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Jonathan Daines Hall

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. Brodeur, Abel & Mikola, Derek & Cook, Nikolai & Brailey, Thomas & Briggs, Ryan & de Gendre, Alexandra & Dupraz, Yannick & Fiala, Lenka & Gabani, Jacopo & Gauriot, Romain & Haddad, Joanne & McWay, Ryan, 2024. "Mass Reproducibility and Replicability: A New Hope," I4R Discussion Paper Series 107, The Institute for Replication (I4R).

    Mentioned in:

    1. 350+ coauthors study reproducibility in economics
      by ? in Marginal Revolution on 2024-04-08 06:49:37
    2. Excellente initiative grenobloise sur la réplication de données publiées en économie : à généraliser aux autres sciences ?
      by ? in Revues et intégrité on 2024-07-26 04:00:41

Working papers

  1. Brodeur, Abel & Mikola, Derek & Cook, Nikolai & Brailey, Thomas & Briggs, Ryan & de Gendre, Alexandra & Dupraz, Yannick & Fiala, Lenka & Gabani, Jacopo & Gauriot, Romain & Haddad, Joanne & McWay, Ryan, 2024. "Mass Reproducibility and Replicability: A New Hope," I4R Discussion Paper Series 107, The Institute for Replication (I4R).

    Cited by:

    1. Oswald, Christian & Walterskirchen, Julian, 2024. "Computational and Robustness Reproducibility of "UN Peacekeeping and Democratization in Conflict-Affected Countries"," I4R Discussion Paper Series 138, The Institute for Replication (I4R).
    2. Chuang, Shih-Hsien & Holian, Matthew & Pattison, Nathaniel & Ramakrishnan, Prasanthi, 2024. "A Comment on "Populist Leaders and the Economy"," I4R Discussion Paper Series 157, The Institute for Replication (I4R).
    3. Evaluator 1, 2024. "Evaluation 1 of The Long-Run Effects of Psychotherapy on Depression, Beliefs, and Economic Outcomes," The Unjournal Evaluations 2024-41, The Unjournal.
    4. Clerc, Melchior & Gosselin-Pali, Adrien & Wendling, Eliot, 2024. "A Replication of Macchi (2023): "Worth Your Weight: Experimental Evidence on the Benefits of Obesity in Low-Income Countries"," I4R Discussion Paper Series 145, The Institute for Replication (I4R).

  2. Ian Fillmore & Jonathan Hall, 2021. "Technological Change and Obsolete Skills: Evidence from Men's Professional Tennis," Working Papers 2021-029, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. Albinowski, Maciej & Lewandowski, Piotr, 2022. "The Impact of ICT and Robots on Labour Market Outcomes of Demographic Groups in Europe," IZA Discussion Papers 15752, Institute of Labor Economics (IZA).

  3. Jonathan D. Hall & Craig Palsson & Joseph Price, 2017. "Is Uber a substitute or complement for public transit?," Working Papers tecipa-585, University of Toronto, Department of Economics.

    Cited by:

