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Site Selection of Retail Shops Based on Spatial Accessibility and Hybrid BP Neural Network

1,2, 1,2,* and 1,2
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(6), 202;
Received: 4 April 2018 / Revised: 18 May 2018 / Accepted: 27 May 2018 / Published: 29 May 2018
PDF [6241 KB, uploaded 29 May 2018]


The increase of consumer income has resulted in the rapid development of the retail industry in China, which provides high market potential for retail companies worldwide. However, site selection for retail shops has been a confusing business issue in practical business decisions. In this study, a two-step hybrid model in site selection for small retail shops was proposed. The two steps were spatial accessibility evaluation and market potential estimation. The spatial accessibility of target regions was evaluated based on the improved gravity model to determine regions that lack retail shops. Then, a PCA (principal component analysis)–BP (backpropagation network) model was established to estimate the market potential in the target regions. The two-step model could determine sites with the most market potential and low competition. We conducted the experiment in Guiyang, China and considered 18 socioeconomic factors to make the site selection convincing. Through the experiment, 42 locations were determined with high business value; the locations were recommended to the new retail shops. The accuracy of the PCA–BP model was then proven satisfactory by comparing it with other regression methods. The proposed model could guide retail chains in enhancing business location planning and formulating regional development policies. View Full-Text
Keywords: PCA–BP; retail shops; spatial accessibility; site selection PCA–BP; retail shops; spatial accessibility; site selection

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Wang, L.; Fan, H.; Wang, Y. Site Selection of Retail Shops Based on Spatial Accessibility and Hybrid BP Neural Network. ISPRS Int. J. Geo-Inf. 2018, 7, 202.

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