This article addresses the growing need to analyze the relationship between disability and environmental pollution, as well as contribute to emerging research that recommends an intersectional approach for studying the complexity of distributive environmental risks imposed on marginalized subpopulations in U.S. urban areas. It focuses on Harris County, which contains the city of Houston and the highest number of people with disabilities in the state of Texas. Three different pollution sources are analyzed: Superfund sites on the National Priorities List (NPL); hazardous waste treatment, storage, and disposal (TSD) facilities; and motor vehicle traffic. Proximity scores are calculated at the census tract level using a novel spatial enumeration methodology developed by the U.S. Environmental Protection Agency, and statistical analysis is based on multivariable generalized estimating equations. Results indicate that people with disabilities are significantly more likely to reside in neighborhoods with higher NPL and TSD proximity than those without disabilities, after controlling for clustering and relevant sociodemographic factors. Intracategorical analysis reveals that individuals with disabilities are experiencing a “multiple jeopardy” defined by the convergence of disability with other social disadvantages such as racial/ethnic minority and elderly status and amplified by their proximity to pollution sources.

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与环境污染的不等接近：德克萨斯州哈里斯县残疾人的交叉分析

本文解决了分析残疾与环境污染之间关系的日益增长的需求，并为新兴研究做出贡献，这些研究建议采用交叉方法来研究强加于美国城市地区边缘化亚群的分布式环境风险的复杂性。它侧重于哈里斯县，该县包含休斯顿市和德克萨斯州残疾人数量最多的地区。分析了三种不同的污染源： 国家重点清单（NPL）上的超级基金站点；危险废物处理、储存和处置 (TSD) 设施；和机动车交通。邻近度分数是使用美国环境保护署开发的新型空间枚举方法在人口普查区域级别计算的，统计分析基于多变量广义估计方程。结果表明，在控制了聚类和相关社会人口因素后，与非残疾人相比，残疾人更有可能居住在 NPL 和 TSD 邻近度更高的社区。分类内分析显示，残疾人正经历“多重危险”，其定义是残疾与其他社会不利条件（如种族/少数民族和老年人身份）的融合，并因靠近污染源而加剧。在控制聚类和相关的社会人口因素之后。分类内分析显示，残疾人正经历“多重危险”，其定义是残疾与其他社会不利条件（如种族/少数民族和老年人身份）的融合，并因靠近污染源而加剧。在控制聚类和相关的社会人口因素之后。分类内分析显示，残疾人正经历“多重危险”，其定义是残疾与其他社会不利条件（如种族/少数民族和老年人身份）的融合，并因靠近污染源而加剧。