patruni, Bhanu & Vuk, Goran, 2021. "Using state-of-the-art models in applied work: Travellers willingness to pay for a toll tunnel in Copenhagen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 37-52.
    12. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Working papers in Transport Economics 2018:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    13. Lorenzo Masiero & David A. Hensher, 2010. "Shift of reference point and implications on behavioral reaction to gains and losses," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1005, USI Università della Svizzera italiana.
    14. Dauth, Wolfgang & Haller, Peter, 2019. "Loss aversion in the trade-off between wages and commuting distances," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203611, Verein für Socialpolitik / German Economic Association.
    15. Richard Batley, 2018. "Income effects, cost damping and the value of time: theoretical properties embedded within practical travel choice models," Transportation, Springer, vol. 45(2), pages 623-640, March.
    16. Manuel Ojeda-Cabral & Stephane Hess & Richard Batley, 2018. "Understanding valuation of travel time changes: are preferences different under different stated choice design settings?," Transportation, Springer, vol. 45(1), pages 1-21, January.
    17. Kouwenhoven, Marco & de Jong, Gerard, 2018. "Value of travel time as a function of comfort," Journal of choice modelling, Elsevier, vol. 28(C), pages 97-107.
    18. Kingsley Adjenughwure & Basil Papadopoulos, 2019. "Towards a Fair and More Transparent Rule-Based Valuation of Travel Time Savings," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    19. Tatjana Ibraimovic & Stephane Hess, 2017. "Changes in the ethnic composition of neighbourhoods: Analysis of household's response and asymmetric preference structures," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 759-784, November.
    20. Eivind Tveter, 2023. "The value of travel time: a revealed preferences approach using exogenous variation in travel costs and automatic traffic count data," Transportation, Springer, vol. 50(6), pages 2273-2297, December.
    21. Stephane Hess & Andrew Daly & Richard Batley, 2018. "Revisiting consistency with random utility maximisation: theory and implications for practical work," Theory and Decision, Springer, vol. 84(2), pages 181-204, March.
    22. Maria Börjesson, 2014. "Inter-temporal variation in the travel time and travel cost parameters of transport models," Transportation, Springer, vol. 41(2), pages 377-396, March.
    23. Fosgerau, Mogens, 2008. "Hedonic preferences, symmetric loss aversion and the willingness to pay-willingness to accept gap," MPRA Paper 10041, University Library of Munich, Germany.
    24. Scott, Anthony & Witt, Julia, 2020. "Loss aversion, reference dependence and diminishing sensitivity in choice experiments," Journal of choice modelling, Elsevier, vol. 37(C).
    25. Abigail Bristow & Mark Wardman & V. Chintakayala, 2015. "International meta-analysis of stated preference studies of transportation noise nuisance," Transportation, Springer, vol. 42(1), pages 71-100, January.
    26. De Borger, Bruno & Glazer, Amihai, 2017. "Support and opposition to a Pigovian tax: Road pricing with reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 99(C), pages 31-47.
    27. Gershenson, Seth, 2013. "The causal effect of commute time on labor supply: Evidence from a natural experiment involving substitute teachers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 127-140.
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    29. Qing Li & Feixiong Liao & Harry J. P. Timmermans & Jing Zhou, 2016. "A reference-dependent user equilibrium model for activity-travel scheduling," Transportation, Springer, vol. 43(6), pages 1061-1077, November.
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    31. Guillaume Monchambert, 2020. "Why do (or don't) people carpool for long distance trips? A discrete choice experiment in France," Post-Print hal-02121589, HAL.
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    33. Le Goff, Alix & Monchambert, Guillaume & Raux, Charles, 2022. "Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area," Transport Policy, Elsevier, vol. 115(C), pages 27-39.
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    35. John M. Rose & Lorenzo Masiero, 2010. "A comparison of prospect theory in WTP and preference space," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1006, USI Università della Svizzera italiana.
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    39. Ding, Hongxing & Yang, Hai & Xu, Hongli & Li, Ting, 2023. "Status quo-dependent user equilibrium model with adaptive value of time," Transportation Research Part B: Methodological, Elsevier, vol. 170(C), pages 77-90.
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    41. Hongli Xu & Hai Yang & Jing Zhou & Yafeng Yin, 2017. "A Route Choice Model with Context-Dependent Value of Time," Transportation Science, INFORMS, vol. 51(2), pages 536-548, May.
    42. Caspar G. Chorus, 2014. "Capturing alternative decision rules in travel choice models: a critical discussion," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 13, pages 290-310, Edward Elgar Publishing.
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    45. Maria Börjesson & Marco Kouwenhoven & Gerard Jong & Andrew Daly, 2023. "Can repeated surveys reveal the variation of the value of travel time over time?," Transportation, Springer, vol. 50(1), pages 245-284, February.
    46. Anders Karlström, 2014. "Appraisal," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 24, pages 601-626, Edward Elgar Publishing.
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    83. Peer, Stefanie & Börjesson, Maria, 2018. "Temporal framing of stated preference experiments: does it affect valuations?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 319-333.
    84. Sander Cranenburgh & Marco Kouwenhoven, 2021. "An artificial neural network based method to uncover the value-of-travel-time distribution," Transportation, Springer, vol. 48(5), pages 2545-2583, October.
    85. Mahmud, Asif & Gayah, Vikash V. & Paleti, Rajesh, 2022. "A latent choice model to analyze the role of preliminary preferences in shaping observed choices," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 95-108.
    86. Lorenzo Masiero & Rico Maggi, 2011. "Accounting for WTP/WTA discrepancy in discrete choice models: Discussion of policy implications based on two freight transport stated choice experiments," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1103, USI Università della Svizzera italiana.
    87. Baumgart, Eike & Blaufus, Kay & Hechtner, Frank, 2023. "The tax treatment of commuting expenses and job-related mobility," arqus Discussion Papers in Quantitative Tax Research 280, arqus - Arbeitskreis Quantitative Steuerlehre.

