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Zheng Li

Not to be confused with: Zheng Li

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.

Articles

  1. Li, Zheng & Hensher, David A., 2020. "Performance contributors of bus rapid transit systems: An ordered choice approach," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 154-161.

    Cited by:

    1. Farhan Haider & Zia ur Rehman & Ammad Hassan Khan & Maryam Ilyas & Inamullah Khan, 2021. "Performance Evaluation of BRT Standard in Decision Support System for Integrated Transportation Policy," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    2. Agag, Gomaa & Ali Durrani, Baseer & Hassan Abdelmoety, Ziad & Mostafa Daher, Maya & Eid, Riyad, 2024. "Understanding the link between net promoter score and e-WOM behaviour on social media: The role of national culture," Journal of Business Research, Elsevier, vol. 170(C).

  2. Li, Zheng, 2018. "Unobserved and observed heterogeneity in risk attitudes: Implications for valuing travel time savings and travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 12-18.

    Cited by:

    1. Zhang, Xin & Zhong, Shiquan & Jia, Ning & Ling, Shuai & Yao, Wang & Ma, Shoufeng, 2024. "A barrier to the promotion of app-based ridesplitting: Travelers’ ambiguity aversion in mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    2. 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.
    3. Lu, Chang & Wu, Yuehui & Yu, Shanchuan, 2022. "A Sample Average Approximation Approach for the Stochastic Dial-A-Ride Problem on a Multigraph with User Satisfaction," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1031-1044.
    4. Fu, Hao & Lam, William H.K. & Shao, Hu & Kattan, Lina & Salari, Mostafa, 2022. "Optimization of multi-type traffic sensor locations for estimation of multi-period origin-destination demands with covariance effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    5. 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.

  3. Li, Zheng, 2018. "The impact of metro accessibility on residential property values: An empirical analysis," Research in Transportation Economics, Elsevier, vol. 70(C), pages 52-56.

    Cited by:

    1. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
    2. Li, Jianyi & Huang, Hao, 2020. "Effects of transit-oriented development (TOD) on housing prices: A case study in Wuhan, China," Research in Transportation Economics, Elsevier, vol. 80(C).
    3. Vitor Pestana Ostrensky & Alexandre Alves Porsse & Leonardo Matsuno da Frota, 2022. "Public transport and gentrification. Evidence from São Paulo metro new stations," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(6), pages 254-269, December.
    4. Changju Lee & Sunghoon Lee, 2022. "Exploring the Contributions by Transportation Features to Urban Economy: An Experiment of a Scalable Tree-Boosting Algorithm with Big Data," Land, MDPI, vol. 11(4), pages 1-30, April.
    5. Yu, Lijie & Cui, Mengying, 2023. "How subway network affects transit accessibility and equity: A case study of Xi'an metropolitan area," Journal of Transport Geography, Elsevier, vol. 108(C).
    6. Schouten, Andrew & Kawano, Yoh, 2024. "COVID-19 and the demand for transit access: Residential real estate prices in the Tokyo metropolitan area," Journal of Transport Geography, Elsevier, vol. 114(C).
    7. Mária Ďurišová & Emese Tokarčíková & Florina Oana Virlanuta & Zuzana Chodasová, 2019. "The Corporate Performance Measurement and Its Importance for the Pricing in a Transport Enterprise," Sustainability, MDPI, vol. 11(21), pages 1-17, November.
    8. Jianling Li & Changdong Ye & Jiangxue Yang, 2022. "Rail-Induced Social Changes in Central Guangzhou, China," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    9. Varameth Vichiensan & Vasinee Wasuntarasook & Titipakorn Prakayaphun & Masanobu Kii & Yoshitsugu Hayashi, 2023. "Influence of Urban Railway Network Centrality on Residential Property Values in Bangkok," Sustainability, MDPI, vol. 15(22), pages 1-25, November.
    10. Lee, Jae Kwang, 2022. "New rail transit projects and land values: The difference in the impact of rail transit investment on different land types, values and locations," Land Use Policy, Elsevier, vol. 112(C).

  4. Hensher, David A. & Li, Zheng & Mulley, Corinne, 2014. "Drivers of bus rapid transit systems – Influences on patronage and service frequency," Research in Transportation Economics, Elsevier, vol. 48(C), pages 159-165.

    Cited by:

    1. Ling, Shuai & Jia, Ning & Ma, Shoufeng & Lan, Yanfei & Hu, Wandi, 2019. "An incentive mechanism design for bus subsidy based on the route service level," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 271-283.
    2. Konrad Steiner & Stefan Irnich, 2018. "Schedule-Based Integrated Intercity Bus Line Planning via Branch-and-Cut," Transportation Science, INFORMS, vol. 52(4), pages 882-897, August.
    3. Basso, Leonardo J. & Feres, Fernando & Silva, Hugo E., 2019. "The efficiency of bus rapid transit (BRT) systems: A dynamic congestion approach," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 47-71.
    4. Hensher, David A. & Ho, Chinh & Mulley, Corinne, 2015. "Identifying resident preferences for bus-based and rail-based investments as a complementary buy in perspective to inform project planning prioritisation," Journal of Transport Geography, Elsevier, vol. 46(C), pages 1-9.
    5. Levine, Jonathan & Singer, Matan & Merlin, Louis & Grengs, Joe, 2018. "Apples to apples: Comparing BRT and light rail while avoiding the “BRT-Lite” trap," Transport Policy, Elsevier, vol. 69(C), pages 20-34.
    6. Andisheh Ranjbari & Yi-Chang Chiu & Mark Hickman, 2017. "Exploring factors affecting demand for possible future intercity transit options," Public Transport, Springer, vol. 9(1), pages 463-481, July.
    7. Li, Zheng & Hensher, David A., 2020. "Performance contributors of bus rapid transit systems: An ordered choice approach," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 154-161.
    8. Konrad Steiner & Stefan Irnich, 2016. "Schedule-based integrated inter-city bus line planning via branch-and-cut," Working Papers 1608, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

  5. Zheng Li & David Hensher, 2013. "Behavioural implications of preferences, risk attitudes and beliefs in modelling risky travel choice with travel time variability," Transportation, Springer, vol. 40(3), pages 505-523, May.

    Cited by:

    1. Li, Hao & Yu, Lu & Chen, Yu & Tu, Huizhao & Zhang, Jun, 2023. "Uncertainty of available range in explaining the charging choice behavior of BEV users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    2. Jenelius, Erik, 2018. "Public transport experienced service reliability: Integrating travel time and travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 275-291.
    3. Li, Zheng, 2018. "Unobserved and observed heterogeneity in risk attitudes: Implications for valuing travel time savings and travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 12-18.
    4. Li, Zheng & Hensher, David A. & Zeng, Jingjing, 2022. "Travel choice behaviour under uncertainty in real-market settings: A source-dependent utility approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    5. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
    6. 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.

  6. Hensher, David A. & Li, Zheng, 2013. "Referendum voting in road pricing reform: A review of the evidence," Transport Policy, Elsevier, vol. 25(C), pages 186-197.

