IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v7y1975i8p965-979.html
   My bibliography  Save this article

A Predictive Model of Urban Stock and Activity: 1. Theoretical Considerations

Author

Listed:
  • M A O Ayeni

    (Department of Geography, University of Ibadan, Ibadan, Nigeria)

Abstract

Urban systems are dynamic and hence require predictive models that incorporate the element of time more explicitly. Comparative static models of the Lowry type may be embellished by the use of the entropy-maximizing methodology and by slight reformulations of the equations by the introduction of simple lags. The result is a quasi-dynamic or dynamic model of urban spatial structure. This is the first of two papers, in which the issues involved in the construction of predictive models are discussed and the equation systems of the model developed. The operationalization of the concepts and the empirical development of the model for a Nigerian city will be discussed in the paper to follow.

Suggested Citation

  • M A O Ayeni, 1975. "A Predictive Model of Urban Stock and Activity: 1. Theoretical Considerations," Environment and Planning A, , vol. 7(8), pages 965-979, December.
  • Handle: RePEc:sae:envira:v:7:y:1975:i:8:p:965-979
    DOI: 10.1068/a070965
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a070965
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a070965?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:7:y:1975:i:8:p:965-979. 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.