Prediction of convenience store location based on support vector machines

被引：0
作者：
机构：
[1] Department of Distribution Management, National Taichung University of Science and Technology
来源：
Chen, R.-C. (rcchens@nutc.edu.tw) | 2012年 / Advanced Institute of Convergence Information Technology卷 / 06期
关键词：
Convenience store location; Geographic information system; Location selection; Support vector machine; SVM;
D O I：
10.4156/jdcta.vol6.issue16.30
中图分类号：
学科分类号：
摘要：
In this paper support vector machines (SVM) is employed as an aid to select convenience store location. Location plays a very important role for convenience store operators because the decision of a location has a great influence on the success of a convenience store. To predict whether a location is suitable to open a store or not, the input data related to influencing factors for convenience stores are first collected by a site visit method, which employs a geographic information system (GIS) to randomly select sites. Then SVM is used to train, test, and predict new locations. Results based on real data show that SVM can predict the convenience store location accurately. In addition, the walking distance that people are willing to go to a convenience store by walk is measured.
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页码：248 / 255
页数：7
相关论文
共 22 条
  • [1] Kuroda S., Yamamoto I., When Do People Work. Measuring Trends in Work Timing with a Japanese Time-use Survey, International Association For Time Use Research, Lueneburg, Germany, 31, (2009)
  • [2] Mariana D., Characteristics of the Romanian Convenience Market, Annal of the Faculty of Economics, 2, pp. 310-316, (2009)
  • [3] Wang W.C., Urban Oases: Convenience Stores Transform Taiwan, Taiwan Panorama, 7, (2010)
  • [4] Cheng J.M.S., Blankson C., Sutikno B., Wang M.C.H., Hybrid Convenience Stores - The Changing Role of Convenience Stores in Taiwan, Asia Pacific Journal of Marketing and Logistics, 21, 3, pp. 417-432, (2009)
  • [5] Luo L.R., The Evaluation Model of Convenience Chain Store's Site Selection: A Fuzzy AHP Approach, MD Dissertation, Department of Business Administration, National Chung Cheng University, (2002)
  • [6] Esichaikul V., Suriyalert C., Site Selection Support Technologies for Convenience Stores, Journal of Global Management Research, 6, pp. 19-36, (2010)
  • [7] Bai X., Chen G., Tian Q., Yin W., Dong J., Semi-Supervised Regression for Evaluating Convenience Store Location, International Joint Conference On Artificial Intelligence, pp. 1389-1394, (2009)
  • [8] Vandell K.D., Carter C.C., Retail Store Location and Market Analysis: A Review of the Research, Journal of Real Estate Literature, 2, pp. 13-45, (1994)
  • [9] Tayman J., Pol L., Retail Site Selection and Geographic Information Systems, Journal of Applied Business Research, 11, pp. 46-54, (1995)
  • [10] Wood S., Browne S., Convenience Store Location Planning and Forecasting - A Practical Research Agenda, International Journal of Retail & Distribution Management, 35, 4, pp. 233-255, (2007)
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