    1. Li,Shanjun & Xing,Jianwei & Yang,Lin & Zhang,Fan, 2020. "Transportation and the Environment : A Review of Empirical Literature," Policy Research Working Paper Series 9421, The World Bank.
    2. Sasan Bakhtiari, 2023. "Growing by outsourcing: a tale of two growths," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 411-439, May.
    3. Peter Christensen & Adam Osman, 2023. "The Demand for Mobility: Evidence from an Experiment with Uber Riders," NBER Working Papers 31330, National Bureau of Economic Research, Inc.
    4. Mason Dyana P. & Menard Miranda, 2022. "Accessibility of Nonprofit Services: Transportation Network Companies and Client Mobility," Nonprofit Policy Forum, De Gruyter, vol. 13(4), pages 333-343, October.
    5. Shi, Xiaoyang & Li, Zhengquan & Xia, Enjun, 2021. "The impact of ride-hailing and shared bikes on public transit: Moderating effect of the legitimacy," Research in Transportation Economics, Elsevier, vol. 85(C).
    6. Sumit Agarwal & Shashwat Alok & Sergio Correia & Deepa Mani & Bernardo Morais, 2024. "Transportation Technology and Gentrification: Evidence from the entry of Ridesharing Services," Papers 2409.15462, arXiv.org.
    7. Giller, James & Compostella, Junia & Iogansen, Xiatian & Young, Mischa & Circella, Giovanni, 2024. "Barriers to Reducing the Carbon Footprint of Transportation Part 1: Support to the Clean Miles Standard Policy Making," Institute of Transportation Studies, Working Paper Series qt1x6982gf, Institute of Transportation Studies, UC Davis.
    8. Liu, Feiqi & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2019. "Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation," Energy Policy, Elsevier, vol. 132(C), pages 462-473.
    9. Palsson, Craig, 2017. "Smartphones and child injuries," Journal of Public Economics, Elsevier, vol. 156(C), pages 200-213.
    10. Gurumurthy, Krishna Murthy & Kockelman, Kara M., 2022. "Dynamic ride-sharing impacts of greater trip demand and aggregation at stops in shared autonomous vehicle systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 114-125.
    11. Ziru Li & Chen Liang & Yili Hong & Zhongju Zhang, 2022. "How Do On‐demand Ridesharing Services Affect Traffic Congestion? The Moderating Role of Urban Compactness," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 239-258, January.
    12. Meredith-Karam, Patrick & Kong, Hui & Wang, Shenhao & Zhao, Jinhua, 2021. "The relationship between ridehailing and public transit in Chicago: A comparison before and after COVID-19," Journal of Transport Geography, Elsevier, vol. 97(C).
    13. Nair, Gopindra S. & Bhat, Chandra R. & Batur, Irfan & Pendyala, Ram M. & Lam, William H.K., 2020. "A model of deadheading trips and pick-up locations for ride-hailing service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 289-308.
    14. Young, Mischa & Farber, Steven, 2019. "The Who, Why, and When of Uber and other Ride-hailing Trips: An Examination of a Large Sample Household Travel Survey," OSF Preprints x7ryj, Center for Open Science.
    15. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    16. Yang, Hai & Qin, Xiaoran & Ke, Jintao & Ye, Jieping, 2020. "Optimizing matching time interval and matching radius in on-demand ride-sourcing markets," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 84-105.
    17. Young, Mischa & Allen, Jeff & Farber, Steven, 2019. "Measuring when Uber behaves as a substitute or complement to transit: An examination of travel-time differences in Toronto," OSF Preprints hvbma, Center for Open Science.
    18. Martin, Rebecca & Xu, Yilan, 2022. "Is tech-enhanced bikeshare a substitute or complement for public transit?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 63-78.
    19. Eleftheria Kontou & Noreen McDonald, 2021. "Associating ridesourcing with road safety outcomes: Insights from Austin, Texas," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-18, March.
    20. Teltser, Keith & Lennon, Conor & Burgdorf, Jacob, 2021. "Do ridesharing services increase alcohol consumption?," Journal of Health Economics, Elsevier, vol. 77(C).
    21. Simon J. Berrebi & Kari E. Watkins, 2020. "Whos Ditching the Bus?," Papers 2001.02200, arXiv.org, revised Mar 2020.
    22. Ronit Purian & Daniel Polani, 2023. "Spatial, Social and Data Gaps in On-Demand Mobility Services: Towards a Supply-Oriented MaaS," Papers 2303.03881, arXiv.org.
    23. John S. Heywood & Bryan Weber, 2019. "University-provided transit and crime in an urban neighborhood," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 467-495, June.
    24. Erhardt, Gregory D. & Hoque, Jawad Mahmud & Goyal, Vedant & Berrebi, Simon & Brakewood, Candace & Watkins, Kari E., 2022. "Why has public transit ridership declined in the United States?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 68-87.
    25. Rezwana Rafiq & Michael G. McNally, 2023. "An exploratory analysis of alternative travel behaviors of ride-hailing users," Transportation, Springer, vol. 50(2), pages 571-605, April.
    26. Noli Brazil & David Kirk, 2020. "Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-11, September.
    27. Mishal Ahmed & Erik Johnson & Byung-Cheol Kim, 2018. "The Impact of Uber and Lyft on Taxi Service Quality: Evidence from New York City," Working Papers 18-16, NET Institute.
    28. Junhong Chu & Yige Duan & Xianling Yang & Li Wang, 2021. "The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium," Management Science, INFORMS, vol. 67(1), pages 297-316, January.
    29. Soria, Jason & Stathopoulos, Amanda, 2021. "Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities," Journal of Transport Geography, Elsevier, vol. 95(C).
    30. Rui Yao & Shlomo Bekhor, 2021. "A Dynamic Tree Algorithm for Peer-to-Peer Ridesharing Matching," Networks and Spatial Economics, Springer, vol. 21(4), pages 801-837, December.
    31. Brown, Anne, 2022. "Not all fees are created equal: Equity implications of ride-hail fee structures and revenues," Transport Policy, Elsevier, vol. 125(C), pages 1-10.
    32. Prateek Bansal & Akanksha Sinha & Rubal Dua & Ricardo Daziano, 2019. "Eliciting Preferences of Ridehailing Users and Drivers: Evidence from the United States," Papers 1904.06695, arXiv.org.
    33. Barajas, Jesus M. & Brown, Anne, 2021. "Not minding the gap: Does ride-hailing serve transit deserts?," Journal of Transport Geography, Elsevier, vol. 90(C).
    34. Chalermpong, Saksith & Ratanawaraha, Apiwat & Anuchitchanchai, Ornicha, 2023. "Motorcycle taxis' varying degrees of complementarity and substitution with public transit in Bangkok," Journal of Transport Geography, Elsevier, vol. 108(C).
    35. Peace, Joseph & Sweet, Matthias & Scott, Darren M., 2023. "Why do planners do what they do? and what are the implications? Guidance from on-demand ride-hailing policy in Toronto and Vancouver, Canada," Transport Policy, Elsevier, vol. 143(C), pages 72-82.