    Cited by:

    1. Bhavna Singichetti & Adam Dodd & Jamie L. Conklin & Kristen Hassmiller Lich & Nasim S. Sabounchi & Rebecca B. Naumann, 2022. "Trends and Insights from Transportation Congestion Pricing Policy Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    2. Prieto-Rodriguez, Juan & Perez-Villadoniga, Maria J. & Salas, Rafael & Russo, Ana, 2022. "Impact of London Toxicity Charge and Ultra Low Emission Zone on NO2," Transport Policy, Elsevier, vol. 129(C), pages 237-247.
    3. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    4. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2021. "Who are less likely to vote for a low emission charging zone? Attitudes and adoption of hybrid and electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 29-43.
    5. Mohamad Shatanawi & Mohammed Hajouj & Belal Edries & Ferenc Mészáros, 2022. "The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries," Sustainability, MDPI, vol. 14(19), pages 1-32, October.
    6. Lichtin, Florian & Smith, E. Keith & Axhausen, Kay W. & Bernauer, Thomas, 2024. "How to design publicly acceptable road pricing? Experimental insights from Switzerland," Ecological Economics, Elsevier, vol. 218(C).
    7. David Hensher, 2013. "Exploring the relationship between perceived acceptability and referendum voting support for alternative road pricing schemes," Transportation, Springer, vol. 40(5), pages 935-959, September.
    8. Axsen, Jonn & Wolinetz, Michael, 2021. "Taxes, tolls and ZEV zones for climate: Synthesizing insights on effectiveness, efficiency, equity, acceptability and implementation," Energy Policy, Elsevier, vol. 156(C).
    9. Glavic, Drazenko & Milos, Mladenovic & Luttinen, Tapio & Cicevic, Svetlana & Trifunovic, Aleksandar, 2017. "Road to price: User perspectives on road pricing in transition country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 79-94.
    10. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    11. Ortúzar, Juan de Dios & Bascuñán, Raúl & Rizzi, Luis Ignacio & Salata, Andrés, 2021. "Assessing the potential acceptability of road pricing in Santiago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 153-169.
    12. Hensher, David A. & Ho, Chinh & Knowles, Louise, 2016. "Efficient contracting and incentive agreements between regulators and bus operators: The influence of risk preferences of contracting agents on contract choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 22-40.
    13. Hensher, David A. & Bliemer, Michiel C.J., 2014. "What type of road pricing scheme might appeal to politicians? Viewpoints on the challenge in gaining the citizen and public servant vote by staging reform," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 227-237.
    14. Tariq Munir & Hussein Dia & Hadi Ghaderi, 2021. "A Systematic Review of the Role of Road Network Pricing in Shaping Sustainable Cities: Lessons Learned and Opportunities for a Post-Pandemic World," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    15. David Hensher & Corinne Mulley, 2014. "Complementing distance based charges with discounted registration fees in the reform of road user charges: the impact for motorists and government revenue," Transportation, Springer, vol. 41(4), pages 697-715, July.
    16. Hansla, André & Hysing, Erik & Nilsson, Andreas & Martinsson, Johan, 2017. "Explaining voting behavior in the Gothenburg congestion tax referendum," Transport Policy, Elsevier, vol. 53(C), pages 98-106.
    17. Zheng, Zuduo & Liu, Zhiyuan & Liu, Chuanli & Shiwakoti, Nirajan, 2014. "Understanding public response to a congestion charge: A random-effects ordered logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 117-134.
    18. Hysing, Erik & Isaksson, Karolina, 2015. "Building acceptance for congestion charges – the Swedish experiences compared," Journal of Transport Geography, Elsevier, vol. 49(C), pages 52-60.
    19. Virginia Petraki & Panagiotis Papantoniou & Asimina Korentzelou & George Yannis, 2022. "Public Acceptability of Environmentally Linked Congestion and Parking Charging Policies in Greek Urban Centers," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
    20. Hysing, Erik, 2015. "Citizen participation or representative government – Building legitimacy for the Gothenburg congestion tax," Transport Policy, Elsevier, vol. 39(C), pages 1-8.
    21. Yacan Wang & Yu Wang & Luyao Xie & Huiyu Zhou, 2018. "Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China," Sustainability, MDPI, vol. 11(1), pages 1-21, December.
    22. Dieplinger, Maria & Fürst, Elmar, 2014. "The acceptability of road pricing: Evidence from two studies in Vienna and four other European cities," Transport Policy, Elsevier, vol. 36(C), pages 10-18.
    23. Stefano Carattini & Maria Carvalho & Sam Fankhauser, 2018. "Overcoming public resistance to carbon taxes," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 9(5), September.
    24. Zhang, Wenjia & Liu, Chengcheng & Zhang, Hongmou, 2023. "Public acceptance of congestion pricing policies in Beijing: The roles of neighborhood built environment and air pollution perception," Transport Policy, Elsevier, vol. 143(C), pages 106-120.
    25. Lingyi Zhou & Yixin Dai, 2017. "How Smog Awareness Influences Public Acceptance of Congestion Charge Policies," Sustainability, MDPI, vol. 9(9), pages 1-15, September.
    26. Marazi, Naveed Farooz & Majumdar, Bandhan Bandhu & Sahu, Prasanta K. & Potoglou, Dimitris, 2022. "Congestion pricing acceptability among commuters: An Indian perspective," Research in Transportation Economics, Elsevier, vol. 95(C).
    27. Ramos, Raúl & Cantillo, Víctor & Arellana, Julián & Sarmiento, Iván, 2017. "From restricting the use of cars by license plate numbers to congestion charging: Analysis for Medellin, Colombia," Transport Policy, Elsevier, vol. 60(C), pages 119-130.

  7. Li, Zheng & Hensher, David A. & Rose, John M., 2013. "Accommodating perceptual conditioning in the valuation of expected travel time savings for cars and public transport," Research in Transportation Economics, Elsevier, vol. 39(1), pages 270-276.

    Cited by:

    1. Soora Rasouli & Harry Timmermans, 2017. "Specification of regret-based models of choice behaviour: formal analyses and experimental design based evidence," Transportation, Springer, vol. 44(6), pages 1555-1576, November.
    2. 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.
    3. N. Oort, 2016. "Incorporating enhanced service reliability of public transport in cost-benefit analyses," Public Transport, Springer, vol. 8(1), pages 143-160, March.

  8. David A. Hensher & John M. Rose & Waiyan Leong & Alejandro Tirachini & Zheng Li, 2013. "Choosing Public Transport—Incorporating Richer Behavioural Elements in Modal Choice Models," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 92-106, January.

    Cited by:

    1. Jochem, Patrick & Lisson, Christopher & Khanna, Arpita Asha, 2021. "The role of coordination costs in mode choice decisions: A case study of German cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 31-44.
    2. Gijsenberg, Maarten & Verhoef, Pieter, 2018. "Moving Forward," Research Report 2018003-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    3. Nadeem Ul Haque & Faheem Jehangir Khan (ed.), 2022. "RASTA Local Research, Local Solutions: Urban Development, Volume II," PIDE Books, Pakistan Institute of Development Economics, number 2022:10.
    4. Maljaee, Seyedeh Sara & Khadem Sameni, Melody, 2022. "Investigating factors affecting university students' use of subway before and after COVID-19 outbreak: A case study in Tehran," Journal of Transport Geography, Elsevier, vol. 105(C).

  9. 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.

    Cited by:

    1. 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.
    2. Li, Zheng, 2018. "Unobserved and observed heterogeneity in risk attitudes: Implications for valuing travel time savings and travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 12-18.
    3. Zheng Li, 2020. "Experimental Evidence on Socioeconomic Differences in Risk‐Taking and Risk Premiums," The Economic Record, The Economic Society of Australia, vol. 96(313), pages 140-152, June.
    4. 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.

