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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
Author Affiliations +
Abstract

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.

Gao Zhoubing, Zhu Junjun, Lv Ligang, Li Yongle, and Wang Junxiao "The Spatial Impact of the Accessibility of Urban Green Infrastructure on Housing Prices in Nanjing, China," Journal of Resources and Ecology 15(2), 329-337, (26 March 2024). https://doi.org/10.5814/j.issn.1674-764x.2024.02.008
Received: 2 September 2022; Accepted: 2 May 2023; Published: 26 March 2024
KEYWORDS
accessibility
green infrastructure
hedonic price model
housing prices
quantile regression model
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