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Combining microsimulation and spatial interaction models for retail location analysis

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Abstract

Although the disaggregation of consumers is crucial in understanding the fragmented markets that are dominant in many developed countries, it is not always straightforward to carry out such disaggregation within conventional retail modelling frameworks due to the limitations of data. In particular, consumer grouping based on sampled data is not assured to link with the other statistics that are vital in estimating sampling biases and missing variables in the sampling survey. To overcome this difficulty, we propose a useful combination of spatial interaction modelling and microsimulation approaches for the reliable estimation of retail interactions based on a sample survey of consumer behaviour being linked with other areal statistics. We demonstrate this approach by building an operational retail interaction model to estimate expenditure flows from households to retail stores in a local city in Japan, Kusatsu City.

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Acknowledgments

This paper is supported by JSPS, the Grant-in-Aid for Scientific Research (B), No. 13558005. We are grateful to the Kusatsu Chamber of Commerce for sharing with us the Kusatsu Consumer Survey database and to Prof. Koga for his valuable suggestion on the work.

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Authors and Affiliations

  1. Department of Geography, Ritsumeikan University, Kyoto, Japan

    Tomoki Nakaya, Kazumasa Hanaoka & Keiji Yano

  2. National Centre for Geocomputation, John Hume Building, National University of Ireland-Maynooth, Maynooth, Kildare, Ireland

    A. Stewart Fotheringham

  3. School of Geography, University of Leeds, Leeds, LS2 9JT, UK

    Graham Clarke

  4. Department of Geography, University of Sheffield, Winter Street, Sheffield, S10 2TN, UK

    Dimitris Ballas

Authors
  1. Tomoki Nakaya
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  2. A. Stewart Fotheringham
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  3. Kazumasa Hanaoka
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  4. Graham Clarke
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  5. Dimitris Ballas
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  6. Keiji Yano
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Corresponding author

Correspondence to Graham Clarke.

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Nakaya, T., Fotheringham, A.S., Hanaoka, K. et al. Combining microsimulation and spatial interaction models for retail location analysis. J Geograph Syst 9, 345–369 (2007). https://doi.org/10.1007/s10109-007-0052-2

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  • DOI: https://doi.org/10.1007/s10109-007-0052-2

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