  10. David Hensher & John Rose & Zheng Li, 2012. "Does the choice model method and/or the data matter?," Transportation, Springer, vol. 39(2), pages 351-385, March.

    Cited by:

    1. 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.
    2. J. Price & D. Dupont & W. Adamowicz, 2017. "As Time Goes By: Examination of Temporal Stability Across Stated Preference Question Formats," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 643-662, November.
    3. Shr, Yau-Huo & Ready, Richard C. & Orland, Brian & Echols, Stuart, 2017. "Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258397, Agricultural and Applied Economics Association.
    4. Zhang, Jing & Reed Johnson, F. & Mohamed, Ateesha F. & Hauber, A. Brett, 2015. "Too many attributes: A test of the validity of combining discrete-choice and best–worst scaling data," Journal of choice modelling, Elsevier, vol. 15(C), pages 1-13.
    5. Weber, Matthew A. & Meixner, Thomas & Stromberg, Juliet C., 2016. "Valuing instream-related services of wastewater," Ecosystem Services, Elsevier, vol. 21(PA), pages 59-71.
    6. Ahtiainen, Heini & Tienhaara, Annika & Pouta, Eija & Czajkowski, Mikolaj, 2017. "Role of information in the valuation of unfamiliar goods – the case of genetic resources in agriculture," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261423, European Association of Agricultural Economists.
    7. Leong, Waiyan & Hensher, David A., 2014. "Relative advantage maximisation as a model of context dependence for binary choice data," Journal of choice modelling, Elsevier, vol. 11(C), pages 30-42.
    8. 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.
    9. Shr, Yau-Huo (Jimmy) & Ready, Richard & Orland, Brian & Echols, Stuart, 2019. "How Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," Ecological Economics, Elsevier, vol. 156(C), pages 375-386.

  11. David Hensher & Zheng Li, 2012. "Erratum to: Ridership drivers of bus rapid transit systems," Transportation, Springer, vol. 39(6), pages 1223-1224, November.

    Cited by:

    1. Kiani Mavi, Reza & Zarbakhshnia, Navid & Khazraei, Armin, 2018. "Bus rapid transit (BRT): A simulation and multi criteria decision making (MCDM) approach," Transport Policy, Elsevier, vol. 72(C), pages 187-197.
    2. Guzman, Luis A. & Beltran, Carlos & Bonilla, Jorge & Gomez Cardona, Santiago, 2021. "BRT fare elasticities from smartcard data: Spatial and time-of-the-day differences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 335-348.
    3. Miriam Rocha & Cristina Albuquerque Moreira Silva & Reinaldo Germano Santos Junior & Michel Anzanello & Gabrielli Harumi Yamashita & Luis Antonio Lindau, 2020. "Selecting the most relevant variables towards clustering bus priority corridors," Public Transport, Springer, vol. 12(3), pages 587-609, October.
    4. Hensher, David A. & Li, Zheng & Mulley, Corinne, 2014. "Drivers of bus rapid transit systems – Influences on patronage and service frequency," Research in Transportation Economics, Elsevier, vol. 48(C), pages 159-165.
    5. Currie, Graham & Delbosc, Alexa, 2014. "Assessing Bus Rapid Transit system performance in Australasia," Research in Transportation Economics, Elsevier, vol. 48(C), pages 142-151.
    6. Vergel-Tovar, C. Erik & Rodriguez, Daniel A., 2018. "The ridership performance of the built environment for BRT systems: Evidence from Latin America," Journal of Transport Geography, Elsevier, vol. 73(C), pages 172-184.
    7. An, Kun & Lo, Hong K., 2016. "Two-phase stochastic program for transit network design under demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 157-181.
    8. Merkert, Rico & Mulley, Corinne & Hakim, Md Mahbubul, 2017. "Determinants of bus rapid transit (BRT) system revenue and effectiveness – A global benchmarking exercise," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 75-88.
    9. Li, Zheng & Hensher, David A., 2020. "Performance contributors of bus rapid transit systems: An ordered choice approach," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 154-161.
    10. Jinbao Zhao & Wei Deng & Yan Song & Yueran Zhu, 2014. "Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models," Transportation, Springer, vol. 41(1), pages 133-155, January.

  12. Li, Zheng & Hensher, David A., 2012. "Congestion charging and car use: A review of stated preference and opinion studies and market monitoring evidence," Transport Policy, Elsevier, vol. 20(C), pages 47-61.

    Cited by:

    1. Mohamad Shatanawi & Fatma Abdelkhalek & Ferenc Mészáros, 2020. "Urban Congestion Charging Acceptability: An International Comparative Study," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    2. Cui, Shuang & Tian, Lijun & Xu, Yan & Wang, Yacan, 2024. "Measuring acceptance of tradable credit scheme and its effect on behavioral intention through theory of planned behavior," Transport Policy, Elsevier, vol. 150(C), pages 174-188.
    3. Vonk Noordegraaf, Diana & Annema, Jan Anne & van Wee, Bert, 2014. "Policy implementation lessons from six road pricing cases," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 172-191.
    4. Subhan, Fazle & Ali, Yasir & Zhao, Shengchuan & Oviedo-Trespalacios, Oscar, 2023. "Understanding and modeling willingness-to-pay for public policies to enhance road safety: A perspective from Pakistan," Transport Policy, Elsevier, vol. 141(C), pages 182-196.
    5. Ding, Hongliang & Sze, N.N. & Li, Haojie & Guo, Yanyong, 2021. "Affected area and residual period of London Congestion Charging scheme on road safety," Transport Policy, Elsevier, vol. 100(C), pages 120-128.
    6. David Hensher, 2013. "Exploring the relationship between perceived acceptability and referendum voting support for alternative road pricing schemes," Transportation, Springer, vol. 40(5), pages 935-959, September.
    7. Axsen, Jonn & Wolinetz, Michael, 2021. "Taxes, tolls and ZEV zones for climate: Synthesizing insights on effectiveness, efficiency, equity, acceptability and implementation," Energy Policy, Elsevier, vol. 156(C).
    8. Cheranchery, Munavar Fairooz & Maitra, Bhargab, 2021. "Improving quality of ordinary bus service in Kolkata city: Integrating conflicting requirements of users and transit operator," Transport Policy, Elsevier, vol. 111(C), pages 17-27.
    9. Koh, Wee Ping & Chin, Kian Keong, 2022. "The applicability of prospect theory in examining drivers’ trip decisions, in response to Electronic Road Pricing (ERP) rates adjustments - a study using travel data in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 115-127.
    10. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    11. Matthew Quaife & Peter Vickerman & Shanthi Manian & Robyn Eakle & Maria A. Cabrera‐Escobar & Sinead Delany‐Moretlwe & Fern Terris‐Prestholt, 2018. "The effect of HIV prevention products on incentives to supply condomless commercial sex among female sex workers in South Africa," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1550-1566, October.
    12. Fabian Adelt & Johannes Weyer & Sebastian Hoffmann & Andreas Ihrig, 2018. "Simulation of the Governance of Complex Systems (SimCo): Basic Concepts and Experiments on Urban Transportation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-2.
    13. M. Rouhani, Omid, 2014. "Road pricing: An overview," MPRA Paper 59662, University Library of Munich, Germany.
    14. Grisolía, José M. & López, Francisco & Ortúzar, Juan de Dios, 2015. "Increasing the acceptability of a congestion charging scheme," Transport Policy, Elsevier, vol. 39(C), pages 37-47.
    15. Mounce, Richard & Nelson, John D., 2019. "On the potential for one-way electric vehicle car-sharing in future mobility systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 17-30.
    16. David Hensher & Corinne Mulley, 2014. "Complementing distance based charges with discounted registration fees in the reform of road user charges: the impact for motorists and government revenue," Transportation, Springer, vol. 41(4), pages 697-715, July.
    17. 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.
    18. 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).
    19. Elvik, Rune & Ramjerdi, Farideh, 2014. "A comparative analysis of the effects of economic policy instruments in promoting environmentally sustainable transport," Transport Policy, Elsevier, vol. 33(C), pages 89-95.
    20. Hensher, David A. & Li, Zheng, 2013. "Referendum voting in road pricing reform: A review of the evidence," Transport Policy, Elsevier, vol. 25(C), pages 186-197.
    21. Sugiarto, Sugiarto & Miwa, Tomio & Morikawa, Takayuki, 2017. "Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 36-53.
    22. Joseph Molloy & Alberto Castro & Thomas Götschi & Beaumont Schoeman & Christopher Tchervenkov & Uros Tomic & Beat Hintermann & Kay W. Axhausen, 2023. "The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland," Transportation, Springer, vol. 50(5), pages 1983-2007, October.
    23. Zannat, Khatun E. & Choudhury, Charisma F. & Hess, Stephane, 2024. "Modelling time-of-travel preferences capturing correlations between departure times and activity durations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    24. Dieplinger, Maria & Fürst, Elmar, 2014. "The acceptability of road pricing: Evidence from two studies in Vienna and four other European cities," Transport Policy, Elsevier, vol. 36(C), pages 10-18.
    25. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    26. Galit Cohen-Blankshtain & Hillel Bar-Gera & Yoram Shiftan, 2023. "Congestion pricing and positive incentives: conceptual analysis and empirical findings from Israel," Transportation, Springer, vol. 50(2), pages 607-633, April.

