Bong Gyun Kim, Wonsang Lee, Bong Gyou Lee, Journal of Internet Computing and Services, Vol. 21, No. 1, pp. 71-78, Feb. 2020
10.7472/jksii.2020.21.1.71, Full Text:  HTML
Keywords: Sales Pattern, Floating Population Pattern, Markov chain, Floating Population, Spatial Big Data

Abstract

Recently, as the issue of gentrification emerges, it becomes important to understand the dynamics of local commercial district, which plays the important role for facilitating the local economy and building the community in a city. This paper attempts to provide the framework for systemically analyzing and understanding the local commercial district. Then, this paper empirically analyzes the patterns of sales and flow of floating population by focusing on two representative local commercial districts in Seoul. In addition, the floating population data from telecommunication bases is further modeled with Markov chain for systemically understanding the local commercial districts. Finally, the transition patterns and consumption amounts of floating population are comprehensively analyzed for providing the implications on the evolutions of local commercial districts in a city. We expect that findings of our study could contribute to the economic growth of local commercial district, which could lead to the continuous development of city economy.

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