首页  >  科研动态  >  正文
科研动态
余珮珩(硕士生)、陈奕云的论文在ISPRS Int. J. Geo-Inf.刊出
发布时间:2023-08-24 16:16:01     发布者:易真     浏览次数:

标题: The Spatial Effect of Accessibility to Public Service Facilities on Housing Prices: Highlighting the Housing Equity

作者: Yu, PH (Yu, Peiheng); Yung, EHK (Yung, Esther H. K.); Chan, EHW (Chan, Edwin H. W.); Zhang, SJ (Zhang, Shujin); Wang, SQ (Wang, Siqiang); Chen, YY (Chen, Yiyun)

来源出版物: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION : 12 : 6 文献号: 228 DOI: 10.3390/ijgi12060228 出版年: JUN 2023

摘要: Understanding how public service accessibility is related to housing prices is crucial to housing equity, yet the heterogeneous capitalisation effect remains unknown. This study aims to investigate the spatial effect of public service accessibility on housing prices in rapidly urbanising regions. Here, we propose a novel methodological framework that integrates the hedonic price model, geographical detector model and the spatial association detector model to understand housing equity issues. The rapidly rising housing prices, vastly transformed urban planning and heterogeneous land use patterns make the urban centre of Wuhan a typical case study. High-value units of public service accessibility are concentrated in built-up areas, while low-value units are located at the urban fringe. The results indicate that larger public services have more significant clustering effects than smaller ones. Recreational, medical, educational and financial facilities all have capitalisation effects on housing prices. Both the geographical detector model and the spatial association detector model could identify the drivers of housing prices, but the explanatory power of the latter is greater and could enhance the validity and reliability of the findings. We further find that the explanatory power of the driving factors on housing prices obtained from the spatial association detector model is greater than that of the geographical detector model. Based on the spatial association detector model, the main drivers of public service facilities are accessibility to restaurants and bars and accessibility to ATMs. In addition, there are bivariate or nonlinear enhancement effects between each pair of driving factors. This approach provides significant insights for urban environmental development planning and local real estate planning.

作者关键词: public service facilities; accessibility; hedonic pricing model; geographical detector; spatial association detector; housing equity

地址: [Yu, Peiheng; Yung, Esther H. K.; Chan, Edwin H. W.; Wang, Siqiang] Hong Kong Polytech Univ, Res Inst Sustainable Urban Dev, Dept Bldg & Real Estate, Hong Kong 999077, Peoples R China.

[Zhang, Shujin; Chen, Yiyun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

通讯作者地址: Chen, YY (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: peiheng.yu@connect.polyu.hk; esther.yung@polyu.edu.hk; edwin.chan@polyu.edu.hk; zhangshujin@whu.edu.cn; siqiang-clarence.wang@connect.polyu.hk; chenyy@whu.edu.cn

影响因子:3.4


信息服务
学院网站教师登录 学院办公电话 学校信息门户登录

版权所有 © 武汉大学资源与环境科学学院
地址:湖北省武汉市珞喻路129号 邮编:430079 
电话:027-68778381,68778284,68778296 传真:027-68778893    邮箱:sres@whu.edu.cn