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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. 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.
    2. 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.
    3. 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.
    4. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, January.
    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.
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    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. 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.
    6. 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.
    7. 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.
    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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