Spatio-temporal differentiation pattern and influence mechanism of housing vacancy in shrinking cities of Northeast China
Urban shrinkage has gradually become a global economic and social phenomenon,and housing vacancy is an important concomitant effect of urban shrinkage.Housing vacancy in shrinking cities is a key issue that needs to be studied urgently.Taking Northeast China,a concentrated area of shrinking cities in the country,as the research object,this study uses multiple types of remote sensing imagery data and spatio-temporal big data to construct a shrinking city system based on the perspective of physical urban areas,estimate the housing vacancy rate,analyze the spatio-temporal variation characteristics of housing vacancy in shrinking cities,and explore the influence of housing vacancy in shrinking cities of different scales.The main conclusions are as follows:(1)During the study period,the urban shrinkage phenomenon in Northeast China is significant and the housing vacancy rate is on the rise.The housing vacancy rate is generally higher in severe shrinking cities.(2)The configuration of property facilities and the characteristics of the surrounding environment are the main influencing factors of housing vacancy.The level of urban economic development,regional transportation conditions and natural resource conditions have gradually increased their influence on housing vacancy.(3)Improving economic efficiency and increasing residents'income can help alleviate vacancy in slight shrinking cities,while severe shrinking cities need to adjust the level of property facilities and optimize the layout of transportation facilities to reduce vacancy rates.
shrinking citiesphysical urban areahousing vacancyinfluence mechanismNortheast China
NETL
NSTL
万方数据