  51. Ninette Pilegaard & Mogens Fosgerau, 2008. "Cost Benefit Analysis of a Transport Improvement in the Case of Search Unemployment," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 23-42, January.
    See citations under working paper version above.
  52. Kveiborg, Ole & Fosgerau, Mogens, 2007. "Decomposing the decoupling of Danish road freight traffic growth and economic growth," Transport Policy, Elsevier, vol. 14(1), pages 39-48, January.

    Cited by:

    1. Jia Li & Yahong Zheng & Bing Liu & Yanyi Chen & Zhihang Zhong & Chenyu Dong & Chaoqun Wang, 2024. "The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China," Sustainability, MDPI, vol. 16(7), pages 1-21, March.
    2. Sorrell, Steve & Lehtonen, Markku & Stapleton, Lee & Pujol, Javier & Toby Champion,, 2012. "Decoupling of road freight energy use from economic growth in the United Kingdom," Energy Policy, Elsevier, vol. 41(C), pages 84-97.
    3. Carlos Felipe Urazán-Bonells & Hugo Alexander Rondón-Quintana & Carlos Alfonso Zafra-Mejía, 2024. "Correlation between Sectoral GDP and the Values of Road Freight Transportation in Colombia," Economies, MDPI, vol. 12(8), pages 1-28, August.
    4. De Borger, Bruno & Mulalic, Ismir, 2012. "The determinants of fuel use in the trucking industry—volume, fleet characteristics and the rebound effect," Transport Policy, Elsevier, vol. 24(C), pages 284-295.
    5. Galina Ševčenko-Kozlovska & Kristina Čižiūnienė, 2022. "The Impact of Economic Sustainability in the Transport Sector on GDP of Neighbouring Countries: Following the Example of the Baltic States," Sustainability, MDPI, vol. 14(6), pages 1-26, March.
    6. Muhammad Shafique & Anam Azam & Muhammad Rafiq & Xiaowei Luo, 2020. "Evaluating the Relationship between Freight Transport, Economic Prosperity, Urbanization, and CO 2 Emissions: Evidence from Hong Kong, Singapore, and South Korea," Sustainability, MDPI, vol. 12(24), pages 1-14, December.
    7. Thomas Vanoutrive, 2011. "Modelling the link between port throughput and economic activity," ERSA conference papers ersa10p881, European Regional Science Association.
    8. Wadud, Zia, 2015. "Decomposing the drivers of aviation fuel demand using simultaneous equation models," Energy, Elsevier, vol. 83(C), pages 551-559.
    9. Gomez, Juan & Vassallo, José Manuel, 2015. "Evolution over time of heavy vehicle volume in toll roads: A dynamic panel data to identify key explanatory variables in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 282-297.
    10. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    11. Liimatainen, Heikki & Pöllänen, Markus, 2013. "The impact of sectoral economic development on the energy efficiency and CO2 emissions of road freight transport," Transport Policy, Elsevier, vol. 27(C), pages 150-157.
    12. Løvold Rødseth, Kenneth, 2017. "Productivity growth in urban freight transport: An index number approach," Transport Policy, Elsevier, vol. 56(C), pages 86-95.