    36. Yao, Di & Xu, Liqun & Li, Jinpei, 2020. "Does technical efficiency play a mediating role between bus facility scale and ridership attraction? Evidence from bus practices in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 77-96.
    37. Zou, Zhenpeng & Cirillo, Cinzia, 2021. "Does ridesourcing impact driving decisions: A survey weighted regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 1-12.
    38. Dean, Matthew D. & Kockelman, Kara M., 2021. "Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago," Journal of Transport Geography, Elsevier, vol. 91(C).
    39. Qing Shen & Yiyuan Wang & Casey Gifford, 2021. "Exploring partnership between transit agency and shared mobility company: an incentive program for app-based carpooling," Transportation, Springer, vol. 48(5), pages 2585-2603, October.
    40. Kong, Hui & Zhang, Xiaohu & Zhao, Jinhua, 2020. "How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China," Journal of Transport Geography, Elsevier, vol. 86(C).
    41. Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    42. Martin, Elliot PhD & Shaheen, Susan PhD & Stocker, Adam, 2021. "Impacts of Transportation Network Companies on Vehicle Miles Traveled, Greenhouse Gas Emissions, and Travel Behavior Analysis from the Washington D.C., Los Angeles, and San Francisco Markets," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt90b6d7r3, Institute of Transportation Studies, UC Berkeley.
    43. Maximilian Schäfer & Kevin Ducbao Tran, 2020. "Airbnb, Hotels, and Localized Competition," Discussion Papers of DIW Berlin 1889, DIW Berlin, German Institute for Economic Research.
    44. Berrebi, Simon J. & Watkins, Kari E., 2020. "Who’s ditching the bus?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 21-34.
    45. Aguilera-García, Álvaro & Gomez, Juan & Velázquez, Guillermo & Vassallo, Jose Manuel, 2022. "Ridesourcing vs. traditional taxi services: Understanding users’ choices and preferences in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 161-178.
    46. Wenting Li & Amer Shalaby & Khandker Nurul Habib, 2022. "Exploring the correlation between ride-hailing and multimodal transit ridership in toronto," Transportation, Springer, vol. 49(3), pages 765-789, June.
    47. Leard, Benjamin & Xing, Jianwei, 2020. "What Does Ridesharing Replace?," RFF Working Paper Series 20-03, Resources for the Future.
    48. Tri Basuki Joewono & Ariel Matthew & Muhamad Rizki, 2021. "Loyalty of Paratransit Users in the Era of Competition with Ride Sourcing," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    49. Tan, Karen Pei-Sze & Yang, Yang & Li, Xiang (Robert), 2022. "Catching a ride in the peer-to-peer economy: Tourists’ acceptance and use of ridesharing services before and during the COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 151(C), pages 504-518.
    50. Xiatian Wu & Don MacKenzie, 2022. "The evolution, usage and trip patterns of taxis & ridesourcing services: evidence from 2001, 2009 & 2017 US National Household Travel Survey," Transportation, Springer, vol. 49(1), pages 293-311, February.
    51. Istiak Ahmad & Fahad Alqurashi & Ehab Abozinadah & Rashid Mehmood, 2022. "Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation," Sustainability, MDPI, vol. 14(9), pages 1-72, May.
    52. John M. Barrios & Yael V. Hochberg & Hanyi Yi, 2020. "Launching with a Parachute: The Gig Economy and New Business Formation," NBER Working Papers 27183, National Bureau of Economic Research, Inc.
    53. Jindong Pang & Shulin Shen, 2023. "Do ridesharing services cause traffic congestion?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(2), pages 520-552, May.
    54. 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).
    55. Alejandro Tirachini, 2020. "Ride-hailing, travel behaviour and sustainable mobility: an international review," Transportation, Springer, vol. 47(4), pages 2011-2047, August.
    56. Yu, Chengcheng & Dong, Wentao & Liu, Yunhao & Yang, Chao & Yuan, Quan, 2024. "Rethinking bus ridership dynamics: Examining nonlinear effects of determinants on bus ridership changes using city-level panel data from 2010 to 2019," Transport Policy, Elsevier, vol. 151(C), pages 85-100.
    57. Muhammad Zudhy Irawan & Prawira Fajarindra Belgiawan & Ari Krisna Mawira Tarigan & Fajar Wijanarko, 2020. "To compete or not compete: exploring the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta metropolitan area," Transportation, Springer, vol. 47(5), pages 2367-2389, October.
    58. Barajas, Jesus & Brown, Anne, 2020. "Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?," SocArXiv y4jwk, Center for Open Science.
    59. Gao, Jing & Li, Sen, 2024. "Regulating for-hire autonomous vehicles for an equitable multimodal transportation network," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    60. Lee, Yongsung & Lee, Bumsoo, 2022. "What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 126-143.
    61. Young, Mischa & Allen, Jeff & Farber, Steven, 2020. "Measuring when Uber behaves as a substitute or supplement to transit: An examination of travel-time differences in Toronto," Journal of Transport Geography, Elsevier, vol. 82(C).
    62. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    63. 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).
    64. Henao, Alejandro & Marshall, Wesley E., 2019. "An analysis of the individual economics of ride-hailing drivers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 440-451.
    65. Tirachini, Alejandro & del Río, Mariana, 2019. "Ride-hailing in Santiago de Chile: Users’ characterisation and effects on travel behaviour," Transport Policy, Elsevier, vol. 82(C), pages 46-57.
    66. Ngo, Nicole S. & Götschi, Thomas & Clark, Benjamin Y., 2021. "The effects of ride-hailing services on bus ridership in a medium-sized urban area using micro-level data: Evidence from the Lane Transit District," Transport Policy, Elsevier, vol. 105(C), pages 44-53.
    67. Kuang, Zhonghong & Lian, Zeng & Lien, Jaimie W. & Zheng, Jie, 2020. "Serial and parallel duopoly competition in multi-segment transportation routes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    68. Brown, Anne, 2021. "Not All Fees are Created Equal: Equity Implications of Ride-hail Fee Structures," OSF Preprints cpsqu, Center for Open Science.
    69. Rick Grahn & Sean Qian & H. Scott Matthews & Chris Hendrickson, 2021. "Are travelers substituting between transportation network companies (TNC) and public buses? A case study in Pittsburgh," Transportation, Springer, vol. 48(2), pages 977-1005, April.
    70. Willis, George & Tranos, Emmanouil, 2020. "Using ‘Big Data’ to understand the impacts of Uber on taxis in New York City," SocArXiv 25fxs, Center for Open Science.
