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Discomfort in mass transit and its implication for scheduling and pricing

Author

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  • André De Palma

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

  • Moez Kilani

    (EQUIPPE - Economie Quantitative, Intégration, Politiques Publiques et Econométrie - Université de Lille, Sciences et Technologies - Université de Lille, Sciences Humaines et Sociales - PRES Université Lille Nord de France - Université de Lille, Droit et Santé, LEM - Lille - Economie et Management - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Stef Proost

    (Center for Economic Studies - CES - KU Leuven - CES - KU Leuven)

Abstract

This paper discusses the formulation of crowding in public transport and its implications for pricing, seating capacity and optimal scheduling. An analytical model is used to describe the user equilibrium and the optimal equilibrium for different stylized conditions. For the one OD pair case with identical desired arrival time, we derive the optimal dynamic pricing and optimal share of seats. For the uniformly distributed desired arrival times case, we derive the optimal time table and the optimal pricing. Next we generalize the results to the case of a small network with several stations, stochastic choice and allocation of seats.

Suggested Citation

  • André De Palma & Moez Kilani & Stef Proost, 2015. "Discomfort in mass transit and its implication for scheduling and pricing," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311131, HAL.
  • Handle: RePEc:hal:cesptp:hal-01311131
    DOI: 10.1016/j.trb.2014.10.001
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01311131
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