Urban shrinkage has attracted the attention of many geographers and urban planners in recent years.However,there are fewer studies on vacant housing in shrinking cities.Therefore,this study combines multi-source remot...Urban shrinkage has attracted the attention of many geographers and urban planners in recent years.However,there are fewer studies on vacant housing in shrinking cities.Therefore,this study combines multi-source remote sensing images and urban building data to assess the spatiotemporal variation patterns of housing vacancy in a typical shrinking city in China.The following points were obtained:(1)We developed an evaluation model to identify vacant residential buildings in shrinking cities by removing the contribution of nighttime lights from roads and non-residential buildings;(2)The residential building vacancy rate in Fushun city significantly increased from 2013 to 2020,resulting in a significant high-value clustering effect.The impact of urban shrinkage on vacant residential buildings was higher than that on vacant non-residential buildings;(3)The World Pop population data demonstrated consistent spatial distribution and trend of population change in Fushun with the residential building vacancy rate results,suggesting good reliability of the constructed evaluation model in this study.Identifying housing vacancies can help the local government to raise awareness of the housing vacancy problem in shrinking cities and to propose reasonable renewal strategies.展开更多
基金National Natural Science Foundation of China,No.42171191,No.42201211,No.41771172Science and Technology Development Plan Project of Jilin Province,China,No.20220508025RCChina Postdoctoral Science Foundation No.2018M641760。
文摘Urban shrinkage has attracted the attention of many geographers and urban planners in recent years.However,there are fewer studies on vacant housing in shrinking cities.Therefore,this study combines multi-source remote sensing images and urban building data to assess the spatiotemporal variation patterns of housing vacancy in a typical shrinking city in China.The following points were obtained:(1)We developed an evaluation model to identify vacant residential buildings in shrinking cities by removing the contribution of nighttime lights from roads and non-residential buildings;(2)The residential building vacancy rate in Fushun city significantly increased from 2013 to 2020,resulting in a significant high-value clustering effect.The impact of urban shrinkage on vacant residential buildings was higher than that on vacant non-residential buildings;(3)The World Pop population data demonstrated consistent spatial distribution and trend of population change in Fushun with the residential building vacancy rate results,suggesting good reliability of the constructed evaluation model in this study.Identifying housing vacancies can help the local government to raise awareness of the housing vacancy problem in shrinking cities and to propose reasonable renewal strategies.
