中国
地理
分布(数学)
移民
背景(考古学)
可持续发展
环境正义
地理加权回归模型
空格(标点符号)
经济正义
经济增长
社会经济学
经济地理学
政治学
社会学
经济
哲学
考古
数学分析
法学
统计
语言学
数学
作者
Wenyue Yang,Ruyu Yang,Suhong Zhou
出处
期刊:Cities
[Elsevier]
日期:2022-11-01
卷期号:130: 103855-103855
被引量:33
标识
DOI:10.1016/j.cities.2022.103855
摘要
Urban green space (UGS) plays an essential role in sustainable urban development and is closely related to public health and human well-being. The inequity of UGS violates environmental justice and threatens the life quality of residents. Although previous studies have examined UGS distribution and the disparity between social groups, they seldom consider the spatial heterogeneity of the UGS inequity for the vulnerable. To find out which vulnerable groups are suffering the insufficiency of UGS resources and to identify the specific spaces with severe UGS inequity in the context of high-density cities, this study employed a geographically weighted regression (GWR) approach to investigate the spatial relationship between UGS availability and neighborhood vulnerable socio-economic variables in Guangzhou, China. Results showed that the older adults, less-educated population, immigrants, and households with a living area below 50m2 in more than half of the neighborhoods in Guangzhou were suffering UGS inequity. These neighborhoods were detected spatially and had different spatial agglomeration characteristics. Based on this, the UGS inequity level of each neighborhood was comprehensively evaluated so that we can identify the spaces facing serious UGS inequity issues that should be paid attention to in future UGS system planning and policymaking.
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