4.7 Article

Mapping urban green equity and analysing its impacted mechanisms: A novel approach

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SUSTAINABLE CITIES AND SOCIETY
卷 101, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.scs.2023.105071

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Environmental equity; Residential segregation; Green equity; Spatial justice; Machine learning

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The study reveals significant disparities in urban green equity, with high property price areas having better access to green spaces than low property price areas. Landscape and greening have the most significant impact on urban green space differentiation.
Current assessment methods of Urban green equity (UGE) ignore the social differentiation of urban space, which may lead to a misallocation of green space resources, exacerbating differentiation, and potentially giving rise to green gentrification (GG). This study employs a novel evaluation framework and approach for UGE, considering the impact of landscape and greening on Spatial Differentiation of Residential Areas (SDORA), to evaluate the UGE of the west bank core area in Changsha city, Hunan Province, China, and explores its influencing mechanisms. The results show that (1) The study area exhibits significant greening differentiation, and residential areas with high property prices have higher quality landscapes and greening than those with low property prices. (2) The region displays significant green equity disparity (GEI = 0.497) and GG. (3) The cumulative contribution of landscape and greening to SDORA reaches 39.04 %, with the features of water body and mountain proximity as well as accessibility having the most significant impact on urban green space differentiation. This study enhances the understanding of UGE assessment, emphasizing the importance of considering spatial differentiation during UGE evaluation, and provides technical support and scientific guidance for the planning and construction of urban green space systems.

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