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Modal choice and optimal congestion

Author

Listed:
  • Quentin David

    (CREA, University of Luxembourg)

  • Renaud Foucart

    (ECARES, Université libre de Bruxelles)

Abstract

We study the choice of transportation modes within a city where commuters have het- erogeneous preferences for a car. As in standard models of externalities, the market outcome never maximizes aggregate welfare. We show that in the presence of multiple equilibria prob- lems of coordination can worsen this result. Hence, a social planner focusing on the marginal impact of policies may miss the largest source of inefficiency. We discuss two policy tools: taxation and traffic separation (e.g. exclusive lanes for public transportation). Setting the optimal levels of taxation and of traffic separation constitutes a necessary but not a sufficient condition to reach the first best equilibrium. Comparing the relative efficiency of both poli- cies, we show that traffic separation should be preferred for large-scale policies while taxation better applies to marginal modifications of commuting patterns.

Suggested Citation

  • Quentin David & Renaud Foucart, 2012. "Modal choice and optimal congestion," DEM Discussion Paper Series 12-03, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:12-03
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    References listed on IDEAS

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    Cited by:

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    3. 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.
    4. Joto, Keigo & Konagane, Joji & Kono, Tatsuhito & Kuwahara, Masao, 2020. "Optimal Location-dependent Pricing Policies on Railways and Roads in a Continuous City," MPRA Paper 100446, University Library of Munich, Germany.
    5. David, Quentin & Kilani, Moez, 2022. "Transport policies in polycentric cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 101-117.
    6. Chiara Calastri & Simone Borghesi & Giorgio Fagiolo, 2019. "How do people choose their commuting mode? An evolutionary approach to travel choices," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 887-912, October.
    7. Basso, Leonardo J. & Navarro, Matias & Silva, Hugo E., 2021. "Public transport and urban structure," Economics of Transportation, Elsevier, vol. 28(C).
    8. Simone Borghesi & Chiara Calastri & Giorgio Fagiolo, 2014. "How do people choose their commuting mode? An evolutionary approach to transport choices," LEM Papers Series 2014/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    10. Basso, Leonardo J. & Montero, Juan-Pablo & Sepúlveda, Felipe, 2021. "A practical approach for curbing congestion and air pollution: Driving restrictions with toll and vintage exemptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 330-352.
    11. Guo, Ren-Yong & Szeto, W.Y., 2018. "Day-to-day modal choice with a Pareto improvement or zero-sum revenue scheme," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 1-25.

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    More about this item

    Keywords

    Modal choice; Coordination; Network effect; Cross-modal congestion;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • L5 - Industrial Organization - - Regulation and Industrial Policy
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

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