POI 빅데이터를 활용한 도시활동 중심지 도출과 중심지 기능 분석 : 서울 대도시권을 중심으로

초록

During the past several decades, urban scholars and regional economists have tried identifying urban activity centers in metropolitan areas using indicators, such as, population, employment, and housing prices. However, the identification of these urban activity centers has been a challenging assignment due to the limited availability of data. In this study, various activity centers and their functions in the Seoul metropolitan area were identified. Using the Point-of-Interest (POI) big data and Contour tree method, the urban spatial structure of the Seoul metropolitan area was analyzed and the existing urban and regional policies that have induced the polycentric urban form were evaluated. The results indicated that the POI big data had excellent advantages while identifying the urban activity centers and their functional relationships across the Seoul metropolitan area. Further, this study was discovered that the activity centers of the Seoul metropolitan area have been formed around the newly developed areas or important nodes of transportation networks. As a result of comparing the urban activity center and the urban master plans, this study was found that there was some difference. In particular, it has been observed that realistic urban activity centers can be identified by deriving centers beyond administrative districts. As a result of analyzing these urban activity centers with Location Quotient (LQ), city centers and sub-centers were found to have specialized financial functions. In contrast, residential and public facility functions are specialized in regional centers outside Seoul. In conclusion, the urban activity centers outside Seoul should accommodate various facilities to strengthen their regional centrality in the polycentric metropolitan spatial structure.

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