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Intraregional Flow Problem in Spatial Econometric Model for Origin—Destination Flows

Author

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  • Morito Tsutsumi

    (Division of Policy and Planning Sciences, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki 305-8573, Japan)

  • Kazuki Tamesue

    (Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki 305-8573, Japan)

Abstract

The gravity model is used in a variety of fields to explain spatial interaction behavior such as transportation, commodity, or migration flows, but the model assumes observed flows to be independent and thus affected by spatial autocorrelation. Recent studies succeeded in modeling origin–destination (OD) flows in a spatial econometric field, implying that considering spatial dependence among flows will improve the accuracy of the model. However, not all OD flow data contain intraregional flows, and no research has been conducted on how to cope with such data. This study focuses on the problem wherein the spatial econometric model for flows proposed by LeSage and Pace (2008 Journal of Regional Science 48 941–967) is not feasible when the flow data do not have intraregional flows. We propose the EM algorithm as a method to overcome this problem and show validity of the proposed method through an application to Japanese migration flow data.

Suggested Citation

  • Morito Tsutsumi & Kazuki Tamesue, 2012. "Intraregional Flow Problem in Spatial Econometric Model for Origin—Destination Flows," Environment and Planning B, , vol. 39(6), pages 1006-1015, December.
    • Handle: RePEc:sae:envirb:v:39:y:2012:i:6:p:1006-1015
    DOI: 10.1068/b38029
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    References listed on IDEAS

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    2. James Paul Lesage & Wolfgang Polasek, 2008. "Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(2), pages 225-245.
    3. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, January.
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