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Trip-timing decisions and congestion with household scheduling preferences

Author

Listed:
  • André De Palma

    (ENS Cachan - École normale supérieure - Cachan, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Robin Lindsey

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

  • Nathalie Picard

    (X - École polytechnique - IP Paris - Institut Polytechnique de Paris, UCP - Université de Cergy Pontoise - Université Paris-Seine)

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.

Suggested Citation

  • André De Palma & Robin Lindsey & Nathalie Picard, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311128, HAL.
    • Handle: RePEc:hal:cesptp:hal-01311128
    DOI: 10.1016/j.ecotra.2015.02.001
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    Cited by:

    1. 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).
    2. Nathalie Picard & André de Palma, 2025. "Residential Location Models: Analyzing Segregation, Borrowing Constraints, and Policy Implications," Working Papers of BETA 2025-33, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. 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), CY Cergy-Paris University, ESSEC and CNRS.
    4. Jośé Ignacio Giménez-Nadal & José Alberto Molina & Jorge Velilla, 2025. "Commuting, Wages, and Household Decisions," Boston College Working Papers in Economics 1087, Boston College Department of Economics.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Nathalie Picard & Sophie Dantan & André de Palma, 2015. "Modelling mode choice within couples," Thema Working Papers 2015-17, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    12. 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.
    13. 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.
    14. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2024. "Commuting, Wages, and Household Behavior," IZA Discussion Papers 17128, Institute of Labor Economics (IZA).
    15. 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.
    16. 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).
    17. Wang, Tao & Wang, Tao & Liao, Peng & Cao, Feng & Tang, Tie-Qiao & Ning, Donghong, 2025. "Diverging and merging of household and individual commuter flows in morning commute problem," Transport Policy, Elsevier, vol. 169(C), pages 101-115.
    18. 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.
    19. Nathalie Picard & Sophie Dantan & André Palma, 2018. "Mobility decisions within couples," Theory and Decision, Springer, vol. 84(2), pages 149-180, March.

    More about this item

    Keywords

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    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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