IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v14y1982i5p629-658.html
   My bibliography  Save this article

Spatial Aggregation in Gravity Models: 3. Two-Dimensional Trip Distribution and Location Models

Author

Listed:
  • M Batty
  • P K Sikdar

Abstract

This is the third of four papers and in it the methodology for analysing spatial aggregation in gravity models outlined in the first paper is further elaborated. In the second paper, the methodology was applied to one-dimensional spatial interaction models of the population density type, with some success; and here it is proposed to apply the methodology to two-dimensional spatial interaction models using the same data base, the Reading (UK) region. Accordingly, the methodology is first stated for linking information in data measured by spatial entropy to the parameters of models generated from spatial entropy. The family of four spatial interaction models due to Cordey-Hayes and Wilson is then derived, the canonical forms of their associated spatial entropy functions presented, and the analytic properties of such models explored. These four models are then fitted to spatial aggregations of the Reading region, and various empirical relationships between their entropies and parameters described. The results are not as regular as those of the models in the second paper because of more variable model performance, but nevertheless a means of approximating scale parameters from data based on the work of Kirby is outlined. This enables estimates of the dispersion parameters to be made through the canonical forms. Although the results are poor because of model performance, the methodology outlined here serves as a basis for the more fully fledged application to be discussed in the final paper.

Suggested Citation

  • M Batty & P K Sikdar, 1982. "Spatial Aggregation in Gravity Models: 3. Two-Dimensional Trip Distribution and Location Models," Environment and Planning A, , vol. 14(5), pages 629-658, May.
  • Handle: RePEc:sae:envira:v:14:y:1982:i:5:p:629-658
    DOI: 10.1068/a140629
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a140629
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a140629?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. Cabrera Delgado, Jorge & Bonnel, Patrick, 2016. "Level of aggregation of zoning and temporal transferability of the gravity distribution model: The case of Lyon," Journal of Transport Geography, Elsevier, vol. 51(C), pages 17-26.
    2. Stępniak, Marcin & Jacobs-Crisioni, Chris, 2017. "Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications," Journal of Transport Geography, Elsevier, vol. 61(C), pages 17-29.
    3. Jens Petter Gitlesen & Inge Thorsen & Jan Ubøe, 2004. "Misspecifications in modelling journeys to work," ERSA conference papers ersa04p420, European Regional Science Association.
    4. Gitlesen, Jens Petter & Thorsen, Inge & Ubøe, Jan, 2004. "Misspecifications due to aggregation of data in models for journeys-to-work," Discussion Papers 2004/13, Norwegian School of Economics, Department of Business and Management Science.

    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:14:y:1982:i:5:p:629-658. 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.