中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Utilizing network optimization to mitigate rising greenspace exposure inequalities in Chinese cities from 2000 to 2050

文献类型:期刊论文

作者Feng, Rundong1,2; Chen, Bin2,3; Liu, Shenghe1; Wang, Fuyuan1; Wang, Kaiyong1; Fu, Bojie4
刊名ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY
出版日期2025-11-01
卷号28页码:100633
关键词Greenspace exposure Multi-scenario projections Structural differences Mitigate strategy Network optimization
ISSN号2666-4984
DOI10.1016/j.ese.2025.100633
产权排序1
文献子类Article
英文摘要Urban greenspaces enhance human well-being and promote sustainable development in rapidly urbanizing regions by delivering vital ecosystem services, including cooling, air purification, and recreation. In China, where cities accommodate a large share of the population amid persistent environmental pressures, disparities in greenspace exposure pose a major obstacle to equitable access; these disparities arise from geographic, climatic, socioeconomic, and landscape factors. Although awareness of such inequalities is growing, their long-term trajectories, demographic and city-scale patterns, and viable spatial optimization approaches remain largely unexplored. Here we show that greenspace exposure inequality across 246 Chinese cities increased by 25 % from 2000 to 2020 and is projected to rise further by 12.2-15.7 % by 2050 under middle-of-the-road and fossil-fueled development scenarios, disproportionately affecting older, less-educated women and megacity residents. Geodetector and random forest analyses reveal that this rise results from interactions among greenspace coverage, population density, and patch connectivity, which explain 83.9 % of the inequality. A network-based optimization approach that improves patch connectivity-without expanding total greenspace-can reduce disparities by 10.3-20.8 %, with greater efficacy in high-inequality cities and among vulnerable populations. Our results highlight how precise landscape interventions can advance social equity in greenspace access, supporting Sustainable Development Goal 11 for inclusive, resilient urban environments. (c) 2025 The Authors. Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
URL标识查看原文
WOS关键词LAND-USE ; ECOSYSTEM SERVICES ; SPACE ; SCENARIOS ; CITY ; PROJECTIONS
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001618962400001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/217746]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Feng, Rundong; Chen, Bin
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
2.Univ Hong Kong, Div Landscape Architecture, Future Urban & Sustainable Environm FUSE Lab, Dept Architecture,Fac Architecture, Hong Kong 999077, Peoples R China;
3.Univ Hong Kong, Urban Syst Inst, Hong Kong 999077, Peoples R China;
4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Feng, Rundong,Chen, Bin,Liu, Shenghe,et al. Utilizing network optimization to mitigate rising greenspace exposure inequalities in Chinese cities from 2000 to 2050[J]. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY,2025,28:100633.
APA Feng, Rundong,Chen, Bin,Liu, Shenghe,Wang, Fuyuan,Wang, Kaiyong,&Fu, Bojie.(2025).Utilizing network optimization to mitigate rising greenspace exposure inequalities in Chinese cities from 2000 to 2050.ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY,28,100633.
MLA Feng, Rundong,et al."Utilizing network optimization to mitigate rising greenspace exposure inequalities in Chinese cities from 2000 to 2050".ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 28(2025):100633.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。