IGSNRR OpenIR  > 历年回溯文献
Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China
Hu S. G.; Yang, S. F.; Li, W. D.; Zhang, C. R.; Xu, F.
Source PublicationApplied Geography
2016
Volume68
Pages48-56
KeywordResidential land price Impact factors Non-stationary Geographically weighted regression Wuhan China geographically weighted regression non-stationarity water-quality patterns values amenities proximity chicago space model
AbstractLand price plays an important role in guiding land resource allocation for urban planning and development, particularly in big cities of fast developing countries where infrastructures and populations change frequently. Therefore, detecting spatially implicit information in the spatial pattern of relationships between land price and related impact factors is critical. Geographically weighted regression (GWR) analysis was conducted in this study for the purpose in Wuhan, China, by using a 10-year panel data set of residential land price. Based on twelve factors in three aspects (land attributes, location factors and neighborhood attributes), an evaluation index system of resident land price was established. The spatial distributions of estimated coefficients and pseudo t-values of three major explanatory variables (floor area ratio, distance to nearest center business district (CBD) and distance to nearest lake), obtained from GWR analysis, indicated that their relationships of the impact factors with land price are spatially non-stationary. The positive impact of floor area ratio on land price is more significant in highly developed areas than in less developed areas. Conversely, the negative impact of distance to nearest CBD on land price is larger in highly developed areas than in less developed areas. Moreover, wealthier dwellers may be willing to pay a higher price for a good lake view (especially views of small lakes), but infrastructure barriers (near some large lakes) cause negative effect.. The outputs of this study, which provide detailed information on the relationships between land price and impact factors in local areas, are promising for urban planners to scientifically evaluate land price and make area-specific strategies. (C) 2016 Elsevier Ltd. All rights reserved.
Indexed BySCI
Language英语
ISSN0143-6228
DOI10.1016/j.apgeog.2016.01.006
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/42987
Collection历年回溯文献
Recommended Citation
GB/T 7714
Hu S. G.,Yang, S. F.,Li, W. D.,et al. Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China. 2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
Hu-2016-Spatially no(2203KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Hu S. G.]'s Articles
[Yang, S. F.]'s Articles
[Li, W. D.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hu S. G.]'s Articles
[Yang, S. F.]'s Articles
[Li, W. D.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hu S. G.]'s Articles
[Yang, S. F.]'s Articles
[Li, W. D.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Hu-2016-Spatially non-statio.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.