  13. David Hensher & Zheng Li, 2012. "Ridership drivers of bus rapid transit systems," Transportation, Springer, vol. 39(6), pages 1209-1221, November.

    Cited by:

    1. Kiani Mavi, Reza & Zarbakhshnia, Navid & Khazraei, Armin, 2018. "Bus rapid transit (BRT): A simulation and multi criteria decision making (MCDM) approach," Transport Policy, Elsevier, vol. 72(C), pages 187-197.
    2. Guzman, Luis A. & Beltran, Carlos & Bonilla, Jorge & Gomez Cardona, Santiago, 2021. "BRT fare elasticities from smartcard data: Spatial and time-of-the-day differences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 335-348.
    3. Miriam Rocha & Cristina Albuquerque Moreira Silva & Reinaldo Germano Santos Junior & Michel Anzanello & Gabrielli Harumi Yamashita & Luis Antonio Lindau, 2020. "Selecting the most relevant variables towards clustering bus priority corridors," Public Transport, Springer, vol. 12(3), pages 587-609, October.
    4. Cleary, Brendan & Duffy, Aidan & Bach, Bjarne & Vitina, Aisma & O’Connor, Alan & Conlon, Michael, 2016. "Estimating the electricity prices, generation costs and CO2 emissions of large scale wind energy exports from Ireland to Great Britain," Energy Policy, Elsevier, vol. 91(C), pages 38-48.
    5. Hensher, David A. & Li, Zheng & Mulley, Corinne, 2014. "Drivers of bus rapid transit systems – Influences on patronage and service frequency," Research in Transportation Economics, Elsevier, vol. 48(C), pages 159-165.
    6. Currie, Graham & Delbosc, Alexa, 2014. "Assessing Bus Rapid Transit system performance in Australasia," Research in Transportation Economics, Elsevier, vol. 48(C), pages 142-151.
    7. Vergel-Tovar, C. Erik & Rodriguez, Daniel A., 2018. "The ridership performance of the built environment for BRT systems: Evidence from Latin America," Journal of Transport Geography, Elsevier, vol. 73(C), pages 172-184.
    8. An, Kun & Lo, Hong K., 2016. "Two-phase stochastic program for transit network design under demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 157-181.
    9. Merkert, Rico & Mulley, Corinne & Hakim, Md Mahbubul, 2017. "Determinants of bus rapid transit (BRT) system revenue and effectiveness – A global benchmarking exercise," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 75-88.
    10. Li, Zheng & Hensher, David A., 2020. "Performance contributors of bus rapid transit systems: An ordered choice approach," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 154-161.
    11. Jinbao Zhao & Wei Deng & Yan Song & Yueran Zhu, 2014. "Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models," Transportation, Springer, vol. 41(1), pages 133-155, January.

  14. 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.

    Cited by:

    1. 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.
    2. Canales, Elizabeth & Bergtold, Jason S. & Williams, Jeffery & Peterson, Jeffrey, 2015. "Estimating farmers’ risk attitudes and risk premiums for the adoption of conservation practices under different contractual arrangements: A stated choice experiment," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205640, Agricultural and Applied Economics Association.
    3. Soora Rasouli & Harry Timmermans, 2017. "Specification of regret-based models of choice behaviour: formal analyses and experimental design based evidence," Transportation, Springer, vol. 44(6), pages 1555-1576, November.
    4. Paul Koster & Eric Pels & Erik Verhoef, 2013. "The User Costs of Air Travel Delay Variability," Tinbergen Institute Discussion Papers 13-056/VIII, Tinbergen Institute.
    5. Li, Zheng, 2018. "Unobserved and observed heterogeneity in risk attitudes: Implications for valuing travel time savings and travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 12-18.
    6. Zheng Li, 2020. "Experimental Evidence on Socioeconomic Differences in Risk‐Taking and Risk Premiums," The Economic Record, The Economic Society of Australia, vol. 96(313), pages 140-152, June.
    7. Wijayaratna, Kasun P. & Dixit, Vinayak V., 2016. "Impact of information on risk attitudes: Implications on valuation of reliability and information," Journal of choice modelling, Elsevier, vol. 20(C), pages 16-34.
    8. Rey, David & Dixit, Vinayak V. & Ygnace, Jean-Luc & Waller, S. Travis, 2016. "An endogenous lottery-based incentive mechanism to promote off-peak usage in congested transit systems," Transport Policy, Elsevier, vol. 46(C), pages 46-55.
    9. 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.
    10. 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).
    11. Quy Nguyen-Phuoc, Duy & An Ngoc Nguyen, Nguyen & Nguyen, Minh Hieu & Ngoc Thi Nguyen, Ly & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 541-556.
    12. 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.
    13. Zheng Li & Jingjing Zeng, 2023. "Increasing relative risk taking in a choice context with source-dependent travel time risks," Transportation, Springer, vol. 50(6), pages 2441-2460, December.
    14. 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).
    15. Knut Haase & Mathias Kasper & Matthes Koch & Sven Müller, 2019. "A Pilgrim Scheduling Approach to Increase Safety During the Hajj," Operations Research, INFORMS, vol. 67(2), pages 376-406, March.
    16. Elizabeth Canales & Jason S. Bergtold & Jeffery R. Williams, 2024. "Conservation intensification under risk: An assessment of adoption, additionality, and farmer preferences," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(1), pages 45-75, January.
    17. Yi-Shih Chung & Szu-Yu Tu, 2021. "Tri-reference-point hypothesis development for airport ground access behaviors," Transportation, Springer, vol. 48(5), pages 2159-2185, October.
    18. 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.