    13. Carlos Scheel & Eduardo Aguiñaga & Bernardo Bello, 2020. "Decoupling Economic Development from the Consumption of Finite Resources Using Circular Economy. A Model for Developing Countries," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    14. Eom, Jiyong & Schipper, Lee & Thompson, Lou, 2012. "We keep on truckin': Trends in freight energy use and carbon emissions in 11 IEA countries," Energy Policy, Elsevier, vol. 45(C), pages 327-341.
    15. Jingxin Sun & Zhinong Li & Jiaqiang Lei & Dexiong Teng & Shengyu Li, 2018. "Study on the Relationship between Land Transport and Economic Growth in Xinjiang," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    16. Shafique, Muhammad & Azam, Anam & Rafiq, Muhammad & Luo, Xiaowei, 2021. "Investigating the nexus among transport, economic growth and environmental degradation: Evidence from panel ARDL approach," Transport Policy, Elsevier, vol. 109(C), pages 61-71.
    17. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposing the decoupling of CO2 emissions and economic growth in Brazil," Ecological Economics, Elsevier, vol. 70(8), pages 1459-1469, June.
    18. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Transport sector CO2 emissions growth in Asia: Underlying factors and policy options," Energy Policy, Elsevier, vol. 37(11), pages 4523-4539, November.
    19. Saba, Charles Shaaba, 2021. "Convergence and transition paths in transportation: Fresh insights from a club clustering algorithm," Transport Policy, Elsevier, vol. 112(C), pages 80-93.
    20. Tob-Ogu, Abiye & Kumar, Niraj & Cullen, John, 2018. "ICT adoption in road freight transport in Nigeria – A case study of the petroleum downstream sector," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 240-252.
    21. Zhilun Jiao & Muhammad Shafiullah & Usman Khalid & Malin Song & Muhammad Shahbaz, 2024. "The economic growth–travel frequency nexus in China: Importance of the transport Kuznets curve," The World Economy, Wiley Blackwell, vol. 47(3), pages 898-929, March.
    22. Ahmed, Khalid & Bhattacharya, Mita & Qazi, Ahmer Qasim & Ghumro, Niaz Ahmed, 2021. "Transport infrastructure and industrial output in Pakistan: An empirical investigation," Research in Transportation Economics, Elsevier, vol. 90(C).
    23. Mara Madaleno & Victor Moutinho, 2018. "Effects decomposition: separation of carbon emissions decoupling and decoupling effort in aggregated EU-15," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 181-198, December.
    24. Changzheng Zhu & Wenbo Du, 2019. "A Research on Driving Factors of Carbon Emissions of Road Transportation Industry in Six Asia-Pacific Countries Based on the LMDI Decomposition Method," Energies, MDPI, vol. 12(21), pages 1-19, October.
    25. Sorrell, Steve & Lehtonen, Markku & Stapleton, Lee & Pujol, Javier & Champion, Toby, 2009. "Decomposing road freight energy use in the United Kingdom," Energy Policy, Elsevier, vol. 37(8), pages 3115-3129, August.