    71. Tyndall, Justin, 2022. "Complementarity of dockless mircomobility and rail transit," Journal of Transport Geography, Elsevier, vol. 103(C).
    72. Sigma Dolins & Helena Strömberg & Yale Z. Wong & MariAnne Karlsson, 2021. "Sharing Anxiety Is in the Driver’s Seat: Analyzing User Acceptance of Dynamic Ridepooling and Its Implications for Shared Autonomous Mobility," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    73. Li, Shanjun & Wang, Binglin & Zhou, Hui, 2024. "Decarbonizing passenger transportation in developing countries: Lessons and perspectives1," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    74. Conor Lennon & Johanna Catherine Maclean & Keith F. Teltser, 2024. "Ridesharing and Substance Use Disorder Treatment," NBER Working Papers 33077, National Bureau of Economic Research, Inc.
    75. Kyung Sun (Melissa) Rhee & Jinyang Zheng & Youwei Wang & Yong Tan, 2023. "Value of Information Sharing via Ride-Hailing Apps: An Empirical Analysis," Information Systems Research, INFORMS, vol. 34(3), pages 1228-1244, September.
    76. Oded Cats & Rafal Kucharski & Santosh Rao Danda & Menno Yap, 2022. "Beyond the dichotomy: How ride-hailing competes with and complements public transport," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    77. Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2020. "Using machine learning for direct demand modeling of ridesourcing services in Chicago," Journal of Transport Geography, Elsevier, vol. 83(C).
    78. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest: A rejoinder," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 564-566.
    79. Huang, Naqun & Lien, Jaimie W. & Zheng, Jie, 2023. "To acquire or compete? Government intervention in transportation under different route structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    80. Young, Mischa & Farber, Steven, 2019. "The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 383-392.
    81. Nael Alsaleh & Bilal Farooq & Yixue Zhang & Steven Farber, 2021. "On-Demand Transit User Preference Analysis using Hybrid Choice Models," Papers 2102.08256, arXiv.org, revised Aug 2023.
    82. Adam Millard-Ball & Liwei Liu & Whitney Hansen & Drew Cooper & Joe Castiglione, 2023. "Where ridehail drivers go between trips," Transportation, Springer, vol. 50(5), pages 1959-1981, October.
    83. Li, Yuanyuan & Liu, Yang & Xie, Jun, 2020. "A path-based equilibrium model for ridesharing matching," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 373-405.
    84. Yoshifumi Konishi & Akari Ono, 2024. "Is Ride-sharing Good for Environment?," Keio-IES Discussion Paper Series 2024-014, Institute for Economics Studies, Keio University.
    85. Lam, Chungsang Tom & Liu, Meng & Hui, Xiang, 2021. "The geography of ridesharing: A case study on New York City," Information Economics and Policy, Elsevier, vol. 57(C).
    86. Berrebi, Simon J. & Joshi, Sanskruti & Watkins, Kari E., 2021. "On bus ridership and frequency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 140-154.
    87. Pengyu Zhu & Jiarong Li & Kailai Wang & Jie Huang, 2024. "Exploring spatial heterogeneity in the impact of built environment on taxi ridership using multiscale geographically weighted regression," Transportation, Springer, vol. 51(5), pages 1963-1997, October.
    88. Nejc Geržinič & Niels Oort & Sascha Hoogendoorn-Lanser & Oded Cats & Serge Hoogendoorn, 2023. "Potential of on-demand services for urban travel," Transportation, Springer, vol. 50(4), pages 1289-1321, August.
    89. Yash Babar & Gordon Burtch, 2020. "Examining the Heterogeneous Impact of Ride-Hailing Services on Public Transit Use," Information Systems Research, INFORMS, vol. 31(3), pages 820-834, September.
    90. Zhou, You, 2020. "Ride-sharing, alcohol consumption, and drunk driving," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    91. Handy, Susan, 2020. "What California Gains from Reducing Car Dependence," Institute of Transportation Studies, Working Paper Series qt0hk0h610, Institute of Transportation Studies, UC Davis.
    92. Cloud, Cannon & Heß, Simon & Kasinger, Johannes, 2023. "Shared e-scooter services and road safety: Evidence from six European countries," European Economic Review, Elsevier, vol. 160(C).
    93. Wang, Zhiqi & Zhang, Yufeng & Jia, Bin & Gao, Ziyou, 2024. "Comparative Analysis of Usage Patterns and Underlying Determinants for Ride-hailing and Traditional Taxi Services: A Chicago Case Study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    94. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    95. Jing Gao & Sen Li, 2023. "Regulating For-Hire Autonomous Vehicles for An Equitable Multimodal Transportation Network," Papers 2301.05798, arXiv.org, revised Oct 2023.
    96. Malalgoda, Narendra & Lim, Siew Hoon, 2023. "Online shopping, brick-and-mortar retailers and transit ridership in the U.S," Research in Transportation Economics, Elsevier, vol. 102(C).
    97. Eleftheria Kontou & Noreen C. McDonald, 2020. "Associating Ridesourcing with Road Safety Outcomes: Insights from Austin Texas," Papers 2001.03461, arXiv.org, revised Feb 2021.
    98. Lu Ling & Xinwu Qian & Satish V. Ukkusuri, 2023. "Impact of Transportation Network Companies on Labor Supply and Wages for Taxi Drivers," Papers 2307.13620, arXiv.org.
    99. Hossain Mohiuddin, 2021. "Planning for the First and Last Mile: A Review of Practices at Selected Transit Agencies in the United States," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    100. Daniel Oviedo & Isabel Granada & Daniel Perez-Jaramillo, 2020. "Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogotá," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
    101. John M. Barrios & Yael V. Hochberg & Hanyi Yi, 2020. "Launching with a Parachute: The Gig Economy and Entrepreneurial Entry," Working Papers 2020-21, Becker Friedman Institute for Research In Economics.
    102. Malalgoda, Narendra & Lim, Siew Hoon, 2019. "Do transportation network companies reduce public transit use in the U.S.?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 351-372.
    103. Quirós, Cipriano & Portela, Javier & Marín, Raquel, 2021. "Differentiated models in the collaborative transport economy: A mixture analysis for Blablacar and Uber," Technology in Society, Elsevier, vol. 67(C).
    104. Ying Chen & Paul Cheshire & Xiangqing Wang & You-Sin Wang, 2024. "Valuing consumption services as technology transforms accessibility: Evidence from Beijing," CEP Discussion Papers dp2031, Centre for Economic Performance, LSE.
    105. Xiaoxia Dong & Erick Guerra & Ricardo A. Daziano, 2022. "Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia," Transportation, Springer, vol. 49(6), pages 1577-1597, December.
