NDLI: Combining microsimulation and spatial interaction models for retail location analysis

Content Provider	Springer Nature Link
Author	Ballas, Dimitris Clarke, Graham Nakaya, Tomoki Ya, Keiji Hanaoka, Kazumasa Fotheringham, A. Stewart
Copyright Year	2007
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.
Ending Page	369
Page Count	25
Starting Page	345
File Format	PDF
ISSN	14355930
e-ISSN	14355949
Journal	Journal of Geographical Systems
Issue Number	4
Volume Number	9
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-09-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access Microsimulation Landscape/Regional and Urban Planning Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions Market segmentation Consumer survey Simulation and Modeling Retail interaction Computational Techniques; Simulation Modeling Geographical Information Systems/Cartography Regional Science Quantitative Geography Consumer Economics: Empirical Analysis Spatial interaction modelling Statistical Simulation Methods: General Computer Application in Social and Behavioral Sciences
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Geography, Planning and Development Economics and Econometrics

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