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The influence of quality and price on the demand for urban transport: the case of university students

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  • Bilbao Ubillos, J.
  • Fernández Sainz, A.

Abstract

The aim of this work is to estimate a transport demand function for university students in the Bilbao area and to obtain the main variables that condition this demand. To do this, we use a nested logit model. First, we estimate price and time elasticities, and second the potential effects of changing the available supply of public transport in order to draw new collective transport users away from private vehicles.

Suggested Citation

  • Bilbao Ubillos, J. & Fernández Sainz, A., 2004. "The influence of quality and price on the demand for urban transport: the case of university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(8), pages 607-614, October.
    • Handle: RePEc:eee:transa:v:38:y:2004:i:8:p:607-614
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    References listed on IDEAS

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    1. Brown, Jeffery & Hess, Daniel Baldwin & Shoup, Donald, 2001. "Unlimited Access," University of California Transportation Center, Working Papers qt96t810rj, University of California Transportation Center.
    2. Fredrik Carlsson, 2003. "The demand for intercity public transport: the case of business passengers," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 41-50.
    3. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    4. Jeffrey Brown & Daniel Hess & Donald Shoup, 2001. "Unlimited Access," Transportation, Springer, vol. 28(3), pages 233-267, August.
    5. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, January.
    6. David Hensher, 2001. "The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications," Transportation, Springer, vol. 28(2), pages 101-118, May.
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    Cited by:

    1. Barla, Philippe & Lapierre, Nathanael & Alvarez Daziano, Ricardo & Herrmann, Markus, 2012. "Reducing Automobile Dependency on Campus: Evaluating the Impact TDM Using Stated Preferences," Working Papers 121311, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    2. Mattia Cattaneo & Paolo Malighetti & Stefano Paleari & Renato Redondi, 2015. "Evolution of long distance students? mobility: the role of transport infrastructures in Italy," ERSA conference papers ersa15p1231, European Regional Science Association.
    3. Cattaneo, Mattia & Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2016. "The role of the air transport service in interregional long-distance students’ mobility in Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 66-82.
    4. Koliousis, Ioannis & Al-Surmi, Abdulrahman & Bashiri, Mahdi, 2024. "Artificial intelligence and policy making; can small municipalities enable digital transformation?," International Journal of Production Economics, Elsevier, vol. 274(C).
    5. Espino, Raquel & de Dios Ortúzar, Juan & Román, Concepción, 2007. "Understanding suburban travel demand: Flexible modelling with revealed and stated choice data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 899-912, December.

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