Optimization Research On Location Problem Of Urban Aged Community Based On DEA-GIS

At present,the age structure of China's population has gradually transformed from youth mode to old mode,especially in cities with better economic development,such as Shanghai,Beijing,Guangzhou and other first-tier cities.The issue of elderly care has become one of the social concerns.At present,China's elderly care mode is mainly based on traditional home-based elderly care.With the improvement of living standards,the traditional elderly care mode can no longer meet people's requirement for high-quality elderly care.Community elderly care provides a high-quality old-age care service for the elderly by integrating various pension resources in the community,and has gradually become a new elderly care mode for the developed cities.In developed cities,how to plan a suitable location to build a community for the aged has become a problem to be considered in the improvement of the old-age security system.This study takes Shanghai as an example,and takes the location selection of the elderly care community as the research object.Under the condition of existing urban infrastructure,it uses the method of data envelopment analysis combined with geographic information system(DEA-GIS)to optimize and analyze the planning of old-age care community and put forward the improvement method,so as to provide reference and suggestions for the location selection planning of elderly care community in developed cities.The main research contents are as follows:(1)Establishment of the Influencing Factors System for the location Selection of the Elderly Care Community.Based on the existing research,it conducts principal component analysis on the three levels and 11 influencing factors affecting the location selection of the aged community,and calculates the weight of the influencing factors.It concludes that the food supermarkets,hospitals,subway stations and green parks are the four factors of higher importance in turn,which is basically consistent with the current elderly care demand in the big cities of China,and lays the foundation for the next analysis.(2)Spatial Analysis of location Selection for Elderly Care Community Based on Geographic Information System(GIS).Taking Shanghai as an example,this paper applies the factors described above that affect the location selection of elderly care communities into GIS for spatial analysis,discusses the problem of planning the location selection of elderly care communities with GIS,and obtains 6 areas suitable for the construction of comprehensive elderly care communities in Shanghai.By comparing the existing elderly care community projects in Shanghai,it shows that the use of GIS planning for elderly care community planning is in line with the reality,and also shows that the use of GIS for location selection of elderly care community has the advantages of visualization and intuition,which can provide reference for the planning and construction of elderly care community in big cities.(3)Optimization Model of Elderly Care Community Location Based on Data Env elopment(DEA).Considering that GIS can not further identify and select the location of the elderly care community,it uses DEA-GIS to establish an optimized location se lection mode,conduct optimized analysis of the location selection of the comprehensiv e elderly care community,and determines the improvement direction of the location se lection of the specific area on the old-age infrastructure.The results show that Zhujiaj iao area,Zhaoxiang area and Chuangxinzhonglu area are three effective areas,and the other three areas are not relatively effective.The projection analysis of the invalid ar eas is carried out to determine the improvement direction and improvement.