    106. Rick Grahn & Corey D. Harper & Chris Hendrickson & Zhen Qian & H. Scott Matthews, 2020. "Socioeconomic and usage characteristics of transportation network company (TNC) riders," Transportation, Springer, vol. 47(6), pages 3047-3067, December.
    107. Nur Oktaviani Widiastuti & Muhammad Zudhy Irawan, 2024. "Ride-Hailing Preferences for First- and Last-Mile Connectivity at Intercity Transit Hubs," Sustainability, MDPI, vol. 16(7), pages 1-20, April.
    108. Xavier Fageda, 2021. "Measuring the impact of ride‐hailing firms on urban congestion: The case of Uber in Europe," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1230-1253, October.
    109. Qiao, Si & Yeh, Anthony Gar-On, 2021. "Is ride-hailing a valuable means of transport in newly developed areas under TOD-oriented urbanization in China? Evidence from Chengdu City," Journal of Transport Geography, Elsevier, vol. 96(C).
    110. 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).
    111. Simon Berrebi & Sanskruti Joshi & Kari E Watkins, 2020. "On Ridership and Frequency," Papers 2002.02493, arXiv.org, revised Apr 2021.
    112. Weschke, Jan, 2023. "Scooting when the metro arrives — Estimating the impact of public transport stations on shared e-scooter demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    113. Barreto, Yuri & Silveira Neto, Raul da Mota & Carazza, Luis, 2021. "Uber and traffic safety: Evidence from Brazilian cities," Journal of Urban Economics, Elsevier, vol. 123(C).
    114. Michael Manville & Brian D. Taylor & Evelyn Blumenberg & Andrew Schouten, 2023. "Vehicle access and falling transit ridership: evidence from Southern California," Transportation, Springer, vol. 50(1), pages 303-329, February.
    115. Alina Garnham & Derek G. Stacey, 2022. "Fighting for Fares: Uber and the Declining Market Price of Licensed Taxicabs," Working Paper 1487, Economics Department, Queen's University.
    116. Chen, Xiaoqi & Li, Weiping & Torsin, Wouter & Tsang, Albert, 2024. "Dividend policy under mandatory ESG reporting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    117. Leon S. Moskatel & David J.G. Slusky, 2017. "Did UberX Reduce Ambulance Volume?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201708, University of Kansas, Department of Economics, revised Oct 2017.
    118. Fayed, Lynn & Nilsson, Gustav & Geroliminis, Nikolas, 2023. "On the utilization of dedicated bus lanes for pooled ride-hailing services," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 29-52.
    119. Muhamad Rizki & Tri Basuki Joewono & Dimas Bayu Endrayana Dharmowijoyo & Dwi Prasetyanto, 2021. "The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    120. David R. Agrawal & Weihua Zhao, 2023. "Taxing Uber," CESifo Working Paper Series 10313, CESifo.
    121. Morris, Eric A. & Zhou, Ying & Brown, Anne E. & Khan, Sakib M. & Derochers, John L. & Campbell, Harry & Pratt, Angela N. & Chowdhury, Mashrur, 2020. "Are drivers cool with pool? Driver attitudes towards the shared TNC services UberPool and Lyft Shared," Transport Policy, Elsevier, vol. 94(C), pages 123-138.
    122. Oke, Jimi B. & Akkinepally, Arun Prakash & Chen, Siyu & Xie, Yifei & Aboutaleb, Youssef M. & Azevedo, Carlos Lima & Zegras, P. Christopher & Ferreira, Joseph & Ben-Akiva, Moshe, 2020. "Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 98-126.
    123. Alsaleh, Nael & Farooq, Bilal & Zhang, Yixue & Farber, Steven, 2023. "On-demand transit user preference analysis using hybrid choice models," Journal of choice modelling, Elsevier, vol. 49(C).
    124. Itani, Alaa & Klumpenhouwer, Willem & Shalaby, Amer & Hemily, Brendon, 2024. "Guiding principles for integrating on-demand transit into conventional transit networks: A review of literature and practice," Transport Policy, Elsevier, vol. 147(C), pages 183-197.
    125. Yuan Liang & Bingjie Yu & Xiaojian Zhang & Yi Lu & Linchuan Yang, 2022. "The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago," Papers 2207.01793, arXiv.org, revised Feb 2023.
    126. Bucsky, Péter, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest: A comment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 560-563.
    127. Tanto Adi Waluyo & Muhammad Zudhy Irawan & Dewanti, 2022. "Adopting Electric Motorcycles for Ride-Hailing Services: Influential Factors from Driver’s Perspective," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    128. Liang, Yuan & Yu, Bingjie & Zhang, Xiaojian & Lu, Yi & Yang, Linchuan, 2023. "The short-term impact of congestion taxes on ridesourcing demand and traffic congestion: Evidence from Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    129. John M. Barrios & Yael Hochberg & Hanyi Yi, 2020. "The Cost of Convenience: Ridehailing and Traffic Fatalities," NBER Working Papers 26783, National Bureau of Economic Research, Inc.
    130. Yang Pan & Liangfei Qiu, 2022. "How Ride‐Sharing Is Shaping Public Transit System: A Counterfactual Estimator Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 906-927, March.
    131. Stuart S. Rosenthal & William C. Strange, 2020. "How Close Is Close? The Spatial Reach of Agglomeration Economies," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 27-49, Summer.
    132. Maria Vega-Gonzalo & Álvaro Aguilera-García & Juan Gomez & José Manuel Vassallo, 2024. "Traditional taxi, e-hailing or ride-hailing? A GSEM approach to exploring service adoption patterns," Transportation, Springer, vol. 51(4), pages 1239-1278, August.
    133. Hasnine, Md Sami & Hawkins, Jason & Habib, Khandker Nurul, 2021. "Effects of built environment and weather on demands for transportation network company trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 171-185.
    134. Tang, Jinjun & Gao, Fan & Han, Chunyang & Cen, Xuekai & Li, Zhitao, 2021. "Uncovering the spatially heterogeneous effects of shared mobility on public transit and taxi," Journal of Transport Geography, Elsevier, vol. 95(C).
    135. Yiyuan Wang & Qing Shen, 2024. "A latent class analysis to understand riders’ adoption of on-demand mobility services as a complement to transit," Transportation, Springer, vol. 51(3), pages 1043-1061, June.
    136. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    137. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    138. Alonso-González, María J. & Hoogendoorn-Lanser, Sascha & van Oort, Niels & Cats, Oded & Hoogendoorn, Serge, 2020. "Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 378-401.
    139. Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022. "Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Papers 2204.01974, arXiv.org.
    140. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    141. Alejandro Tirachini & Andres Gomez-Lobo, 2017. "Estabilidad Macroeconómica y Crecimiento Económico: Mitos y Realidades," Working Papers wp457, University of Chile, Department of Economics.

