太阳成8722(中国)有限公司-GREEN NO.1

标题：Evaluating the Effects of Landscape on Housing Prices in Urban China: LANDSCAPE AND HOUSING PRICES

作者： QINGYUN DU, CHAO WU, XINYUE YE, FU REN & YONGJUN LIN

来源出版物：Tijdschrift voor Economische en Sociale GeografieDOI：10.1111/tesg.12308 出版年： Apr 2018

摘要：The rapid urbanisation of China has received growing attention regarding its urban residential environments. In this article, we model the spatial heterogeneity of housing prices and explore the spatial discrepancy of landscape effects on property values in Shenzhen, a large Chinese city. In contrast to previous studies, this paper integrates the official housing transaction records and housing attributes from open data along with field surveys. Then, the results using the hedonic price model (HPM), geographically weighted regression (GWR) without landscape metrics and GWR with landscape metrics are compared. The results show that GWR with landscape metrics outperforms the other two models. In summary, this research provides new insights into landscape metrics in real estate studies and can guide decision‐makers plan and design cities while also providing guidance to regulate and control urban property values based on local conditions.

Evaluating the Effects of Landscape on Housing Prices in.... Available from: https://www.researchgate.net/publication/324652938_Evaluating_the_Effects_of_Landscape_on_Housing_Prices_in_Urban_China_LANDSCAPE_AND_HOUSING_PRICES [accessed May 18 2018].

文献类型：Article

语种：English

作者关键词：housing prices, landscape index, GWR, spatial heterogeneity, Shenzhen

电子邮件地址：l: qydu@whu.edu.cn

地址：

School of Resources and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.

Department of Geography, Kent State University, Kent, OH 44242, United States.

Shenzhen Urban Planning & Land Resource Research Centre, Shenzhen 518034, China. E

全文链接：https://onlinelibrary.wiley.com/doi/pdf/10.1111/tesg.12308