  53. Fosgerau, Mogens, 2007. "Using nonparametrics to specify a model to measure the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 842-856, November.
    See citations under working paper version above.
  54. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    See citations under working paper version above.
  55. Fosgerau, Mogens & Bjørner, Thomas Bue, 2006. "Joint models for noise annoyance and willingness to pay for road noise reduction," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 164-178, February.

    Cited by:

    1. Sandorf, Erlend Dancke & Persson, Lars & Broberg, Thomas, 2020. "Using an integrated choice and latent variable model to understand the impact of “professional” respondents in a stated preference survey," Resource and Energy Economics, Elsevier, vol. 61(C).
    2. Aguilar, Francisco X. & Cai, Zhen, 2010. "Conjoint effect of environmental labeling, disclosure of forest of origin and price on consumer preferences for wood products in the US and UK," Ecological Economics, Elsevier, vol. 70(2), pages 308-316, December.
    3. Ewa Zawojska & Zbigniew Szkop & Mikołaj Czajkowski & Tomasz Żylicz, 2016. "Economic valuation of ecosystem services provided by the Wilanów Park: A benefit transfer study," Working Papers 2016-31, Faculty of Economic Sciences, University of Warsaw.
    4. Eboli, Laura & Mazzulla, G., 2008. "Willingness-to-pay of public transport users for improvement in service quality," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 38, pages 107-118.
    5. Agata Jazdzik-Osmolska, 2021. "Willingness to Pay for Road Safety Improvements in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 96-117.
    6. Stephane Hess & Nesha Beharry-Borg, 2012. "Accounting for Latent Attitudes in Willingness-to-Pay Studies: The Case of Coastal Water Quality Improvements in Tobago," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(1), pages 109-131, May.
    7. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component," MPRA Paper 21976, University Library of Munich, Germany, revised 08 Apr 2010.
    8. Morteza Chalak & Veronique Florec & Atakelty Hailu & Fiona Gibson & David Pannell, 2017. "Integrating non-market values in economic analyses of flood mitigation: a case study of the Brown Hill and Keswick creeks catchment in Adelaide," Working Papers 256513, University of Western Australia, School of Agricultural and Resource Economics.

  56. Fosgerau, Mogens, 2006. "Investigating the distribution of the value of travel time savings," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 688-707, September.
    See citations under working paper version above.
  57. Mogens Fosgerau, 2005. "Speed and Income," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 225-240, May.
    See citations under working paper version above.
  58. Mogens Fosgerau & Svend E. Hougaard Jensen & Anders Sørensen, 2002. "Measuring Educational Heterogeneity And Labor Quality: A Note," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(2), pages 261-269, June.

    Cited by:

    1. K L Krishna & Suresh Chand Aggarwal & Bishwanath Goldar & DEB DAS & E. Abdul Azeez & Pilu Chandra Das, 2018. "Trends and Patterns in Labour Quality in India at Sectoral Level," Working Papers id:12679, eSocialSciences.
    2. Maliranta, Mika, . "Micro Level Dynamics of Productivity Growth. An Empirical Analysis of the Great Leap in Finnish Manufacturing Productivity in 1975-2000," ETLA A, The Research Institute of the Finnish Economy, number 38, June.
    3. Guido Schwerdt & Jarkko Turunen, 2007. "Growth In Euro Area Labor Quality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(4), pages 716-734, December.
    4. Suresh Chand Aggarwal, 2007. "Labour Quality in Indian Manufacturing A State Level Analysis," Working Papers id:998, eSocialSciences.
    5. Solarin, Sakiru Adebola, 2020. "The effects of shale oil production, capital and labour on economic growth in the United States: A maximum likelihood analysis of the resource curse hypothesis," Resources Policy, Elsevier, vol. 68(C).
    6. Guido Schwerdt & Jarkko Turunen, 2007. "Changes in Human Capital: Implications for Productivity Growth in the Euro Area," ifo Working Paper Series 53, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2011. "The Importance Of Skill Measurement For Growth Accounting," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 293-305, June.
    8. K L Krishna & Suresh Aggarwal & Abdul A Erumban & Deb Kusum Das, 2016. "Structural Changes in Employment in India, 1980-2011," Working papers 262, Centre for Development Economics, Delhi School of Economics.
    9. Ravindra H. Dholakia, 2018. "Estimating Labour Quality Index for India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(1), pages 67-85, March.
    10. Shandre M. Thangavelu & Yong Yik Wei, 2006. "Aging and economic growth : issues relevant to Singapore," Labor Economics Working Papers 21821, East Asian Bureau of Economic Research.

