Applying Big Data of Geographic Information to Analyze the Accessibility of Elderly Care Institutions

With the acceleration of aging in society, elderly care institutions have become more important in urban planning and public service facilities than before. Geographic Information System(GIS), the kernel density analysis method, and the hot spot analysis method were used to analyze the points of interest(POI) data of elderly care institutions in Baiyun District, Guangzhou in 2021. The spatial distribution and agglomeration characteristics of elderly care institutions were explored in the research area. The result provided a comprehensive spatial evaluation of the elderly care institutions and showed the following: (1) The elderly care institutions in Baiyun District exhibit the characteristics of continuous clustering and spatial distribution in multiple centers and (2) Baiyun District has the characteristics of the concentrated distribution of significant hotspots, larger clustered block types appear, and the agglomeration characteristics are obvious. The research results are used as a reference for the government to plan public service facilities for the elderly.