期刊
ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
卷 113, 期 2, 页码 527-548出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/24694452.2022.2106177
关键词
cluster analysis; disability; environmental justice; GAMs; green space access
类别
This article presents new quantitative results on the distribution of residential green space for people with disabilities in the United States, bridging research on disparities in green space access among minority groups and research on the inaccessibility of green spaces to disabled visitors. The findings challenge existing narratives and indicate the need for mixed-methods research to examine various aspects of access and environmental justice. Cluster analysis reveals inequities in green space access at the intersection of disability, race, and class.
This article presents new quantitative results on the distribution of residential green space for people with disabilities in the United States, building on and bridging scholarly research in two distinct domains: one involving approaches that quantify disparities in green space access among racialized minorities and socioeconomically disadvantaged groups, and the other using qualitative methods that demonstrate that most green spaces remain inaccessible and unwelcoming to disabled visitors. Using generalized additive models (GAMs) that controlled for demographic factors and climatological characteristics, we find that residential areas with more green space generally have a higher proportion of disabled residents. The statistical results run counter to expectations from the literature, thus complicating the prevailing narrative and indicating a need for mixed-methods research to examine multiple dimensions of access and environmental justice. Using cluster analysis to assess spatial trends, we detect residential clusters of high disability and low green space and find that they are located in predominantly non-White, urban, and more socioeconomically disadvantaged neighborhoods compared to clusters of high disability and high green space. Cluster analysis results suggest that there are inequities in green space access at the intersection of disability, race, and class, as well as across the urban-rural continuum.
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