The reasonable allocation of green infrastructure (GI) can improve the environmental quality of human settlements and urban residents' happiness. We used hedonic price and quantile regression models to quantitatively examine the impact of GI accessibility on housing prices, and the heterogeneity of this impact across different housing prices. The results showed that: (1) GI accessibility significantly affected housing prices. In addition, every 1% increase in GI area increased housing prices by approximately 0.3%. (2) GI accessibility had different effects on different housing prices; that is, different housing prices had different sensitivities to GI accessibility. This was especially true in the 25%–75% range of housing prices, where housing prices were negatively correlated with the time to the nearest GI. During urban development, reasonable planning and construction of urban GI should be undertaken to meet urban residents' needs for GI and promote sustainable urban development.
How to translate text using browser tools
26 March 2024
The Spatial Impact of the Accessibility of Urban Green Infrastructure on Housing Prices in Nanjing, China
Gao Zhoubing,
Zhu Junjun,
Lv Ligang,
Li Yongle,
Wang Junxiao
ACCESS THE FULL ARTICLE
Journal of Resources and Ecology
Vol. 15 • No. 2
March 2024
Vol. 15 • No. 2
March 2024
accessibility
green infrastructure
hedonic price model
housing prices
quantile regression model