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The development of an intervening opportunities model with spatial dominance effects

Author

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  • Siaw Akwawua

    (Department of Geography, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 5A5 (e-mail: akwawua@artslab.usask.ca; jpooler@sympatico.sk.ca))

  • James A. Pooler

    (Department of Geography, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 5A5 (e-mail: akwawua@artslab.usask.ca; jpooler@sympatico.sk.ca))

Abstract

. In this paper an intervening opportunities model with spatial dominance is developed. The usual assumption in spatial theory is that decision makers are influenced not just by the size of a destination or distance but by these two factors in combination, that is, spatial dominance. Decision-makers will have more knowledge about, and clearly perceive destinations that exert the greatest amount of spatial dominance on their origins, just as they would primate cities. Thus destinations are ranked in terms of the spatial dominance calculated for each destination. Empirical verification of the model utilizes state-to-state migration flow data for the US. Calibration results compare favourably with the traditional intervening opportunities model and the production constrained gravity model.

Suggested Citation

  • Siaw Akwawua & James A. Pooler, 2001. "The development of an intervening opportunities model with spatial dominance effects," Journal of Geographical Systems, Springer, vol. 3(1), pages 69-86, May.
    • Handle: RePEc:kap:jgeosy:v:3:y:2001:i:1:d:10.1007_pl00011468
    DOI: 10.1007/PL00011468
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    Citations

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    Cited by:

    1. Gonzalo Suarez & Rachata Muneepeerakul, 2022. "Modeling human migration driven by changing mindset, agglomeration, social ties, and the environment," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-11, February.
    2. S. Veenstra & T. Thomas & S. Tutert, 2010. "Trip distribution for limited destinations: a case study for grocery shopping trips in the Netherlands," Transportation, Springer, vol. 37(4), pages 663-676, July.
    3. Mihails Hazans, 2004. "Does Commuting Reduce Wage Disparities?," Growth and Change, Wiley Blackwell, vol. 35(3), pages 360-390, September.
    4. Hazans, Mihails, 2003. "Commuting in the Baltic States: Patterns, determinants and gains," ZEI Working Papers B 02-2003, University of Bonn, ZEI - Center for European Integration Studies.
    5. Lenormand, Maxime & Bassolas, Aleix & Ramasco, José J., 2016. "Systematic comparison of trip distribution laws and models," Journal of Transport Geography, Elsevier, vol. 51(C), pages 158-169.
    6. Mohsen Nazem & Martin Trépanier & Catherine Morency, 2015. "Revisiting the destination ranking procedure in development of an Intervening Opportunities Model for public transit trip distribution," Journal of Geographical Systems, Springer, vol. 17(1), pages 61-81, January.
    7. Oshan, Taylor M., 2022. "Spatial Interaction Modeling," OSF Preprints m3ah8, Center for Open Science.
    8. Hazans, Mihails, 2002. "Social returns to commuting in the Baltic states," ERSA conference papers ersa02p232, European Regional Science Association.

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