Urban shrinkage is becoming an increasingly common phenomenon in China.The research focus has been the identification,origin,and pattern of shrinking cities.Nevertheless,attention has also been paid to the problems as...Urban shrinkage is becoming an increasingly common phenomenon in China.The research focus has been the identification,origin,and pattern of shrinking cities.Nevertheless,attention has also been paid to the problems associated with urban shrinkage.The present study examines one typical shrinking city in China,specifically the Yichun District in Yichun City.To explore the matching relationship between residential and commercial spaces,this study analyzes supply and demand data,electricity consumption data and multi-source points of interest(POI)of residents.The results showed that the occupancy rate is not reduced in the context of urban shrinkage,and that the supply level of various commercial facilities is not in decline.Apart from leisure and entertainment facilities,the supply levels of catering,shopping and supporting facilities for life were noted to have improved.In reference to urban shrinkage,the matching relationship between residential and commercial space in the 5-min,10-min,and 15-min living circles mainly shifted to a highlevel equilibrium.The matching relationships between residential space and different types of commercial spaces change in both direction and magnitude.From the perspective of supply and demand,the spatial and temporal changes in the relationship relate to multiple factors,such as the level of economic development,the buiding age pattern,public transportation accessibility,aging,and residents’willingness to move.This study provides relevant data for managing urban shrinkage.It also helps improve the relationships between residential and commercial spaces and works to optimize the layout and structure of functional urban spaces.展开更多
城市住宅及其价格与区域商服业的空间关联性量化研究是人文-经济地理学的重要研究内容。以辽宁省沈阳市为案例,以住宅和零售业兴趣点(Point of Interest, POI)为数据源,基于空间核密度分析提取住宅和各类零售业的空间聚类形态,量化表达...城市住宅及其价格与区域商服业的空间关联性量化研究是人文-经济地理学的重要研究内容。以辽宁省沈阳市为案例,以住宅和零售业兴趣点(Point of Interest, POI)为数据源,基于空间核密度分析提取住宅和各类零售业的空间聚类形态,量化表达商住空间布局的相关性,并在此基础上运用地统计方法测算房价的空间异质性及其与零售业态空间布局的差异特征。结果表明,零售业的整体空间聚集特征与住宅相似,呈现中心城区块状聚集、外围城区多中心离散的分布格局;零售业与住宅核密度相关系数为0.95,超市、便利店等小规模的零售业与住宅密度相关性较强,商场商厦的聚集效应落后于城市住宅,大型零售业应该在铁西经济技术开发区等住宅密集区规划选址,为居民提供高端购物服务;住宅价格的倒"U"型空间分布模式与零售业空间密度的圈层衰减特征相符。展开更多
基金Under the auspices of the National Natural Science Foundation of China(No.42171191,41771172)China Postdoctoral Science Foundation(No.2018M641760)Education Department of Jilin Province(No.JJKH20201173KJ)。
文摘Urban shrinkage is becoming an increasingly common phenomenon in China.The research focus has been the identification,origin,and pattern of shrinking cities.Nevertheless,attention has also been paid to the problems associated with urban shrinkage.The present study examines one typical shrinking city in China,specifically the Yichun District in Yichun City.To explore the matching relationship between residential and commercial spaces,this study analyzes supply and demand data,electricity consumption data and multi-source points of interest(POI)of residents.The results showed that the occupancy rate is not reduced in the context of urban shrinkage,and that the supply level of various commercial facilities is not in decline.Apart from leisure and entertainment facilities,the supply levels of catering,shopping and supporting facilities for life were noted to have improved.In reference to urban shrinkage,the matching relationship between residential and commercial space in the 5-min,10-min,and 15-min living circles mainly shifted to a highlevel equilibrium.The matching relationships between residential space and different types of commercial spaces change in both direction and magnitude.From the perspective of supply and demand,the spatial and temporal changes in the relationship relate to multiple factors,such as the level of economic development,the buiding age pattern,public transportation accessibility,aging,and residents’willingness to move.This study provides relevant data for managing urban shrinkage.It also helps improve the relationships between residential and commercial spaces and works to optimize the layout and structure of functional urban spaces.
文摘城市住宅及其价格与区域商服业的空间关联性量化研究是人文-经济地理学的重要研究内容。以辽宁省沈阳市为案例,以住宅和零售业兴趣点(Point of Interest, POI)为数据源,基于空间核密度分析提取住宅和各类零售业的空间聚类形态,量化表达商住空间布局的相关性,并在此基础上运用地统计方法测算房价的空间异质性及其与零售业态空间布局的差异特征。结果表明,零售业的整体空间聚集特征与住宅相似,呈现中心城区块状聚集、外围城区多中心离散的分布格局;零售业与住宅核密度相关系数为0.95,超市、便利店等小规模的零售业与住宅密度相关性较强,商场商厦的聚集效应落后于城市住宅,大型零售业应该在铁西经济技术开发区等住宅密集区规划选址,为居民提供高端购物服务;住宅价格的倒"U"型空间分布模式与零售业空间密度的圈层衰减特征相符。
