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articles: Competing destinations and intervening opportunities interaction models of inter-city telecommunication flows

Author

Listed:
  • Jean-Michel Guldmann

    (Department of City and Regional Planning, The Ohio State University, Columbus, Ohio 43210, USA)

Abstract

This research makes use of a large sample of individual telephone calls between local exchanges (cities, towns, villages) within a U.S. region. The interlocational flows, measured in conversation seconds, are analyzed by estimating, in a simultaneous equation framework, spatial interaction models that account for (1) the role of the spatial structure, which reflects the competition and agglomeration effects that take place among the flow destinations, and (2) the role of the reverse flows, which reflect the process of information creation necessary to complete economic and social transactions. A particular focus is set on Fotheringham's competing destinations model and Stouffer's intervening opportunities model. The implications of the results are discussed and areas for further research are outlined.

Suggested Citation

  • Jean-Michel Guldmann, 1999. "articles: Competing destinations and intervening opportunities interaction models of inter-city telecommunication flows," Papers in Regional Science, Springer;Regional Science Association International, vol. 78(2), pages 179-194.
    • Handle: RePEc:spr:presci:v:78:y:1999:i:2:p:179-194
    Note: Received: 1 September 1998
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    Citations

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    Cited by:

    1. Celik, H. Murat & Guldmann, Jean-Michel, 2002. "Spatial interaction modeling of interregional commodity flows," ERSA conference papers ersa02p121, European Regional Science Association.
    2. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    3. Chris Benner, 2006. "'South Africa On-call': Information Technology and Labour Market Restructuring in South African Call Centres," Regional Studies, Taylor & Francis Journals, vol. 40(9), pages 1025-1040.
    4. David Jung-Hwi Lee & Jean-Michel Guldmann, 2023. "Optimal Regional Allocation of Future Population and Employment under Urban Boundary and Density Constraints: A Spatial Interaction Modeling Approach," Land, MDPI, vol. 12(2), pages 1-33, February.
    5. Murat Celik, H. & Guldmann, Jean-Michel, 2007. "Spatial interaction modeling of interregional commodity flows," Socio-Economic Planning Sciences, Elsevier, vol. 41(2), pages 147-162, June.
    6. Louis Grange & Felipe González & Juan Muñoz & Sebastián Raveau, 2014. "An Improved Stirling Approximation for Trip Distribution Models," Networks and Spatial Economics, Springer, vol. 14(3), pages 531-548, December.

    More about this item

    Keywords

    Telecommunication flows; spatial interactions; spatial structure; econometric estimation;
    All these keywords.

    JEL classification:

    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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