  15. David A. Hensher & Zheng Li, 2012. "Valuing Travel Time Variability within a Rank-Dependent Utility Framework and an Investigation of Unobserved Taste Heterogeneity," Journal of Transport Economics and Policy, University of Bath, vol. 46(2), pages 293-312, May.

    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. Cerroni, Simone & Notaro, Sandra & Raffaelli, Roberta & Shaw, Douglass W., 2013. "The incorporation of subjective risks into choice experiments to test scenario adjustment," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149894, Italian Association of Agricultural and Applied Economics (AIEAA).
    3. Li, Zheng, 2018. "Unobserved and observed heterogeneity in risk attitudes: Implications for valuing travel time savings and travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 12-18.
    4. Zheng, Zuduo & Washington, Simon & Hyland, Paul & Sloan, Keith & Liu, Yulin, 2016. "Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 178-194.
    5. 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.
    6. Wijayaratna, Kasun P. & Dixit, Vinayak V., 2016. "Impact of information on risk attitudes: Implications on valuation of reliability and information," Journal of choice modelling, Elsevier, vol. 20(C), pages 16-34.
    7. Li, Zheng & Hensher, David A. & Rose, John M., 2013. "Accommodating perceptual conditioning in the valuation of expected travel time savings for cars and public transport," Research in Transportation Economics, Elsevier, vol. 39(1), pages 270-276.
    8. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Integrating attribute non-attendance and value learning with risk attitudes and perceptual conditioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 172-191.
    9. Hensher, David A. & Balbontin, Camila & Collins, Andrew T., 2018. "Heterogeneity in decision processes: Embedding extremeness aversion, risk attitude and perceptual conditioning in multiple process rules choice making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 316-325.
    10. Stephane Hess & Andrew Daly (ed.), 2014. "Handbook of Choice Modelling," Books, Edward Elgar Publishing, number 14820.
    11. 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.
    12. Zheng Li & David Hensher, 2013. "Behavioural implications of preferences, risk attitudes and beliefs in modelling risky travel choice with travel time variability," Transportation, Springer, vol. 40(3), pages 505-523, May.
    13. 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.

  16. Bain, Stuart & Hensher, David A. & Li, Zheng, 2011. "R-Tresis: developing a transport model system for regional New South Wales," Journal of Transport Geography, Elsevier, vol. 19(4), pages 615-622.

    Cited by:

    1. David Hensher & Richard Ellison & Corinne Mulley, 2014. "Assessing the employment agglomeration and social accessibility impacts of high speed rail in Eastern Australia," Transportation, Springer, vol. 41(3), pages 463-493, May.

  17. Hensher, David A. & Greene, William H. & Li, Zheng, 2011. "Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 954-972, August.

    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. 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.
    3. Canales, Elizabeth & Bergtold, Jason S. & Williams, Jeffery & Peterson, Jeffrey, 2015. "Estimating farmers’ risk attitudes and risk premiums for the adoption of conservation practices under different contractual arrangements: A stated choice experiment," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205640, Agricultural and Applied Economics Association.
    4. Gao, Dong Li & Xie, Wei & Ming Lee, Eric Wai, 2022. "Individual-level exit choice behaviour under uncertain risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    5. 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.
    6. Cerroni, Simone & Notaro, Sandra & Raffaelli, Roberta & Shaw, Douglass W., 2013. "The incorporation of subjective risks into choice experiments to test scenario adjustment," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149894, Italian Association of Agricultural and Applied Economics (AIEAA).
    7. Tyndall, Justin, 2018. "Bus quality improvements and local commuter mode share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 173-183.
    8. Collins, Andrew T. & Rose, John M. & Hensher, David A., 2013. "Specification issues in a generalised random parameters attribute nonattendance model," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 234-253.
    9. Li, Zheng, 2018. "Unobserved and observed heterogeneity in risk attitudes: Implications for valuing travel time savings and travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 12-18.
    10. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    11. Wijayaratna, Kasun P. & Dixit, Vinayak V., 2016. "Impact of information on risk attitudes: Implications on valuation of reliability and information," Journal of choice modelling, Elsevier, vol. 20(C), pages 16-34.
    12. Hensher, David A. & Ho, Chinh & Knowles, Louise, 2016. "Efficient contracting and incentive agreements between regulators and bus operators: The influence of risk preferences of contracting agents on contract choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 22-40.
    13. Mickaël Beaud & Thierry Blayac & Maïté Stéphan, 2014. "Measurements and properties of the values of time and reliability," Working Papers 14-06, LAMETA, Universtiy of Montpellier, revised Jul 2014.
    14. Rey, David & Dixit, Vinayak V. & Ygnace, Jean-Luc & Waller, S. Travis, 2016. "An endogenous lottery-based incentive mechanism to promote off-peak usage in congested transit systems," Transport Policy, Elsevier, vol. 46(C), pages 46-55.
    15. 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.
    16. Ho, Chinh & Mulley, Corinne, 2015. "Intra-household Interactions in tour-based mode choice: The role of social, temporal, spatial and resource constraints," Transport Policy, Elsevier, vol. 38(C), pages 52-63.
    17. 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.
    18. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Integrating attribute non-attendance and value learning with risk attitudes and perceptual conditioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 172-191.
    19. 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.
    20. Quy Nguyen-Phuoc, Duy & An Ngoc Nguyen, Nguyen & Nguyen, Minh Hieu & Ngoc Thi Nguyen, Ly & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 541-556.
    21. Soto, Jose J. & Márquez, Luis & Macea, Luis F., 2018. "Accounting for attitudes on parking choice: An integrated choice and latent variable approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 65-77.
    22. 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.
    23. Matthew J. Wibbenmeyer & Michael S. Hand & David E. Calkin & Tyron J. Venn & Matthew P. Thompson, 2013. "Risk Preferences in Strategic Wildfire Decision Making: A Choice Experiment with U.S. Wildfire Managers," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1021-1037, June.
    24. 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).
    25. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Do familiarity and awareness influence voting intention: The case of road pricing reform?," Journal of choice modelling, Elsevier, vol. 25(C), pages 11-27.
    26. Hensher, David A. & Balbontin, Camila & Collins, Andrew T., 2018. "Heterogeneity in decision processes: Embedding extremeness aversion, risk attitude and perceptual conditioning in multiple process rules choice making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 316-325.
    27. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
    28. Michael S. Hand & Matthew J. Wibbenmeyer & David E. Calkin & Matthew P. Thompson, 2015. "Risk Preferences, Probability Weighting, and Strategy Tradeoffs in Wildfire Management," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1876-1891, October.
    29. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
    30. Chinh Ho & Corinne Mulley, 2013. "Tour-based mode choice of joint household travel patterns on weekend and weekday," Transportation, Springer, vol. 40(4), pages 789-811, July.
    31. Yen, Barbara T.H. & Mulley, Corinne & Tseng, Wen-Chun, 2018. "Inter-modal competition in an urbanised area: Heavy rail and busways," Research in Transportation Economics, Elsevier, vol. 69(C), pages 77-85.
    32. 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.
    33. 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.
    34. Jens Parbo & Otto Anker Nielsen & Carlo Giacomo Prato, 2016. "Passenger Perspectives in Railway Timetabling: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 36(4), pages 500-526, July.
    35. Guotao Hu & Aruna Sivakumar & John Polak, 2012. "Modelling travellers’ risky choice in a revealed preference context: a comparison of EUT and non-EUT approaches," Transportation, Springer, vol. 39(4), pages 825-841, July.
    36. Masiero, Lorenzo & Viglia, Giampaolo & Nieto-Garcia, Marta, 2020. "Strategic consumer behavior in online hotel booking," Annals of Tourism Research, Elsevier, vol. 83(C).
    37. Zheng Li & David Hensher, 2013. "Behavioural implications of preferences, risk attitudes and beliefs in modelling risky travel choice with travel time variability," Transportation, Springer, vol. 40(3), pages 505-523, May.
    38. 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.

