IDEAS home Printed from https://ideas.repec.org/a/taf/jpropr/v19y2002i4p291-311.html
   My bibliography  Save this article

Dispersion of stores of the same type in shopping malls: theory and preliminary evidence

Author

Listed:
  • Charles C. Carter
  • William J. Haloupek

Abstract

A theoretical justification is set out for the dispersion of non-anchor stores by store type in shopping malls and some preliminary evidence presented to support it. The basic theoretical outline of spatial economic behaviour developed by Ingene and Ghosh (Geographical Analysis, 22(1), 70-93, 1990) is first considered and it is expanded to include customer traffic in two directions. The results of this economic model of customer behaviour are discussed in the context of shopping malls. Simple assumptions about points of supply and demand in shopping malls provide the basis for a general test of the model. Using an algorithm called the p-median problem, and a data base of several regional and super-regional shopping malls scattered throughout the United States, it was found that the supply of goods of the same type was dispersed throughout the mall and consistent with the model.

Suggested Citation

  • Charles C. Carter & William J. Haloupek, 2002. "Dispersion of stores of the same type in shopping malls: theory and preliminary evidence," Journal of Property Research, Taylor & Francis Journals, vol. 19(4), pages 291-311.
    • Handle: RePEc:taf:jpropr:v:19:y:2002:i:4:p:291-311
    DOI: 10.1080/0959991022000013550
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0959991022000013550
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0959991022000013550?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
    ---><---

    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. Eckert, Andrew & He, Zhen & West, Douglas S., 2013. "An empirical examination of clustering and dispersion within Canadian shopping centers," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 625-633.
    2. Ceren Erdin & Halil Emre Akbaş, 2019. "A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey," Sustainability, MDPI, vol. 11(14), pages 1-22, July.

    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:taf:jpropr:v:19:y:2002:i:4:p:291-311. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJPR20 .

    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.