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An empirical test of the competing destinations model

Author

Listed:
  • Pingzhao Hu

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

  • Jim Pooler

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

Abstract

. It has long been believed that properties of spatial structure have a strong effect on trip distribution, which thus leads to a bias in the estimated distance decay parameters of spatial interaction models. This paper is an attempt to identify to what extent the spatial structure effect affects the trip distribution and determine whether the incorporation of a term to account for the relative location of destinations into the conventional gravity models, results in a model that can more correctly represent the actual trip distribution. The main focus is on the comparison of the origin–specific estimates of the distance decay parameter, calibrated from the traditional production-constrained model and the production-constrained competing destinations model. The results show that the competing destinations model is superior to the conventional model in both reproducing the interaction flows and giving behavioral explanation to the distance decay parameters, but the essential aim of the competing destinations model to remove the map pattern from the distance decay parameters of the conventional model has not been identified.

Suggested Citation

  • Pingzhao Hu & Jim Pooler, 2002. "An empirical test of the competing destinations model," Journal of Geographical Systems, Springer, vol. 4(3), pages 301-323, October.
    • Handle: RePEc:kap:jgeosy:v:4:y:2002:i:3:d:10.1007_s101090200088
    DOI: 10.1007/s101090200088
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    Citations

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    Cited by:

    1. 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.
    2. Dolega, Les & Pavlis, Michalis & Singleton, Alex, 2016. "Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 78-90.
    3. Andres Sevtsuk & Raul Kalvo, 2018. "Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size," Environment and Planning B, , vol. 45(3), pages 508-528, May.
    4. Timo Mitze & Torben Schmidt, 2015. "Internal migration, regional labor markets and the role of agglomeration economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 61-101, October.
    5. Kamar Ali & M. Rose Olfert & Mark Partridge, 2011. "Urban Footprints in Rural Canada: Employment Spillovers by City Size," Regional Studies, Taylor & Francis Journals, vol. 45(2), pages 239-260.
    6. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    7. Ana Lúcia Marto Sargento, 2007. "Empirical Examination of the Gravity Model in two Different Contexts: Estimation and Explanation," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 27(2), pages 103-127, August.
    8. Louis Grange & Angel Ibeas & Felipe González, 2011. "A Hierarchical Gravity Model with Spatial Correlation: Mathematical Formulation and Parameter Estimation," Networks and Spatial Economics, Springer, vol. 11(3), pages 439-463, September.
    9. Joshua Drucker, 2012. "The Spatial Extent of Agglomeration Economies: Evidence from Three U.S. Manufacturing Industries," Working Papers 12-01, Center for Economic Studies, U.S. Census Bureau.

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