【研究论文】Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China

Xue Bing; Xiao Xiao; Li Jingzhong

发布时间:2020-07-03    来源:韩彬/HAN Bin

【论文摘要】The industrial spatial relationship is a cross-cutting subject of economic geography an geographical information science; it is of considerable significance to scientifically investigate and induce industrial space relationships for promoting the sustainable planning and development of the regional economic system. Taking Shenyang City as the research area and using the location information of manufacturing units and automobile sales outlets extracted from points of interest (POI), based on the spatial statistical analysis methods, we respectively investigated the spatial relationship between two industries from integration, correlation and coordination perspective. The characteristics of the spatial relationship between the equipment manufacturing industry and the automobile sales industry in Shenyang were spatial complementary integration, weak spatial correlation, and coordination with scale dependence and spatial heterogeneity in 2018. This distribution characteristic is attributed to local policy factors that industrial land is required to be concentrated in the secondary city outside the Second Ring Road, and the economic factors that the degree of dependence of the equipment manufacturing industry and automobile sales industry on externalities and factor costs. The results shed light on the improving industrial spatial relationship analysis framework based on POI big data, and industrial coordinated development monitoring and evaluation based on according to the industrial spatial relationship mechanism and effect theory, in order to accelerate the coordinated development of manufacturing and service industries and promote the construction of the industrial ecosystem.
【论文信息】Xue Bing; Xiao Xiao; Li Jingzhong. Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China[J], Geography and Sustainability (2020), doi: https://doi.org/10.1016/j.geosus.2020.06.003

Fig. The distribution map of the equipment manufactory units POIs and automobile sales outlets POIs in the ninedistricts of Shenyang