IDEAS home Printed from https://ideas.repec.org/a/lde/journl/y2016i84p143-177.html
   My bibliography  Save this article

Safety perception in transport demand modeling for the bike-metro integration in Bogota, Colombia

Author

Listed:
  • Luis Márquez

    (Universidad Pedagógica y Tecnológica de Colombia)

Abstract

It is hypothesized that safety perception produces a significant effect on predicting demand for the bike-metro integration. Two models were calibrated in order to test this hypothesis: a mixed logit model and an integrated choice latent variable model, which were estimated simultaneously using simulated maximum likelihood. Data used in the estimation were taken in the locality of Kennedy, which is not only the most populous of Bogotá but also will be the starting point of the first metro line. The empirical evidence supported the hypothesis; in particular, it was found that the mixed model overestimates demand, especially in the scenarios for which provision of exclusive bicycle lanes was not considered. Also, significant differences in safety perception were found for users of motorcycle, taxis and public service, and generally for individuals according to income levels.

Suggested Citation

  • Luis Márquez, 2016. "Safety perception in transport demand modeling for the bike-metro integration in Bogota, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 84, pages 143-177, Enero - J.
  • Handle: RePEc:lde:journl:y:2016:i:84:p:143-177
    DOI: 10.17533/udea.le.n84a05
    as

    Download full text from publisher

    File URL: http://aprendeenlinea.udea.edu.co/revistas/index.php/lecturasdeeconomia/article/view/25647/21244
    Download Restriction: no

    File URL: https://libkey.io/10.17533/udea.le.n84a05?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    integrated choice and latent variable models; safety perception; discrete choice experiments; bikemetro integration;
    All these keywords.

    JEL classification:

    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lde:journl:y:2016:i:84:p:143-177. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Carlos Andrés Vasco Correa (email available below). General contact details of provider: https://edirc.repec.org/data/deantco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.