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Commuting for meetings

Author

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  • Fosgerau, Mogens
  • Engelson, Leonid
  • Franklin, Joel

Abstract

Urban congestion causes travel times to exhibit considerable variability, which leads to coordination problems when people have to meet. We analyze a game for the timing of a meeting between two players who must each complete a trip of random duration to reach the meeting, which does not begin until both are present. Players prefer to depart later and also to arrive sooner, provided they do not have to wait for the other player. We find a unique Nash equilibrium, and a continuum of Pareto optima that are strictly better than the Nash equilibrium for both players. Pareto optima may be implemented as Nash equilibria by penalty or compensation schemes.

Suggested Citation

  • Fosgerau, Mogens & Engelson, Leonid & Franklin, Joel, 2014. "Commuting for meetings," MPRA Paper 54335, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:54335
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    References listed on IDEAS

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    1. André de Palma & Robin Lindsey & Emile Quinet & Robert Vickerman, 2011. "Handbook Of Transport Economics," PSE-Ecole d'économie de Paris (Postprint) halshs-00754912, HAL.
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    3. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
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    11. Arnott, Richard J. & Greenwald, Bruce & Kanbur, Ravi & Nalebuff, Barry, 2003. "Joseph Stiglitz and Economics for an Imperfect World," Working Papers 127202, Cornell University, Department of Applied Economics and Management.
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    Cited by:

    1. Palma, André de & Lindsey, Robin & Picard, Nathalie, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Economics of Transportation, Elsevier, vol. 4(1), pages 118-131.
    2. Engelson, Leonid & Fosgerau, Mogens, 2016. "The cost of travel time variability: Three measures with properties," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 555-564.
    3. Monchambert, Guillaume & de Palma, André, 2014. "Public transport reliability and commuter strategy," Journal of Urban Economics, Elsevier, vol. 81(C), pages 14-29.
    4. Zhao, Yan & Guo, Xiaolei & Liu, Henry X., 2021. "The impact of autonomous vehicles on commute ridesharing with uncertain work end time," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 221-248.
    5. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    6. 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.
    7. Zhang, Wei & Jenelius, Erik & Ma, Xiaoliang, 2017. "Freight transport platoon coordination and departure time scheduling under travel time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 1-23.

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    More about this item

    Keywords

    congestion; random travel time variability; coordination game;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D1 - Microeconomics - - Household Behavior
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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