IDEAS home Printed from https://ideas.repec.org/a/bla/presci/v70y1991i1p37-52.html
   My bibliography  Save this article

Spatiotemporal Sequencing Processes Of Pedestrians In Urban Retail Environments

Author

Listed:
  • Xavier Van Der Hagen
  • Aloys Borgers
  • Harry Timmermans

Abstract

ABSTRACT In this article, the authors determine the extent to which several decision heuristics are present in pedestrians’spatial shopping behaviour in downtown retail environments. Two factors, length of the observed route and observed sequence in which destinations are visited, were used to define temporal heuristics. Further, two spatial heuristics were investigated: the tendency of some pedestrians to choose first the destination farthest away from the point they entered the city center and the tendency of others to choose first the destination closest to their entry point. Empirical analysis demonstrated that only a small proportion of the pedestrians reveals optimal choice behavior.

Suggested Citation

  • Xavier Van Der Hagen & Aloys Borgers & Harry Timmermans, 1991. "Spatiotemporal Sequencing Processes Of Pedestrians In Urban Retail Environments," Papers in Regional Science, Wiley Blackwell, vol. 70(1), pages 37-52, January.
  • Handle: RePEc:bla:presci:v:70:y:1991:i:1:p:37-52
    DOI: 10.1111/j.1435-5597.1991.tb01718.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1435-5597.1991.tb01718.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1435-5597.1991.tb01718.x?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
    ---><---

    Citations

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


    Cited by:

    1. Shigeyuki Kurose & Aloys W J Borgers & Harry J P Timmermans, 2001. "Classifying Pedestrian Shopping Behaviour According to Implied Heuristic Choice Rules," Environment and Planning B, , vol. 28(3), pages 405-418, June.
    2. Saarloos, Dick & Joh, Chang-Hyeon & Zhang, Junyi & Fujiwara, Akimasa, 2010. "A segmentation study of pedestrian weekend activity patterns in a central business district," Journal of Retailing and Consumer Services, Elsevier, vol. 17(2), pages 119-129.
    3. Paul M. Torrens, 2023. "Agent models of customer journeys on retail high streets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 87-128, January.

    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:bla:presci:v:70:y:1991:i:1:p:37-52. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1056-8190 .

    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.