  18. Li, Zheng & Hensher, David A. & Rose, John M., 2011. "Identifying sources of systematic variation in direct price elasticities from revealed preference studies of inter-city freight demand," Transport Policy, Elsevier, vol. 18(5), pages 727-734, September.

    Cited by:

    1. Winebrake, James J. & Green, Erin H. & Comer, Bryan & Corbett, James J. & Froman, Sarah, 2012. "Estimating the direct rebound effect for on-road freight transportation," Energy Policy, Elsevier, vol. 48(C), pages 252-259.
    2. Youzhi Zeng & Bin Ran & Ning Zhang & Xiaobao Yang, 2021. "Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO 2 Emissions," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    3. Hensher, David A. & Collins, Andrew T. & Rose, John M. & Smith, Nariida C., 2013. "Direct and cross elasticities for freight distribution access charges: Empirical evidence by vehicle class, vehicle kilometres and tonne vehicle kilometres," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 1-21.

  19. Li, Zheng & Hensher, David A., 2011. "Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal," Transport Policy, Elsevier, vol. 18(6), pages 880-887, November.

    Cited by:

    1. Emily Grisé & Ahmed El-Geneidy, 2020. "Assessing operation and customer perception characteristics of high frequency local and limited-stop bus service in Vancouver, Canada," Public Transport, Springer, vol. 12(3), pages 519-534, October.
    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. Zhang, Zheng & Fujii, Hidemichi & Managi, Shunsuke, 2014. "How does Commuting Behavior Change Due to Incentives? An Empirical Study of the Beijing Subway System," MPRA Paper 54691, University Library of Munich, Germany.
    4. Prateek Bansal & Roselinde Kessels & Rico Krueger & Daniel J Graham, 2021. "Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic," Papers 2107.02394, arXiv.org.
    5. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    6. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    7. Tirachini, Alejandro & Sun, Lijun & Erath, Alexander & Chakirov, Artem, 2016. "Valuation of sitting and standing in metro trains using revealed preferences," Transport Policy, Elsevier, vol. 47(C), pages 94-104.
    8. Luan, Xiaojie & Corman, Francesco, 2022. "Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 239-272.
    9. Iglesias, Vicente & Raveau, Sebastián, 2024. "Effect of the COVID-19 pandemic on crowding aversion in public transport and transport mode choice: The case of Santiago, Chile," Transport Policy, Elsevier, vol. 146(C), pages 167-174.
    10. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
    11. Lin, Joanne Yuh-Jye & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak & Chen, Cynthia, 2023. "The equity of public transport crowding exposure," Journal of Transport Geography, Elsevier, vol. 110(C).
    12. André de Palma & Moez Kilani & Stef Proost, 2015. "Discomfort in mass transit and its implication for scheduling and pricing," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311131, HAL.
    13. Ho, Chinh Q. & Mulley, Corinne, 2013. "Multiple purposes at single destination: A key to a better understanding of the relationship between tour complexity and mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 206-219.
    14. Luke Haywood & Martin Koning & Guillaume Monchambert, 2017. "Crowding in public transport: Who cares and why?," Post-Print hal-01517820, HAL.
    15. Wang, Jing-Peng & Liu, Tian-Liang & Huang, Hai-Jun, 2018. "Tradable OD-based travel permits for bi-modal traffic management with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 589-605.
    16. 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).
    17. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    18. Kapatsila, Bogdan & Bahamonde-Birke, Francisco J. & van Lierop, Dea & Grisé, Emily, 2023. "Impact of the COVID-19 pandemic on the comfort of riding a crowded bus in Metro Vancouver, Canada," Transport Policy, Elsevier, vol. 141(C), pages 83-96.
    19. Jenelius, Erik, 2018. "Public transport experienced service reliability: Integrating travel time and travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 275-291.
    20. Martens, Karel, 2018. "Ageing, impairments and travel: Priority setting for an inclusive transport system," Transport Policy, Elsevier, vol. 63(C), pages 122-130.
    21. 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.
    22. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    23. Zhang, Junlin & Yang, Hai & Lindsey, Robin & Li, Xinwei, 2020. "Modeling and managing congested transit service with heterogeneous users under monopoly," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 249-266.
    24. Guo, Ren-Yong & Szeto, W.Y. & Long, Jiancheng, 2020. "Trial-and-error operation schemes for bimodal transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 106-123.
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    Cited by:

    1. Li, Zheng & Hensher, David A., 2012. "Congestion charging and car use: A review of stated preference and opinion studies and market monitoring evidence," Transport Policy, Elsevier, vol. 20(C), pages 47-61.

  21. 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.

