Optimizing housing price estimation through image segmentation and geographically weighted regression: an empirical study in Nanjing, China

被引:1
|
作者
Wang, Rui [1 ,2 ]
Wang, Yanhui [3 ]
Zhang, Yu [4 ]
机构
[1] Soochow Univ, Sch Architecture, Suzhou 215123, Peoples R China
[2] Eindhoven Univ Technol, Dept Urban Sci & Syst, NL-5600 MB Eindhoven, Netherlands
[3] Southeast Univ, Res Inst Architecture, Nanjing 210096, Peoples R China
[4] Southeast Univ, Sch Architecture, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Housing price; Streetscape; Image segmentation; Geographically weighted regression; Spatial heterogeneity; RESIDENTIAL PROPERTY-VALUES; PHYSICAL-ACTIVITY; ACCESSIBILITY; IMPACT; AMENITY; MARKET;
D O I
10.1007/s10901-024-10133-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although well-designed urban streets are beneficial for sustainability and livability, few studies have considered their role in housing price estimates. To fill this gap, this study conducted in Nanjing, China, aims to examine the contribution of streetscape features to housing prices. Data were collected for 2040 residential blocks within the four municipal districts in July 2021. A semantic segmentation approach was used to identify the percentage of elements in the images from Baidu Street View. Two types of streetscape related variables (Enclosure and Greenery) were calculated and added to a hedonic pricing model based on Geographically Weighted Regression. The results show that the streetscape factors all have positive effects on house prices, and the contribution to house prices from large to small is grass, plants, horizontal buildings, vertical buildings and trees. By comparing the parameters of the models, it can be concluded that the inclusion of streetscape features and consideration of spatial heterogeneity can significantly improve the accuracy of housing price estimation. The findings of the current study contribute to decision-making in housing planning and urban design and to judgments about pricing reasonableness.
引用
收藏
页码:1491 / 1507
页数:17
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