Research on Spatial Layout Optimization of Elderly Care Facilities in Central City Based on Machine Learning
With the increasing trend of aging population,it has become particularly important to build elderly care fa-cilities tailored to local conditions and provide high-quality elderly care services.The article takes Gusu District in the central urban area of Suzhou as the research object.Based on POI data,on the basis of the analysis of the spatial distribution characteristics of current pension facilities,a 500mx500m grid scale is constructed to statistically ana-lyze the distribution of elderly care facilities and related fa-cilities within each grid.A random forest model is selected to simulate and predict the layout of elderly care facilities.The research results show that:a.the current elderly care facilities exhibit spatial distribution characteristics of"large dispersion,small agglomeration"and"balanced distribu-tion";b.residential communities,cultural and educational facilities,and medical and health facilities have a signifi-cant impact on the layout of elderly care facilities;c.based on the prediction results,a spatial distribution pattern of elderly care facilities that is easy to link,systematic,and relatively fair is constructed.
urban planningmachine learningagingel-derly care facilitiesspatial layout
NETL
NSTL
万方数据