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    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. Nikita V. Martyushev & Boris V. Malozyomov & Olga A. Filina & Svetlana N. Sorokova & Egor A. Efremenkov & Denis V. Valuev & Mengxu Qi, 2023. "Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability," Mathematics, MDPI, vol. 11(23), pages 1-19, November.
    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. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
    5. David Hensher & John Rose & Zheng Li, 2012. "Does the choice model method and/or the data matter?," Transportation, Springer, vol. 39(2), pages 351-385, March.
    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. 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.
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    10. 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.
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    44. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
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    81. Olga A. Filina & Nikita V. Martyushev & Boris V. Malozyomov & Vadim Sergeevich Tynchenko & Viktor Alekseevich Kukartsev & Kirill Aleksandrovich Bashmur & Pavel P. Pavlov & Tatyana Aleksandrovna Panfil, 2023. "Increasing the Efficiency of Diagnostics in the Brush-Commutator Assembly of a Direct Current Electric Motor," Energies, MDPI, vol. 17(1), pages 1-24, December.
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    84. Zhao, Jian & Zhao, Yunyi & Li, Ying, 2015. "The variation in the value of travel-time savings and the dilemma of high-speed rail in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 130-140.
    85. John Rolfe & Jill Windle, 2015. "Do Respondents Adjust Their Expected Utility in the Presence of an Outcome Certainty Attribute in a Choice Experiment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(1), pages 125-142, January.
    86. Chen, Tiantian & Fu, Xiaowen & Hensher, David A. & Li, Zhi-Chun & Sze, N.N., 2022. "The effect of online meeting and health screening on business travel: A stated preference case study in Hong Kong," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    87. 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.
    88. Li, Zheng & Hensher, David A., 2020. "Performance contributors of bus rapid transit systems: An ordered choice approach," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 154-161.
    89. 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.
    90. 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.
    91. Altringer, Levi & Zahran, Sammy & Shwiff, Stephanie A. & Begier, Michael J. & Anderson, Aaron, 2022. "Spillover delay effects of damaging wildlife strike events at U.S. airports," Economics of Transportation, Elsevier, vol. 30(C).
    92. van Oort, Niels, 2014. "Incorporating service reliability in public transport design and performance requirements: International survey results and recommendations," Research in Transportation Economics, Elsevier, vol. 48(C), pages 92-100.
    93. Hensher, David A. & Greene, William H. & Li, Zheng, 2011. "Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 954-972, August.
    94. Nikhil Sikka & Paul Hanley, 2013. "What do commuters think travel time reliability is worth? Calculating economic value of reducing the frequency and extent of unexpected delays," Transportation, Springer, vol. 40(5), pages 903-919, September.
    95. Yen, Barbara T.H. & Mulley, Corinne & Tseng, Wen-Chun, 2018. "Inter-modal competition in an urbanised area: Heavy rail and busways," Research in Transportation Economics, Elsevier, vol. 69(C), pages 77-85.
    96. 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.
    97. 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.
    98. 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.
    99. Shi, Feng & Zhou, Zhao & Yao, Jia & Huang, Helai, 2012. "Incorporating transfer reliability into equilibrium analysis of railway passenger flow," European Journal of Operational Research, Elsevier, vol. 220(2), pages 378-385.
    100. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
    101. 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).
    102. Zheng Li & David Hensher, 2013. "Behavioural implications of preferences, risk attitudes and beliefs in modelling risky travel choice with travel time variability," Transportation, Springer, vol. 40(3), pages 505-523, May.
    103. Deka, Devajyoti, 2015. "Factors associated with disability paratransit's travel time reliability," Journal of Transport Geography, Elsevier, vol. 48(C), pages 96-104.
    104. Sjoerd van der Spoel & Chintan Amrit & Jos van Hillegersberg, 2017. "Predictive analytics for truck arrival time estimation: a field study at a European distribution centre," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5062-5078, September.
    105. Merkert, Rico & Beck, Matthew, 2017. "Value of travel time savings and willingness to pay for regional aviation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 29-42.
    106. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    107. Andreas Økland & Nils O. E. Olsson, 2021. "Punctuality development and delay explanation factors on Norwegian railways in the period 2005–2014," Public Transport, Springer, vol. 13(1), pages 127-161, March.
    108. Anwar, Rosiwarna & Salehudin, Imam & Mukhlish, Basuki Muhammad & Ririh, Kirana Rukmayuninda, 2015. "Intention to Adopt and Willingness to Pay: Mass Rapid Transit (MRT) System in Greater Jakarta, Indonesia," MPRA Paper 94204, University Library of Munich, Germany, revised 2016.
    109. Dieplinger, Maria & Fürst, Elmar, 2014. "The acceptability of road pricing: Evidence from two studies in Vienna and four other European cities," Transport Policy, Elsevier, vol. 36(C), pages 10-18.
    110. Kim, Sung Hoo & Chung, Jin-Hyuk, 2018. "Exploration on origin–destination-based travel time variability: Insights from Seoul metropolitan area," Journal of Transport Geography, Elsevier, vol. 70(C), pages 104-113.
    111. Bardal, Kjersti Granås, 2017. "Impacts of adverse weather on Arctic road transport," Journal of Transport Geography, Elsevier, vol. 59(C), pages 49-58.
    112. 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.
    113. Emily K. M. Moylan & Michiel C. J. Bliemer & Taha Hossein Rashidi, 2022. "Travellers’ perceptions of travel time reliability in the presence of rare events," Transportation, Springer, vol. 49(4), pages 1157-1181, August.
    114. Alejandro Tirachini & David Hensher & Michiel Bliemer, 2014. "Accounting for travel time variability in the optimal pricing of cars and buses," Transportation, Springer, vol. 41(5), pages 947-971, September.
    115. Rong-Chang Jou & Tzu-Ying Chen, 2015. "External Costs to Parties Involved in Highway Traffic Accidents: The Perspective of Highway Users," Sustainability, MDPI, vol. 7(6), pages 1-23, June.
    116. Mohammad-Reza Namazi-Rad & Michelle Dunbar & Hadi Ghaderi & Payam Mokhtarian, 2015. "Constrained Optimization of Average Arrival Time via a Probabilistic Approach to Transport Reliability," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
    117. 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.
    118. Zanni, Alberto M & Goulden, Murray & Ryley, Tim & Dingwall, Robert, 2017. "Improving scenario methods in infrastructure planning: A case study of long distance travel and mobility in the UK under extreme weather uncertainty and a changing climate," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 180-197.
    119. 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.

  22. Zheng Li & David Hensher, 2010. "Prospect Theoretic Contributions in Understanding Traveller Behaviour: A Review and Some Comments," Transport Reviews, Taylor & Francis Journals, vol. 31(1), pages 97-115, May.

    Cited by:

    1. Jou, Rong-Chang & Chen, Ke-Hong, 2013. "An application of cumulative prospect theory to freeway drivers’ route choice behaviours," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 123-131.
    2. Mark J. Koetse, 2017. "Effects of payment vehicle non-attendance in choice experiments on value estimates and the WTA–WTP disparity," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(3), pages 225-245, July.

  23. Li, Zheng & Rose, John M. & Hensher, David A., 2010. "Forecasting automobile petrol demand in Australia: An evaluation of empirical models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 16-38, January.

    Cited by:

    1. Li, Zheng & Zeng, Jingjing & Hensher, David A., 2023. "An efficient approach to structural breaks and the case of automobile gasoline consumption in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    2. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    3. Gkritza, Konstantina & Karlaftis, Matthew G. & Mannering, Fred L., 2011. "Estimating multimodal transit ridership with a varying fare structure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 148-160, February.
    4. Keshavarzian, Maryam & Kamali Anaraki, Sara & Zamani, Mehrzad & Erfanifard, Ali, 2012. "Projections of oil demand in road transportation sector on the basis of vehicle ownership projections, worldwide: 1972–2020," Economic Modelling, Elsevier, vol. 29(5), pages 1979-1985.
    5. Odeck, James & Johansen, Kjell, 2016. "Elasticities of fuel and traffic demand and the direct rebound effects: An econometric estimation in the case of Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 1-13.
    6. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.
    7. W H Boshoff, 2012. "Gasoline, Diesel Fuel And Jet Fuel Demand In South Africa," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 36(1), pages 43-78, April.
    8. Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.
    9. Ertugrul, H. Murat & Güngör, B. Oray & Soytas, Ugur, 2020. "The Effect of Covid-19 Outbreak on Turkish Diesel Consumption Volatility Dynamics," MPRA Paper 110166, University Library of Munich, Germany, revised 2020.
    10. Li, Zheng & Zhou, Bo & Hensher, David A., 2022. "Forecasting automobile gasoline demand in Australia using machine learning-based regression," Energy, Elsevier, vol. 239(PD).
    11. Sylvia Mardiana & Ferdinand Saragih & Martani Huseini, 2020. "Forecasting Gasoline Demand in Indonesia Using Time Series," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 132-145.
    12. Wang, Jue & Zhou, Hao & Hong, Tao & Li, Xiang & Wang, Shouyang, 2020. "A multi-granularity heterogeneous combination approach to crude oil price forecasting," Energy Economics, Elsevier, vol. 91(C).
    13. Jian Chai & Shubin Wang & Shouyang Wang & Ju’e Guo, 2012. "Demand Forecast of Petroleum Product Consumption in the Chinese Transportation Industry," Energies, MDPI, vol. 5(3), pages 1-22, March.
    14. Pelinescu, Elena & Anton, Lucian Vasile & Ionescu, Raluca & Tasca, Radu, 2010. "The Analysis of Local Budgets and Their Importance in the Fight Against the Economic Crisis Effects," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(5), pages 17-32.
    15. Bakhat, Mohcine & Rosselló, Jaume, 2013. "Evaluating a seasonal fuel tax in a mass tourism destination: A case study for the Balearic Islands," Energy Economics, Elsevier, vol. 38(C), pages 12-18.
    16. Al-Ghandoor, Ahmed & Jaber, Jamal & Al-Hinti, Ismael & Abdallat, Yousef, 2013. "Statistical assessment and analyses of the determinants of transportation sector gasoline demand in Jordan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 129-138.
    17. Melikoglu, Mehmet, 2013. "Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 393-400.
    18. Güngör, Bekir Oray & Ertuğrul, H. Murat & Soytaş, Uğur, 2021. "Impact of Covid-19 outbreak on Turkish gasoline consumption," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    19. Mohcine Bakhat & José M. Labeaga & Xavier Labandeira & Xiral Lñpez, 2013. "Economic Crisis and Elasticities of Car Fuels: Evidence for Spain," Working Papers fa15-2013, Economics for Energy.

