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作者

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.144,Issue1

语言

英文

关键字

Mixed land use; Hedonic price analysis; Spatial autoregressive confused model; Beijing; SPATIAL STATISTICS; REAL-ESTATE; AIR-QUALITY; CHINA; PRICES; MODELS; ISSUES; MARKET; SPACE; PARIS

作者单位

[Wu, Jiayu; Lin, Jian] Peking Univ, Dept Urban & Reg Planning, Coll Urban & Environm Sci, Beijing 100871, Peoples R China. [Song, Yan] Univ North Carolina Chapel Hill, Dept City & Reg Planning, Chapel Hill, NC 27517 USA. [Liang, Junhui] Beijing Tsinghua Tongheng Urban Planning & Design, Innovat Ctr Technol, Beijing 100085, Peoples R China. [Wang, Qingxi] Zhejiang Univ Technol, Sch Econ & Management, Hangzhou 310023, Zhejiang, Peoples R China. Wu, JY (reprint author), Peking Univ, Dept Urban & Reg Planning, Coll Urban & Environm Sci, Beijing 100871, Peoples R China. E-Mail: wujiayula@gmail.com

摘要

Mixing land uses has turned into a key planning strategy of Chinese land-use planning in recent years. This study analyzes the impact on housing prices when neighborhood land uses are mixed. Using geographic information system data, three quantitative measures of land-use mix were created, and these measures were computed for various neighborhoods in Beijing's central city. These measures were in a spatial autoregressive confused model of hedonic price analysis. It can be concluded that housing prices increase with proximity to open spaces or daily commercial land uses, but decreases with proximity to medical land uses. Not only proximity, but also amount of open space and public and commercial land use are positively correlated with housing prices. In addition, housing prices tend to fall with an increase percentage of open space in all adjacent street administrative divisions. Finally, housing prices are higher in neighborhoods dominated by residential land use where nonresidential land uses were evenly distributed.