Chapters

  1. Mogens Fosgerau, 2014. "Nonparametric approaches to describing heterogeneity," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 11, pages 257-267, Edward Elgar Publishing.

    Cited by:

    1. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    2. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    3. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.

  2. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.

    Cited by:

    1. André de Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Working Papers hal-01117732, HAL.
    2. Fosgerau, Mogens, 2015. "Congestion in the bathtub," Economics of Transportation, Elsevier, vol. 4(4), pages 241-255.
    3. Mogens Fosgerau & Kurt Van Dender, 2013. "Road pricing with complications," Transportation, Springer, vol. 40(3), pages 479-503, May.
    4. Breinbjerg, Jesper & Sebald, Alexander & Østerdal, Lars Peter, 2014. "Strategic Behavior and Social Outcomes in a Bottleneck Queue: Experimental Evidence," Discussion Papers on Economics 12/2014, University of Southern Denmark, Department of Economics.
    5. Platz, Trine Tornøe & Østerdal, Lars Peter, 2017. "The curse of the first-in–first-out queue discipline," Games and Economic Behavior, Elsevier, vol. 104(C), pages 165-176.
    6. Ling-Ling Xiao & Tian-Liang Liu & Hai-Jun Huang, 2021. "Tradable permit schemes for managing morning commute with carpool under parking space constraint," Transportation, Springer, vol. 48(4), pages 1563-1586, August.
    7. Robin Lindsey & André de Palma & Hugo Silva, 2018. "Equilibrium in a dynamic model of congestion with large and small users," Working Papers hal-01760135, HAL.
    8. Fosgerau, Mogens & de Palma, André, 2013. "The dynamics of urban traffic congestion and the price of parking�," MPRA Paper 48433, University Library of Munich, Germany.
    9. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    10. Berliant, Marcus, 2023. "Commuting and internet traffic congestion," MPRA Paper 119590, University Library of Munich, Germany.
    11. Fosgerau, Mogens & Engelson, Leonid & Franklin, Joel P., 2014. "Commuting for meetings," Journal of Urban Economics, Elsevier, vol. 81(C), pages 104-113.
    12. Liu, Wei & Yin, Yafeng & Yang, Hai, 2015. "Effectiveness of variable speed limits considering commuters’ long-term response," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 498-519.
    13. Fosgerau, Mogens & de Palma, André, 2013. "The dynamics of urban traffic congestion and the price of parking," Journal of Public Economics, Elsevier, vol. 105(C), pages 106-115.
    14. Fosgerau, Mogens & Kim, Jinwon, 2019. "Commuting and land use in a city with bottlenecks: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 182-204.
    15. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    16. Lindsey, Robin, 2012. "Road pricing and investment," Economics of Transportation, Elsevier, vol. 1(1), pages 49-63.
    17. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    18. Hugo Emilio Silva & Robin Lindsey & André de Palma & Vincent A.C. van den Berg, 2014. "On the Existence and Uniqueness of Equilibrium in the Bottleneck Model with Atomic Users," Tinbergen Institute Discussion Papers 14-077/VIII, Tinbergen Institute.

  3. Mogens Fosgerau, 2002. "PETRA — An Activity-based Approach to Travel Demand Analysis," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson (ed.), National Transport Models, chapter 11, pages 134-145, Springer.

    Cited by:

    1. Staffan Algers & Jonas Eliasson & Lars-Göran Mattsson, 2001. "Activity-based model development to support transport planning in the Stockholm region," ERSA conference papers ersa01p19, European Regional Science Association.
    2. Theo Arentze & Harry Timmermans, 2002. "Modeling the Formation of Activity Agendas Using Reactive Agents," Environment and Planning B, , vol. 29(5), pages 719-728, October.

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