IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v32y1998i2p149-157.html
   My bibliography  Save this article

A short-cut method for strategy optimisation using strategic transport models

Author

Listed:
  • Fowkes, A. S.
  • Bristow, A. L.
  • Bonsall, P. W.
  • May, A. D.

Abstract

This paper describes a methodology which permits optimal strategies for strategic transport models to be found by use of a limited number of model runs together with regression modelling of the resulting response surface. Typically, it will be the case that the number of policy variables is sufficiently large that the strategic model cannot be run for all possible combinations of their levels. Furthermore it can be very difficult to interpret the results from a large number of model runs where there are a lot of policy variables changing levels between runs. The proposed methodology models the response surface specifically in the locality of the optimum, thereby greatly clarifying what policy combinations should be further tested with the strategic model. A case study, for the city of Edinburgh, indicates that this methodology can identify improved strategies compared to conventional methods, even when the number of model runs used are far fewer than with the conventional methods.

Suggested Citation

  • Fowkes, A. S. & Bristow, A. L. & Bonsall, P. W. & May, A. D., 1998. "A short-cut method for strategy optimisation using strategic transport models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(2), pages 149-157, February.
    • Handle: RePEc:eee:transa:v:32:y:1998:i:2:p:149-157
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965-8564(97)00029-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vold, Arild, 2005. "Optimal land use and transport planning for the Greater Oslo area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 548-565, July.
    2. Xiao, Weihua, 2005. "Evaluation of Resource Allocation Strategies in Incident Management Systems," 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005 208169, Transportation Research Forum.
    3. Jonsson, R. Daniel, 2008. "Analysing sustainability in a land-use and transport system," Journal of Transport Geography, Elsevier, vol. 16(1), pages 28-41.

    More about this item

    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:eee:transa:v:32:y:1998:i:2:p:149-157. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.