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Combining microsimulation and spatial interaction models for retail location analysis

Author

Listed:
  • Tomoki Nakaya
  • A. Fotheringham
  • Kazumasa Hanaoka
  • Graham Clarke
  • Dimitris Ballas
  • Keiji Yano

Abstract

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Suggested Citation

  • Tomoki Nakaya & A. Fotheringham & Kazumasa Hanaoka & Graham Clarke & Dimitris Ballas & Keiji Yano, 2007. "Combining microsimulation and spatial interaction models for retail location analysis," Journal of Geographical Systems, Springer, vol. 9(4), pages 345-369, December.
    • Handle: RePEc:kap:jgeosy:v:9:y:2007:i:4:p:345-369
    DOI: 10.1007/s10109-007-0052-2
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    References listed on IDEAS

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    1. J. K. Lindsey, 1999. "On the use of corrections for overdispersion," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(4), pages 553-561.
    2. C G Amrhein & R Flowerdew, 1992. "The Effect of Data Aggregation on a Poisson Regression Model of Canadian Migration," Environment and Planning A, , vol. 24(10), pages 1381-1391, October.
    3. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, January.
    4. Graham Clarke & Martin Clarke, 2001. "Applied Spatial Interaction Modelling," Advances in Spatial Science, in: Graham Clarke & Moss Madden (ed.), Regional Science in Business, chapter 8, pages 137-157, Springer.
    5. Anas, Alex, 1983. "Discrete choice theory, information theory and the multinomial logit and gravity models," Transportation Research Part B: Methodological, Elsevier, vol. 17(1), pages 13-23, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Merino, María & Ramirez-Nafarrate, Adrian, 2016. "Estimation of retail sales under competitive location in Mexico," Journal of Business Research, Elsevier, vol. 69(2), pages 445-451.
    2. Andrii Galkin & Popova Yuliia & Bodnaruk Oksana & Zaika Yuliia & Chuprina Elena & Denys Shapovalenko & Oleg Kolonataievskyi, 2019. "Attractiveness Modeling of Retail on Emotional Fatigue of Consumers," South East European Journal of Economics and Business, Sciendo, vol. 14(2), pages 106-116, December.
    3. Thomas Wieland, 2023. "Spatial shopping behavior during the Corona pandemic: insights from a micro-econometric store choice model for consumer electronics and furniture retailing in Germany," Journal of Geographical Systems, Springer, vol. 25(2), pages 291-326, April.
    4. Halkin Andrii, 2020. "Assessing the Utility of Retailer Based on Generalized Costs of End-Consumers," Foundations of Management, Sciendo, vol. 12(1), pages 31-42, January.
    5. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.
    6. Yogi Vidyattama & Riyana Miranti & Justine McNamara & Robert Tanton & Ann Harding, 2013. "The Challenges of Combining Two Databases in Small-Area Estimation: An Example Using Spatial Microsimulation of Child Poverty," Environment and Planning A, , vol. 45(2), pages 344-361, February.
    7. Han, Shuihua & Jia, Xinyun & Chen, Xinming & Gupta, Shivam & Kumar, Ajay & Lin, Zhibin, 2022. "Search well and be wise: A machine learning approach to search for a profitable location," Journal of Business Research, Elsevier, vol. 144(C), pages 416-427.
    8. Adeniyi, Oluwole & Brown, Abraham & Whysall, Paul, 2020. "Retail location preferences: A comparative analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).

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    More about this item

    Keywords

    Spatial interaction modelling; Microsimulation; Retail interaction; Consumer survey; Market segmentation; C15; C21; C63; C81; D12;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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