扬州市城市住宅价格空间分异影响因素及作用机制  

Influencing Factors and Mechanism of Urban Residential Price Spatial Differentiation in Yangzhou City

作　　者：刘欣 章娩娩 LIU Xin;ZHANG Mianmain(School of Architecture and Engineering,Yangzhou University,Yangzhou 225127,China;School of Civil Engineering,Southeast University,Nanjing 211189,China)

机构地区：[1]扬州大学建筑科学与工程学院,江苏扬州225127 [2]东南大学土木工程学院,南京211189

出　　处：《地域研究与开发》2023年第4期70-75,共6页Areal Research and Development

基　　金：扬州大学人文社会科学基金研究项目(xjj2021-07);扬州大学中国大运河研究院开放课题。

摘　　要：作为居住空间资源非均衡配置的市场化表达,城市住宅价格空间分异映射出不同社会群体对城市住宅的选择倾向与需求差异。以扬州市为研究区域,基于2021年扬州市普通住宅小区、优质学校、综合医院、景区等POI数据,利用地理加权回归模型探索住宅价格空间分异的影响因素及作用机制。结果表明:扬州市住宅价格具有显著的空间自相关性,形成了以房价高值为核心递减的单核心结构;商场、综合医院、公交站、河流等因素对房价具有抑制作用,公园、优质学校、景区、金融服务对房价有促进作用,在一定程度上反映了社会群体的生活方式得到提高,揭示出房价与影响因素间的复杂关系。最后从均衡城市空间格局角度出发,提出相应的对策建议。As a market-oriented expression of the unbalanced allocation of residential space resources,the spatial differentiation of urban housing prices reflects the differences in the choice and demand for urban housing by different social groups.Based on the residential POI data in urban areas of Yangzhou in 2021,a geographically weighted regression model was constructed to explore the factors and mechanisms of the spatial differentiation of housing prices.The results showed that:The housing prices in Yangzhou have significant spatial autocorrelation,forming a single-core structure with high housing prices as the core decreasing.Among the factors,shopping malls,general hospitals,bus stations,rivers and other factors have an inhibitory effect on housing prices,revealing the complex relationship between housing prices and influencing factors,and visualizing the spatial heterogeneity of housing prices.Finally,based on the perspective of a balanced urban spatial pattern,some countermeasures and suggestions are proposed.

关 键 词：POI 住宅价格 空间异质性 地理加权回归 扬州市 

分 类 号：F293[经济管理—国民经济]