首页|Housing vacancy identification in shrinking cities based on multi-source data:A case study of Fushun city in Northeast China

Housing vacancy identification in shrinking cities based on multi-source data:A case study of Fushun city in Northeast China

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Urban shrinkage has attracted the attention of many geographers and urban plan-ners 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 iden-tify 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 WorldPop population data demon-strated consistent spatial distribution and trend of population change in Fushun with the res-idential 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.

housing vacancyresidential building vacancyurban shrinkageVIIRS

SUN Hongri、ZHOU Guolei、LIU Yanjun、FU Hui、JIN Yu

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School of Geographical Sciences,Northeast Normal University,Changchun 130024,China

Northeast Institute of Geography and Agroecology,CAS,Changchun 130102,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScience and Technology Development Plan Project of Jilin Province,ChinaChina Postdoctoral Science Foundation

42171191422012114177117220220508025RC2018M641760

2024

10.1007/s11442-024-2196-0

地理学报(英文版)
中国地理学会,中国科学院地理科学与资源研究所

地理学报(英文版)

CSTPCD
影响因子：1.307
ISSN：1009-637X
年,卷(期)：2024.34(1)