  24. Hensher, David A. & Li, Zheng, 2010. "Accounting for differences in modelled estimates of RP, SP and RP/SP direct petrol price elasticities for car mode choice: A warning," Transport Policy, Elsevier, vol. 17(3), pages 191-195, May.

    Cited by:

    1. Yang, Dujuan & Timmermans, Harry, 2013. "Analysis of influence of fuel price on individual activity-travel time expenditure," Transport Policy, Elsevier, vol. 30(C), pages 40-55.
    2. Li, Zheng & Hensher, David A. & Rose, John M., 2011. "Identifying sources of systematic variation in direct price elasticities from revealed preference studies of inter-city freight demand," Transport Policy, Elsevier, vol. 18(5), pages 727-734, September.
    3. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    4. Matthew Beck & John Rose & David Hensher, 2011. "Behavioural responses to vehicle emissions charging," Transportation, Springer, vol. 38(3), pages 445-463, May.
    5. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    6. Fearnley, Nils & Currie, Graham & Flügel, Stefan & Gregersen, Fredrik A. & Killi, Marit & Toner, Jeremy & Wardman, Mark, 2018. "Competition and substitution between public transport modes," Research in Transportation Economics, Elsevier, vol. 69(C), pages 51-58.
    7. Agbelie, Bismark & Libnao, Kathleen, 2018. "Unobserved heterogeneity analysis of rail transit incident delays," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 39-43.

  25. Zheng Li & David A. Hensher, 2009. "Toll Roads in Australia: An Overview of Characteristics and Accuracy of Demand Forecasts," Transport Reviews, Taylor & Francis Journals, vol. 30(5), pages 541-569, July.

    Cited by:

    1. 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).

Books

  1. Robin Hickman & Moshe Givoni & David Bonilla & David Banister (ed.), 2015. "Handbook on Transport and Development," Books, Edward Elgar Publishing, number 14586.

    Cited by:

    1. Mejia-Dorantes, Lucia, 2018. "An example of working women in Mexico City: How can their vision reshape transport policy?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 97-111.
    2. Tianren Yang, 2020. "Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework," Environment and Planning B, , vol. 47(8), pages 1440-1455, October.
    3. Giorgio Locatelli, 2018. "Why are Megaprojects, Including Nuclear Power Plants, Delivered Overbudget and Late? Reasons and Remedies," Papers 1802.07312, arXiv.org.
    4. Suchi Malhotra & Howard White & Nina de la Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "PROTOCOL: Evidence and gap map: studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(1), March.
    5. Dean, M. & Hickman, R. & Chen, C.-L., 2019. "Testing the application of participatory MCA: The case of the South Fylde Line," Transport Policy, Elsevier, vol. 73(C), pages 62-70.
    6. Mengqiu Cao & Robin Hickman, 2018. "Car dependence and housing affordability: An emerging social deprivation issue in London?," Urban Studies, Urban Studies Journal Limited, vol. 55(10), pages 2088-2105, August.
    7. Pereira, Rafael H. M. & Boisjoly, Geneviève, 2021. "Social issues in transport planning: an introduction," SocArXiv pn2qd, Center for Open Science.
    8. Arefeh Nasri & Carlos Carrion & Lei Zhang & Babak Baghaei, 2020. "Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas," Transportation, Springer, vol. 47(1), pages 359-371, February.
    9. Médard de Chardon, Cyrille, 2019. "The contradictions of bike-share benefits, purposes and outcomes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 401-419.
    10. Debbie Hopkins & Enrique García Bengoechea & Sandra Mandic, 2021. "Adolescents and their aspirations for private car-based transport," Transportation, Springer, vol. 48(1), pages 67-93, February.
    11. Flyvbjerg, Bent & Ansar, Atif & Budzier, Alexander & Buhl, Søren & Cantarelli, Chantal & Garbuio, Massimo & Glenting, Carsten & Holm, Mette Skamris & Lovallo, Dan & Lunn, Daniel & Molin, Eric & Rønnes, 2018. "Five things you should know about cost overrun," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 174-190.
    12. Nick Chaloux & Genevieve Boisjoly & Emily Grise & Ahmed El-Geneidy & David Levinson, 2019. "Chaloux, Nick, Boisjoly, Genevieve, Grise, Emily, El-Geneidy, Ahmed, and Levinson, D. (2019) I only get some satisfaction: Introducing satisfaction into measures of accessibility," Working Papers 2019-07, University of Minnesota: Nexus Research Group.
    13. Boisjoly, Geneviève & El-Geneidy, Ahmed M., 2017. "The insider: A planners' perspective on accessibility," Journal of Transport Geography, Elsevier, vol. 64(C), pages 33-43.
    14. Nick Chaloux & Genevieve Boisjoly & Emily Grise & Ahmed El-Geneidy, & David Levinson, 2018. "I only get some satisfaction: Introducing satisfaction into measures of accessibility," Working Papers 170, University of Minnesota: Nexus Research Group.
    15. Bothe, Kristian & Hansen, Høgni Kalsø & Winther, Lars, 2018. "Spatial restructuring and uneven intra-urban employment growth in metro- and non-metro-served areas in Copenhagen," Journal of Transport Geography, Elsevier, vol. 70(C), pages 21-30.
    16. Janice Morphet, 2017. "Rescaling the suburban: New directions in the relationship between governance and infrastructure," Local Economy, London South Bank University, vol. 32(8), pages 803-817, December.
    17. Li, Tingting Elle & Chan, Eric Tak Hin, 2020. "Diaspora tourism and well-being over life-courses," Annals of Tourism Research, Elsevier, vol. 82(C).
    18. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    19. Rode, Philipp & Terrefe, Biruk & da Cruz, Nuno F., 2020. "Cities and the governance of transport interfaces: Ethiopia's new rail systems," Transport Policy, Elsevier, vol. 91(C), pages 76-94.

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