IDEAS home Printed from https://ideas.repec.org/a/ags/ssaaea/232735.html
   My bibliography  Save this article

Using Mobile Application Data, Population Size, Accessibility, and Value Judgements in Public Transit Improvements

Author

Listed:
  • Boisvert, Marie-Francis

Abstract

In order to maintain transit systems, information about them is needed. This article provides information regarding the absence of correlation between transit use, population density, and accessibility. To this end, mobile application data is used. The data is from an application called Transit App that enables easy navigation within transit systems. In North America, the transportation mode share of the automobile is very high. One consequence of the North American population’s high automobile dependency is high auto travel demand on roads. Concurrently, the ability to build additional infrastructure is limited and, in some cases, impossible. As a result, traffic congestion levels have increased significantly, particularly in the past decade. (Schrank, Eisele, and Lomax 2012). Traffic congestion negatively affects transportation efficiency and also creates negative environmental externalities. As Vukan Vuchic stated in Transportation for Livable Cities: “Unrestricted individual behaviour collides with socially optimal behavior” (1999). One solution to the problem of traffic congestion is to increase the mode share of public transportation. But what can induce urban North American populations to trade their automobiles in favor of public transit? What are the qualities a public transit system must have for a significant proportion of the population to frequent it? One of the ways to approach this question is to investigate where people do and do not use it. In this article, public transit in all 19 boroughs of Montreal is considered. Population density is compared to transit use to determine whether transit use is homogenous in all Montreal boroughs. The results are then discussed within the context of other public transit research. The results will hopefully disambiguate some of the factors that influence public transit use in Montreal. This knowledge may facilitate the creation of coherent goals and purposes for public transit in general and the Société de Transport de Montréal in particular.

Suggested Citation

  • Boisvert, Marie-Francis, 2014. "Using Mobile Application Data, Population Size, Accessibility, and Value Judgements in Public Transit Improvements," SS-AAEA Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 2014, pages 1-12.
    • Handle: RePEc:ags:ssaaea:232735
    DOI: 10.22004/ag.econ.232735
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/232735/files/Marie-FranceBoisvertFinal.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.232735?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
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
    2. Rotaris, Lucia & Danielis, Romeo, 2015. "Commuting to college: The effectiveness and social efficiency of transportation demand management policies," Transport Policy, Elsevier, vol. 44(C), pages 158-168.
    3. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    4. Sottile, Eleonora & Giacchetti, Tommaso & Tuveri, Giovanni & Piras, Francesco & Calli, Daniele & Concas, Vittoria & Zamberlan, Leonardo & Meloni, Italo & Carrese, Stefano, 2021. "An innovative GPS smartphone based strategy for university mobility management: A case study at the University of RomaTre, Italy," Research in Transportation Economics, Elsevier, vol. 85(C).

    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:ags:ssaaea:232735. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.