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Trip-timing decisions and congestion with household scheduling preferences

Author

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  • André de Palma

    (X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris, ENS Cachan - École normale supérieure - Cachan)

  • Robin Lindsey

    (Sauder - Sauder School of Business [British Columbia] - UBC - University of British Columbia)

  • Nathalie Picard

    (THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique, X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris)

Abstract

Most traffic congestion models assume that agents make trip-timing decisions independently and receive payoffs at the origin and destination that do not depend on whether other agents are present. We depart from this paradigm by considering a variant of Vickrey's bottleneck model of the morning commute in which individuals live as couples and value time at home more when together than when alone. We show that the costs of congestion can be higher than for a comparable population of individuals living alone. The costs can be even higher if spouses collaborate with each other when choosing their departure times. To calibrate the model we estimate trip-timing preferences for married and unmarried men and women in the Greater Paris region. Jel Classifications: D11, D70, R41.

Suggested Citation

  • André de Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Working Papers hal-01117732, HAL.
    • Handle: RePEc:hal:wpaper:hal-01117732
    Note: View the original document on HAL open archive server: https://hal.science/hal-01117732
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2024. "Commuting, Wages, and Household Behavior," IZA Discussion Papers 17128, Institute of Labor Economics (IZA).
    2. Nathalie Picard & Sophie Dantan & André de Palma, 2015. "Modelling mode choice within couples," Working Papers hal-01232229, HAL.
    3. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    4. André de Palma & Nathalie Picard & Robin Lindsey, 2024. "Activity and transportation decisions within households," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 16, pages 426-451, Edward Elgar Publishing.
    5. Zhang, Yuan & Zhao, Hui & Jiang, Rui, 2024. "Manage morning commute for household travels with parking space constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    6. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2021. "Two-way commuting: Asymmetries from time use surveys," Journal of Transport Geography, Elsevier, vol. 95(C).
    7. Lai, Xinjun & Lam, William H.K. & Su, Junbiao & Fu, Hui, 2019. "Modelling intra-household interactions in time-use and activity patterns of retired and dual-earner couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 172-194.
    8. Zhang, Fangni & Liu, Wei & Wang, Xiaolei & Yang, Hai, 2017. "A new look at the morning commute with household shared-ride: How does school location play a role?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 198-217.
    9. Su, Qida & Wang, David Z.W., 2020. "On the commute travel pattern with compressed work schedule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 334-356.
    10. Kaddoura, Ihab & Nagel, Kai, 2019. "Congestion pricing in a real-world oriented agent-based simulation context," Research in Transportation Economics, Elsevier, vol. 74(C), pages 40-51.
    11. Beck, Matthew J. & Hess, Stephane, 2016. "Willingness to accept longer commutes for better salaries: Understanding the differences within and between couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 1-16.
    12. Nathalie Picard & Sophie Dantan & André Palma, 2018. "Mobility decisions within couples," Theory and Decision, Springer, vol. 84(2), pages 149-180, March.
    13. Liu, Wei & Zhang, Fangni & Yang, Hai, 2017. "Modeling and managing morning commute with both household and individual travels," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 227-247.
    14. André de Palma & Patrick Stokkink & Nikolas Geroliminis, 2020. "Influence of Dynamic Congestion on Carpooling Matching," THEMA Working Papers 2020-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    15. Federico Librino & M. Elena Renda & Paolo Santi & Francesca Martelli & Giovanni Resta & Fabio Duarte & Carlo Ratti & Jinhua Zhao, 2020. "Home-work carpooling for social mixing," Transportation, Springer, vol. 47(5), pages 2671-2701, October.
    16. de Palma, André & Stokkink, Patrick & Geroliminis, Nikolas, 2022. "Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 479-498.

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    More about this item

    Keywords

    departure-time decisions; congestion; schedule delay costs; couple decision making; Pareto efficiency; collective models;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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