IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v31y1999i4p613-627.html
   My bibliography  Save this article

Trade-Area Models and Choice-Based Samples: Methods

Author

Listed:
  • M E O'Kelly

    (Department of Geography, Ohio State University, Columbus, OH 43210, USA)

Abstract

The use of choice-based data to generate parameters of a trade-area gravity model is described in detail in this paper. The importance of being able to estimate parameters with data collected from individuals who have selected a particular alternative is explained. The main advantage of the new method is that it allows the efficient use of easily collected data. It also allows inferences to be made about the distance-decay rates and attraction parameters, even when only a small subset of stores is sampled from an area. This new version of the retail gravity model has been tested extensively with data for 6 major retail centers in Dallas. The detailed studies include a demonstration of the conventional approaches to trade-area mapping and an explanation of exactly what is different about the method proposed here. Interpretation of the model results indicates areas where a store either gains an unexpectedly high (or low) share of its sales. These methods have immediate application in screening potential locations because the variables used to run the model are generic and easily gathered for other cases. The results also encourage the rethinking of the Huff-based gravity model.

Suggested Citation

  • M E O'Kelly, 1999. "Trade-Area Models and Choice-Based Samples: Methods," Environment and Planning A, , vol. 31(4), pages 613-627, April.
    • Handle: RePEc:sae:envira:v:31:y:1999:i:4:p:613-627
    DOI: 10.1068/a310613
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a310613
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a310613?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
    ---><---

    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:sae:envira:v:31:y:1999:i:4:p:613-627. 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: SAGE Publications (email available below). General contact details of provider: .

    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.