Multilevel effects of urban form and urban functional zones on housing prices: evidence from open-source big data

被引:0
作者
Huang, Guan [1 ]
Qiao, Si [1 ]
Yeh, Anthony Gar-On [1 ]
机构
[1] Univ Hong Kong, Dept Urban Planning & Design, Pokfulam Rd, Hong Kong, Peoples R China
基金
国家重点研发计划;
关键词
Urban form; Urban functional zone; Housing prices; Natural semantical language process; Multilevel effect; Open-source big data; EDUCATIONAL FACILITIES; LAND-USE; POINTS; CITIES; METRICS; IMPACT; REMOTE; CHINA; MODEL; HANGZHOU;
D O I
10.1007/s10901-023-10109-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
While the relationship between local housing prices and the urban form and distribution of urban functional zones in a single city is well-discussed, the conclusion is usually sensitive to a particular city context, and cross-city comparative study is limited. This study attempts to examine the influences of urban form and urban functional zone distribution on housing prices within and between cities after controlling the city-wide socio-economic and demographic differences. Based on multiple open-source big data, such as points-of-interest (POI) and historical housing transaction data, the hierarchical linear model is utilized to compare the housing market of 10 extra-large cities in China. Results indicate that the urban form and the urban functional zone distribution significantly influence housing prices after the socio-economic and demographic differences are controlled. For inter-city comparison, an urban form with high compactness, low centrality, low polycentricity, high density, and low dissimilarity in housing development is related to lower city-level housing prices. For intra-city, proximity to work centers, high-quality hospitals, and schools shows positive associations to housing prices.
引用
收藏
页码:987 / 1011
页数:25
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