  4. Jonathan D. Hall, 2017. "Improving the fit of structural models of congestion," Working Papers tecipa-590, University of Toronto, Department of Economics.

    Cited by:

    1. 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.
    2. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.

  5. Jonathan D. Hall, 2015. "Pareto Improvements from Lexus Lanes: The effects of pricing a portion of the lanes on congested highways," Working Papers tecipa-548, University of Toronto, Department of Economics.

    Cited by:

    1. Jonathan E. Hughes & Daniel Kaffine, 2019. "When Should Drivers Be Encouraged To Carpool In Hov Lanes?," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 667-684, January.
    2. Yangbeibei Ji & Xueqing Lu & Hanwan Jiang & Xinyang Zhu & Jiao Wang, 2022. "Layout Optimization for Shared Parking Spaces Considering Shared Parking Walking Time and Parking Fee," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    3. de Palma, André & Lindsey, Robin, 2020. "Tradable permit schemes for congestible facilities with uncertain supply and demand," Economics of Transportation, Elsevier, vol. 21(C).
    4. 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).
    5. Kominers, Scott Duke & Teytelboym, Alexander & Crawford, Vincent P, 2017. "An invitation to market design," University of California at San Diego, Economics Working Paper Series qt3xp2110t, Department of Economics, UC San Diego.
    6. Antonio Russo & Martin W. Adler & Federica Liberini & Jos N. van Ommeren, 2019. "Welfare Losses of Road Congestion," CESifo Working Paper Series 7693, CESifo.
    7. Boffa, Federico & Fedele, Alessandro & Iozzi, Alberto, 2023. "Congestion and incentives in the age of driverless fleets," Journal of Urban Economics, Elsevier, vol. 137(C).
    8. Proost, Stef & Thisse, Jacques-François, 2019. "What can be learned from spatial economics?," LIDAM Reprints CORE 3089, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Moshe Babaioff & Ruty Mundel & Noam Nisan, 2021. "Beyond Pigouvian Taxes: A Worst Case Analysis," Papers 2107.12023, arXiv.org, revised Sep 2021.
    10. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
    11. Vincent A.C. van den Berg & Erik T. Verhoef, 2015. "Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity," Tinbergen Institute Discussion Papers 15-062/VIII, Tinbergen Institute, revised 11 Jul 2016.
    12. Tassinari, Filippo, 2024. "Low emission zones and traffic congestion: Evidence from Madrid Central," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    13. Anderson, Michael L. & Davis, Lucas W., 2020. "An empirical test of hypercongestion in highway bottlenecks," Journal of Public Economics, Elsevier, vol. 187(C).
    14. Budish, Eric B. & Lee, Robin S. & Shim, John J., 2020. "A Theory of Stock Exchange Competition and Innovation: Will the Market Fix the Market?," Working Papers 301, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    15. James M. Sallee, 2019. "Pigou Creates Losers: On the Implausibility of Achieving Pareto Improvements from Efficiency-Enhancing Policies," NBER Working Papers 25831, National Bureau of Economic Research, Inc.
    16. Xinying Fu & Vincent A.C. van den Berg & Erik T. Verhoef, 2017. "Private Road Supply in Networks with Heterogeneous Users," Tinbergen Institute Discussion Papers 17-025/VIII, Tinbergen Institute, revised 12 Dec 2017.
    17. 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.
    18. Russo, Antonio & Adler, Martin W. & Liberini, Federica & van Ommeren, Jos N., 2021. "Welfare losses of road congestion: Evidence from Rome," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    19. Liu, Yang & Nie, Yu (Marco) & Hall, Jonathan, 2015. "A semi-analytical approach for solving the bottleneck model with general user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 56-70.
    20. 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.
    21. Nicholas Buchholz & Laura Doval & Jakub Kastl & Filip Matejka & Tobias Salz, 2022. "The Value of Time: Evidence from Auctioned Cab Rides," Working Papers 2022-22, Princeton University. Economics Department..
    22. 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.
    23. Nicholas Janusch & Stephan Kroll & Christopher Goemans & Todd L. Cherry & Steffen Kallbekken, 2021. "Learning to accept welfare-enhancing policies: an experimental investigation of congestion pricing," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 59-86, March.
    24. 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.
    25. 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.
    26. Vincent A.C. van den Berg, 2013. "Coarse Tolling with Heterogeneous Preferences," Tinbergen Institute Discussion Papers 13-120/VIII, Tinbergen Institute, revised 20 Dec 2013.
    27. 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.
    28. Michael L. Anderson & Lucas W. Davis, 2018. "Two Empirical Tests of Hypercongestion," NBER Working Papers 24469, National Bureau of Economic Research, Inc.
    29. 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.
    30. Luyao Zhang & Fan Zhang, 2023. "Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective," Papers 2305.02552, arXiv.org.
    31. David R. Agrawal & Weihua Zhao, 2023. "Taxing Uber," CESifo Working Paper Series 10313, CESifo.
    32. Xiaojuan Yu & Vincent A.C. van den Berg & Erik T. Verhoef, 2024. "Preference heterogeneity in a dynamic flow congestion model," Tinbergen Institute Discussion Papers 24-025/VIII, Tinbergen Institute.
    33. van den Berg, Vincent A.C., 2024. "Self-financing roads under coarse tolling and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    34. Hall, Jonathan D. & Savage, Ian, 2019. "Tolling roads to improve reliability," Journal of Urban Economics, Elsevier, vol. 113(C).
    35. 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).
    36. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    37. Durrmeyer, Isis & Martinez, Nicolas, 2022. "The Welfare Consequences of Urban Traffic Regulations," TSE Working Papers 22-1378, Toulouse School of Economics (TSE).
    38. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.

