IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

An Exploration of the Market for Traffic Information

Listed author(s):
  • Chan, Shirley
  • Malchow, Matthew
  • Kanafani, Adib
Registered author(s):

    Since traffic information is indirectly priced and experiences significant economies-of-scale, it can not be described by the classic demand model normally used to explain most goods. Therefore, this report focuses on the derivation of a demand model that describes the supply and cost mechanisms influencing the market for traffic information. This study includes a discussion of the history of the market, its economies-of-scale, and its potential for future development. In addition, recent developments of value-added-resellers, the differences which exist in the marketing of their products, and some factors influencing their success in the market for traffic information will also be discussed. Several suggestions for both the commercial broadcast stations and the public agencies that aim to maximize the total benefits of traffic information are presented.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:;origin=repeccitec
    Download Restriction: no

    Paper provided by University of California Transportation Center in its series University of California Transportation Center, Working Papers with number qt2j1347d4.

    in new window

    Date of creation: 01 Jun 1997
    Handle: RePEc:cdl:uctcwp:qt2j1347d4
    Contact details of provider: Postal:
    109 McLaughlin Hall, Mail Code 1720, Berkeley, CA 94720-1720

    Phone: 510-642-3585
    Fax: 510-643-3955
    Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Polydoropoulou, A. & Ben-akiva, M. & Khattak, A. & Lauprete, G., 1996. "Commuters' Normal And Shift Decisions In Unexpected Congestion: En Route Responses To Advanced Traveler Information Systems Volume 2," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9zg797p5, Institute of Transportation Studies, UC Berkeley.
    2. Malchow, M. & Kanafani, A. & Varaiya, P., 1997. "Modeling The Behavior Of Traffic Information Providers," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt38p572vt, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt2j1347d4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.