Based on the data from the 2017 national migrant population dynamic monitoring survey(CMDS),this paper measures the urban psychological integration level of the floating elderly population in prefecture-level and above cities in China from three aspects:integration willingness,psychological distance and iden-tity.On this basis,multi-scale geographically weighted regression(MGWR)and K-means cluster methods are used to study its spatial differences and influencing factors.The results show that:1)The level of floating elderly population's urban psychological integration in China is generally high,but its spatial difference is ob-vious,showing a high level in Sichuan-Chongqing,northwest,northeast areas,and a significant lag in the coastal areas of South China and Middle East.2)The level of floating elderly population's urban psychologi-cal integration is jointly affected by the factors of mobility,family and registered residence and individual be-havior at their own level,as well as the public services of the cities where they migrate.However,there were significant spatial heterogeneity and spatial scale differences among different influencing factor.Based on this,the K-means cluster method is used to divide it into four influence areas:The dominant area of house-hold,household registration and behavioral factors,the dominant area of health service factors,the dominant area of behavioral factors and the dominant area of multi-factor co-action,it can provide some basis for mak-ing relevant policies according to local conditions.
NETL
NSTL
万方数据
