首页|Spatial Matching Degree Between Education,Healthcare,Elderly Care Facilities and the Built Environment in Megacities Based on POI Data:A Case Study of Chengdu Central Urban Area
Spatial Matching Degree Between Education,Healthcare,Elderly Care Facilities and the Built Environment in Megacities Based on POI Data:A Case Study of Chengdu Central Urban Area
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During rapid urbanization,megacities see disparities in the spatial distribution of basic public service facilities and the urban built environ-ment. Current research on basic public service facilities focuses on equal spatial distribution,leading to the overlook of their match with the surround-ing built environment. Based on a case study on education,healthcare,and elderly care facilities in Chengdu central urban area,this paper analyzes the spatial distribution of these facilities and the built environment,and examines their spatial matching degree using a bivariate spatial autocorrela-tion model. The findings reveal the following insights:firstly,education and healthcare facilities present a "one core and multi-center" spatial distri-bution pattern,with the city center serving as the core and suburban subdistricts acting as the multiple centers,while elderly care facilities present a core-edge distribution pattern in contrast;secondly,the built environment presents a core-edge radial distribution pattern,with the city center acting as the nucleus that connects suburban subdistricts;thirdly,the spatial matching degree between the facilities and the urban built environment from the city center outwards is characterized by high,low,medium,and high levels. Notably,a significant spatial mismatch is observed in urban-rural transi-tional zones. In light of these findings,the paper comes to a conclusion that during urbanization,the efforts to equalize basic public service facilities in the urban-rural transitional zones may lead to spatial mismatches,to which urban planners and managers should pay close attention.
basic public service facilitiesurban built environmentspatial autocorrelation analysisChengdu
Shi Manjiang、Wei Lanyan、Cao Qi、Huang Yudie、Li Min、Tang Yan
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Southwest University of Science and Technology,Mianyang,P. R. China
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