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Are users better-off with new transit lines?

Author

Listed:
  • Moez Kilani

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique, ULCO - Université du Littoral Côte d'Opale)

  • André de Palma

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Stef Proost

    (KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven)

Abstract

This paper studies the entry of new competitors in public transport like long distance busses that compete with rail. A stylized model is used that analyzes the addition of a new more direct line in an existing network. We show that the introduction of the new line is only beneficial if there are relatively many users that want to use the new direct line. Our result raises serious concerns with respect to the decentralized management of transit systems.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Moez Kilani & André de Palma & Stef Proost, 2017. "Are users better-off with new transit lines?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01794958, HAL.
    • Handle: RePEc:hal:cesptp:hal-01794958
    DOI: 10.1016/j.tra.2017.05.029
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    Cited by:

    1. Avenali, Alessandro & Gregori, Martina & Reverberi, Pierfrancesco, 2023. "Intercity bus and rail services: Competition and welfare effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    2. David, Quentin & Kilani, Moez, 2022. "Transport policies in polycentric cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 101-117.
    3. Xin, Mengwei & Shalaby, Amer, 2024. "Investigation of the interaction between urban rail ridership and network topology characteristics using temporal lagged and reciprocal effects: A case study of Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    4. Zulqarnain H. Khattak & Mark J. Magalotti & John S. Miller & Michael D. Fontaine, 2017. "Using New Mode Choice Model Nesting Structures to Address Emerging Policy Questions: A Case Study of the Pittsburgh Central Business District," Sustainability, MDPI, vol. 9(11), pages 1-16, November.

    More about this item

    JEL classification:

    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods

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