Articles

  1. Fillmore, Ian & Hall, Jonathan D., 2021. "Technological change and obsolete skills: Evidence from men’s professional tennis," Labour Economics, Elsevier, vol. 73(C).
    See citations under working paper version above.
  2. Jonathan D Hall, 2021. "Can Tolling Help Everyone? Estimating the Aggregate and Distributional Consequences of Congestion Pricing," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 441-474.

    Cited by:

    1. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819, February.
    2. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Boffa, Federico & Fedele, Alessandro & Iozzi, Alberto, 2023. "Congestion and incentives in the age of driverless fleets," Journal of Urban Economics, Elsevier, vol. 137(C).
    4. Russo, Antonio & Adler, Martin W. & Liberini, Federica & van Ommeren, Jos N., 2021. "Welfare losses of road congestion: Evidence from Rome," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    5. Ariel Goldszmidt & John A. List & Robert D. Metcalfe & Ian Muir & V. Kerry Smith & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," Working Papers 2020-179, Becker Friedman Institute for Research In Economics.
    6. 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).
    7. Salgado, Edgar & Mitnik, Oscar A., 2021. "Spatial and Time Spillovers of Driving Restrictions: Causal Evidence from Lima's Pico Y Placa Policy," IZA Discussion Papers 14932, Institute of Labor Economics (IZA).
    8. 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).
    9. 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.
    10. 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.
    11. Gabriel Kreindler, 2024. "Peak‐Hour Road Congestion Pricing: Experimental Evidence and Equilibrium Implications," Econometrica, Econometric Society, vol. 92(4), pages 1233-1268, July.
    12. Ke Wan & Alain Kornhauser, 2023. "Market Making and Pricing of Financial Derivatives based on Road Travel Times," Papers 2305.02523, arXiv.org, revised May 2023.
    13. David R. Agrawal & Weihua Zhao, 2023. "Taxing Uber," CESifo Working Paper Series 10313, CESifo.
    14. Xiaojuan Yu & Vincent A.C. van den Berg & Erik T. Verhoef, 2024. "Preference heterogeneity in a dynamic flow congestion model," Tinbergen Institute Discussion Papers 24-025/VIII, Tinbergen Institute.
    15. van den Berg, Vincent A.C., 2024. "Self-financing roads under coarse tolling and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    16. Durrmeyer, Isis & Martinez, Nicolas, 2022. "The Welfare Consequences of Urban Traffic Regulations," TSE Working Papers 22-1378, Toulouse School of Economics (TSE).

  3. Hall, Jonathan D. & Savage, Ian, 2019. "Tolling roads to improve reliability," Journal of Urban Economics, Elsevier, vol. 113(C).

    Cited by:

    1. Chen, Jiandong & Yu, Jie & Shen, Zhiyang & Song, Malin & Zhou, Ziqi, 2023. "Debt financing and maintenance expenditure: Theory and evidence on government-operated toll roads in China," Economic Systems, Elsevier, vol. 47(1).
    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. 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.
    4. 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.
    5. Durrmeyer, Isis & Martinez, Nicolas, 2022. "The Welfare Consequences of Urban Traffic Regulations," TSE Working Papers 22-1378, Toulouse School of Economics (TSE).

