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GIS in Business - Routing analysis of Plaza Shoppers
5. Conclusion
This paper has presented a prototype of applying GIS in business decision, in contrast with conventional business software of providing mere textual or numerical answers. By quantifying the walking pattern of shoppers and correlating with key spatial features, consumer behavior which is often regarded as a qualitative variable can now be better reflected. With such information, retailers can make a better decision on where to choose a store with better returns, plaza management can make a better judgment on their pricing policy or future design layout.
6. References
- Brueckner, J.K. (1993) Inter-Store Externalities and Space Allocation in Shopping Centers, Journal of Real Estate Finance and Economics, Vol.7, pp.5-16.
- Byrom, J.W., Bennison, D.J., Hernandez, T. and Hooper. P.D. (2000) The use of geographical data and information in retail locational planning, Journal of Targeting, Measurement and Analysis for Marketing. Vol.9, No.3, pp.219-229.
- Cooke, D.F. (2000) Applications of GIS Technology in Financial Services, Financial Services Information Systems, pp.211-215.
- Erdem, O., Oumlil, A. & Tuncalp, S. (1999) Consumer values and the importance of store attributes, International Journal of Retail & Distribution Management. Vol. 27, No. 4, pp.137 -144.
- Mohammad J., Srinivas U., Nagesh R. & Reddy, V.S. (2003) An Integrated approach for banking GIS, Map India.
- Thomas, R. (2000) Insurance Pricing with GIS, Geospatial Solutions, pp. 2–5.
6.1 Acknowledgements
The work described in this paper was substantially supported by Central Research Grant from the Hong Kong Polytechnic University (Project No. G-T623).
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