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

City-Scale Transport Modeling: An Approach for Nairobi, Kenya

Listed author(s):
  • Daganzo, C. F.
  • Li, Yuwei
  • Gonzales, Eric J.
  • Geroliminis, Nikolas
Registered author(s):

    Traffic congestion poses problems for cities around the world, especially in rapidly growing and motorizing cities like Nairobi, Kenya. We show here how we plan to use in the context of Nairobi a new theory that relates the mobility provided by a city’s street network to the number of vehicles on the network (including private cars and public transport) and to key aggregate descriptors of both the street infrastructure and the public transport services. Conventional micro-simulation models require vast quantities of data and produce unreliable detailed results. The new theory asserts that a micro-simulation of a simplified, abstract city resembling Nairobi in the key aggregate descriptors provides reproducible aggregate mobility predictions, and the effort in doing so is orders of magnitude smaller than with the conventional approach. Described in detail are the input data required to construct the idealized network including formal and informal public transport services and to calibrate the simulation model with current demand conditions. The outputs of the model and their practical use for scenario analysis are also discussed.

    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 Institute of Transportation Studies, UC Berkeley in its series Institute of Transportation Studies, Research Reports, Working Papers, Proceedings with number qt7hk8d77b.

    in new window

    Date of creation: 01 Jun 2007
    Handle: RePEc:cdl:itsrrp:qt7hk8d77b
    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. Daganzo, Carlos F., 2007. "Urban gridlock: Macroscopic modeling and mitigation approaches," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 49-62, January.
    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:itsrrp:qt7hk8d77b. 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.