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Implications of congestion charging for departure time choice: Work and non-work schedule flexibility

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  1. Karlström, Anders & Franklin, Joel P., 2009. "Behavioral adjustments and equity effects of congestion pricing: Analysis of morning commutes during the Stockholm Trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 283-296, March.
  2. Tian, Ye & Li, Yudi & Sun, Jian & Ye, Jianhong, 2021. "Characterizing favored users of incentive-based traffic demand management program," Transport Policy, Elsevier, vol. 105(C), pages 94-102.
  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. Kristoffersson, Ida & Engelson, Leonid & Börjesson, Maria, 2017. "Efficiency vs equity: Conflicting objectives of congestion charges," Transport Policy, Elsevier, vol. 60(C), pages 99-107.
  5. Ida Kristoffersson & Leonid Engelson, 2011. "Modifications of the Stockholm congestion pricing scheme and effects on different user groups," ERSA conference papers ersa10p1455, European Regional Science Association.
  6. Li, Tianhao & Chen, Peng & Tian, Ye, 2021. "Personalized incentive-based peak avoidance and drivers’ travel time-savings," Transport Policy, Elsevier, vol. 100(C), pages 68-80.
  7. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
  8. Dissanayake, Dilum & Morikawa, Takayuki, 2010. "Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region," Journal of Transport Geography, Elsevier, vol. 18(3), pages 402-410.
  9. Holgui­n-Veras, Jose & Cetin, Mecit & Xia, Shuwen, 2006. "A comparative analysis of US toll policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 852-871, December.
  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. Beck, Matthew J. & Hensher, David A., 2022. "Working from home in Australia in 2020: Positives, negatives and the potential for future benefits to transport and society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 271-284.
  12. Marc-Edouard Schultheiss, 2022. "Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
  13. He, Sylvia Y., 2013. "Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California," Transport Policy, Elsevier, vol. 25(C), pages 210-221.
  14. Nurul Habib, Khandker & El-Assi, Wafic & Hasnine, Md. Sami & Lamers, James, 2017. "Daily activity-travel scheduling behaviour of non-workers in the National Capital Region (NCR) of Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 1-16.
  15. 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.
  16. 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.
  17. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
  18. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2020. "Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
  19. Saleh, Wafaa & Farrell, Séona, 2007. "Investigation and analysis of evidence of asymmetric churn in travel demand models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 691-702, August.
  20. Wen Jin & Hai Jiang & Yimin Liu & Erica Klampfl, 2017. "Do labeled versus unlabeled treatments of alternatives’ names influence stated choice outputs? Results from a mode choice study," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-24, August.
  21. Ge, Jiaqi & Polhill, J. Gareth & Craig, Tony P., 2018. "Too much of a good thing? Using a spatial agent-based model to evaluate “unconventional” workplace sharing programmes," Journal of Transport Geography, Elsevier, vol. 69(C), pages 83-97.
  22. Li, Haiying & Li, Xian & Xu, Xinyue & Liu, Jun & Ran, Bin, 2018. "Modeling departure time choice of metro passengers with a smart corrected mixed logit model - A case study in Beijing," Transport Policy, Elsevier, vol. 69(C), pages 106-121.
  23. Maurizio Faccio & Serena Finco & Ilenia Zennaro, 2021. "Sustainable People Home-Work Logistics: An Integrated Model of Circular Economy in the Chiampo Valley," Sustainability, MDPI, vol. 13(21), pages 1-13, October.
  24. Hu, Shucheng & Saleh, Wafaa, 2005. "Impacts of congestion charging on shopping trips in Edinburgh," Transport Policy, Elsevier, vol. 12(5), pages 443-450, September.
  25. Holgun-Veras, Jos & Cetin, Mecit, 2009. "Optimal tolls for multi-class traffic: Analytical formulations and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 445-467, May.
  26. José Holguín-Veras & Qian Wang & Ning Xu & Kaan Ozbay, 2011. "The impacts of time of day pricing on car user behavior: findings from the Port Authority of New York and New Jersey’s initiative," Transportation, Springer, vol. 38(3), pages 427-443, May.
  27. Xu, Hongli & Lou, Yingyan & Yin, Yafeng & Zhou, Jing, 2011. "A prospect-based user equilibrium model with endogenous reference points and its application in congestion pricing," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 311-328, February.
  28. Eliasson, Jonas & Mattsson, Lars-Göran, 2006. "Equity effects of congestion pricing: Quantitative methodology and a case study for Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 602-620, August.
  29. Nijland, Linda & Dijst, Martin, 2015. "Commuting-related fringe benefits in the Netherlands: Interrelationships and company, employee and location characteristics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 358-371.
  30. Farrell, Séona & Saleh, Wafaa, 2005. "Road-user charging and the modelling of revenue allocation," Transport Policy, Elsevier, vol. 12(5), pages 431-442, September.
  31. Tian, Ye & Li, Yudi & Sun, Jian, 2022. "Stick or carrot for traffic demand management? Evidence from experimental economics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 235-254.
  32. Kristoffersson, Ida & Engelson, Leonid, 2016. "Efficiency and equity of congestion charges," Working papers in Transport Economics 2016:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
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