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Distributional effects of public transport policies in the Paris Region

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  • Bureau, Benjamin
  • Glachant, Matthieu

Abstract

This paper examines the distributional effects of alternative scenarios of urban public transport policies in the Paris Region using disaggregated data from the Global Transport Survey 2001-2002. We study two types of scenarios: fare adjustments, as in previous work, but also speed increase scenarios. We find that reducing public transport fares is progressive. Increasing the speed of public transport is also progressive whatever the mode. The most progressive option is to increase the speed of buses in the suburbs, while targeting the metro or the suburban rail are the least progressive alternatives. More generally, low-income individuals benefit more from fare reductions than from increases in public transport speed.

Suggested Citation

  • Bureau, Benjamin & Glachant, Matthieu, 2011. "Distributional effects of public transport policies in the Paris Region," Transport Policy, Elsevier, vol. 18(5), pages 745-754, September.
    • Handle: RePEc:eee:trapol:v:18:y:2011:i:5:p:745-754
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    4. Asplund, Disa & Pyddoke, Roger, 2018. "Can increases in public transport supply be justified by concern for low-income individuals?," Working papers in Transport Economics 2018:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 30 Mar 2020.
    5. Rubensson, Isak & Susilo, Yusak & Cats, Oded, 2020. "Is flat fare fair? Equity impact of fare scheme change," Transport Policy, Elsevier, vol. 91(C), pages 48-58.
    6. Marion Leroutier & Philippe Quirion, 2021. "Tackling Transport-Induced Pollution in Cities: A case Study in Paris," Working Papers 2021.07, FAERE - French Association of Environmental and Resource Economists.
    7. Tovar Reanos, Miguel, 2020. "Car ownership and the distributional and environmental policies to reduce driving behavior," Papers WP673, Economic and Social Research Institute (ESRI).
    8. Welch, Timothy F. & Mishra, Sabyasachee, 2013. "A measure of equity for public transit connectivity," Journal of Transport Geography, Elsevier, vol. 33(C), pages 29-41.
    9. Welch, Timothy F., 2013. "Equity in transport: The distribution of transit access and connectivity among affordable housing units," Transport Policy, Elsevier, vol. 30(C), pages 283-293.
    10. Xiaohong Chen & Xiang Wang & Hua Zhang & Jia Li, 2014. "The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study," Sustainability, MDPI, vol. 6(11), pages 1-17, November.
    11. Martínez-Jaramillo, Juan Esteban & Arango-Aramburo, Santiago & Álvarez-Uribe, Karla C. & Jaramillo-Álvarez, Patricia, 2017. "Assessing the impacts of transport policies through energy system simulation: The case of the Medellin Metropolitan Area, Colombia," Energy Policy, Elsevier, vol. 101(C), pages 101-108.
    12. 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. Guzman, Luis A. & Hessel, Philipp, 2022. "The effects of public transport subsidies for lower-income users on public transport use: A quasi-experimental study," Transport Policy, Elsevier, vol. 126(C), pages 215-224.
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