  4. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    See citations under working paper version above.
  5. 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.
    See citations under working paper version above.
  6. Liu, Yang & Nie, Yu (Marco) & Hall, Jonathan, 2015. "A semi-analytical approach for solving the bottleneck model with general user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 56-70.

    Cited by:

    1. 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.
    2. Wang, Hua & Meng, Qiang & Wang, Jing & Zhao, De, 2021. "An electric-vehicle corridor model in a dense city with applications to charging location and traffic management," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 79-99.
    3. Zhang, Yuan & Zhao, Hui & Jiang, Rui, 2024. "Manage morning commute for household travels with parking space constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    4. 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).
    5. Wei Wu & Wei Liu & Fangni Zhang & Vinayak Dixit, 2021. "A New Flexible Parking Reservation Scheme for the Morning Commute under Limited Parking Supplies," Networks and Spatial Economics, Springer, vol. 21(3), pages 513-545, September.
    6. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
    7. Vincent A.C. van den Berg & Erik T. Verhoef, 2015. "Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity," Tinbergen Institute Discussion Papers 15-062/VIII, Tinbergen Institute, revised 11 Jul 2016.
    8. Wu, Wen-Xiang & Huang, Hai-Jun, 2015. "An ordinary differential equation formulation of the bottleneck model with user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 34-58.
    9. Xinying Fu & Vincent A.C. van den Berg & Erik T. Verhoef, 2017. "Private Road Supply in Networks with Heterogeneous Users," Tinbergen Institute Discussion Papers 17-025/VIII, Tinbergen Institute, revised 12 Dec 2017.
    10. Hu, Lu & Zhao, Bin & Zhu, Juanxiu & Jiang, Yangsheng, 2019. "Two time-varying and state-dependent fluid queuing models for traffic circulation systems," European Journal of Operational Research, Elsevier, vol. 275(3), pages 997-1019.
    11. 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.
    12. Senlai Zhu & Hantao Yu & Congjun Fan, 2024. "Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    13. Chen, Hongyu & Liu, Yang & Nie, Yu (Marco), 2015. "Solving the step-tolled bottleneck model with general user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 210-229.
    14. 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.
    15. Xu, Zhandong & Chen, Anthony & Liu, Xiaobo, 2023. "Time and toll trade-off with heterogeneous users: A continuous time surplus maximization bi-objective user equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 31-58.
    16. 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.
    17. Jia, Zehui & Wang, David Z.W. & Cai, Xingju, 2016. "Traffic managements for household travels in congested morning commute," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 173-189.
    18. 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.
    19. Jasper Knockaert & Erik T. Verhoef & Jan Rouwendal, 2010. "Bottleneck Congestion: Differentiating the Coarse Charge," Tinbergen Institute Discussion Papers 10-097/3, Tinbergen Institute.
    20. 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.
    21. 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.
    22. Liu, Peng & Liu, Jielun & Ong, Ghim Ping & Tian, Qiong, 2020. "Flow pattern and optimal capacity in a bi-modal traffic corridor with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    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. Khan, Zaid & Amin, Saurabh, 2018. "Bottleneck model with heterogeneous information," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 157-190.
    25. Osawa, Minoru & Fu, Haoran & Akamatsu, Takashi, 2018. "First-best dynamic assignment of commuters with endogenous heterogeneities in a corridor network," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 811-831.
    26. Long, Jiancheng & Wang, Chao & Szeto, W.Y., 2018. "Dynamic system optimum simultaneous route and departure time choice problems: Intersection-movement-based formulations and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 166-206.
    27. Chen, Hongyu & Nie, Yu (Marco) & Yin, Yafeng, 2015. "Optimal multi-step toll design under general user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 775-793.
    28. Bao, Yue & Xiao, Feng & Gao, Zaihan & Gao, Ziyou, 2017. "Investigation of the traffic congestion during public holiday and the impact of the toll-exemption policy," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 58-81.
    29. Yu, Xiaojuan & van den Berg, Vincent A.C. & Verhoef, Erik T., 2019. "Carpooling with heterogeneous users in the bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 178-200.
    30. 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.
    31. Lu, Gongyuan & Nie, Yu(Marco) & Liu, Xiaobo & Li, Denghui, 2019. "Trajectory-based traffic management inside an autonomous vehicle zone," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 76-98.
    32. Zhang, Fangni & Liu, Wei & Wang, Xiaolei & Yang, Hai, 2017. "A new look at the morning commute with household shared-ride: How does school location play a role?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 198-217.
    33. Liu, Wei & Zhang, Fangni & Yang, Hai, 2017. "Modeling and managing morning commute with both household and individual travels," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 227-247.
    34. Long, Jiancheng & Szeto, W.Y., 2019. "Congestion and environmental toll schemes for the morning commute with heterogeneous users and parallel routes," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 305-333.
    35. Tian, Qiong & Liu, Peng & Ong, Ghim Ping & Huang, Hai-Jun, 2021. "Morning commuting pattern and crowding pricing in a many-to-one public transit system with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    36. Xiaojuan Yu & Vincent A.C. van den Berg & Erik T. Verhoef, 2024. "Preference heterogeneity in a dynamic flow congestion model," Tinbergen Institute Discussion Papers 24-025/VIII, Tinbergen Institute.
    37. van den Berg, Vincent A.C., 2024. "Self-financing roads under coarse tolling and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    38. 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).
    39. 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.
    40. Jiancheng Long & Wai Yuen Szeto, 2019. "Link-Based System Optimum Dynamic Traffic Assignment Problems in General Networks," Operations Research, INFORMS, vol. 67(1), pages 167-182, January.
    41. Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.

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