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| INSTRUCTIVE RESEARCH OF INTERNET INFORMATION FOR SPATIAL COMPETITION BETWEEN CHAIN STORES OF FITNESS CLUBS |
| CAO Rui1, LI Ren-jie1,2, FU Xue-qing1,2, ZHANG Jun-hai1,2 |
1. College of Resources and Environment Science, Hebei Normal University, Shijiazhuang 050024, China;
2. Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China |
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Abstract As a new way of modern commercial operation model, commercial chain stores have a tremendous impact on regional economic development. The problems, such as the consumption patterns of seeking far away and neglecting what lies at hand, the phenomenon of living and working in different places, the impact of electronic social networks for the traditional commercial model make the practical significance of the market field's division by using the traditional weighted (availability, network scale, etc.) Voronoi diagram decreased obviously. This paper aims to study the impact of Internet data on the competition of chain stores and analyze the competitive situation among chain stores by trying to use the public's concern level and evaluation in the Internet as the weighting factors which can reflect the consumer preference, and a calculating model based on the weighting factors of the Internet information is established; It also proposes a new geographical interpretation in terms of the location of the weighted Voronoi diagram to describe the spatial characteristics of competitive environment. The results showed that the Internet space exerts a great influence upon the sand-ho fitness chains, and also reveals that the competitive differences are obviously among the branching stores, the spatial competitiveness of urban and explanation in geography of Voronoi diagram may instruct the consumption attraction overcoming distance block, thus can make up for traditional weighted method which did not consider consumer preferences and shopping habits and result in not enough to express the partition of competition field. The study on spatial competition analysis of commercial chain stores which based on Internet information dynamically get the concern level of consumer to commerce, make commercial study more practical, and provides a new idea and method for the commercial decisions and organizations of the commercial network.
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Received: 22 November 2011
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2012, Vol. 27 
