本文借助地理信息系统(GIS)空间分析、逻辑回归模型和空间自相关等技术,开展基于年龄、种族和受教育程度特征要素的空气污染暴露公正评价研究。结果表明:研究区基于这3个特征要素存在暴露不公正县域单元,但是仅有黑人(OR平均值为2.815)和少于4年教育程度(OR平均值为1.682)的人群不公正特征明显;除印第安人和少于4年教育程度的人群组外,研究区基于3个特征要素的空间自相关格局都存在高-高集聚特征。
Through integrating Geographical Information System(GIS)spatial analysis,logistic regression model,and spatial autocorrelation technology,this study analyzed the age-,race-,and education attainment based air pollution exposure justice in Texas State,USA.Results showed that exposure injustice exists in parts of county units in Texas,while it was only significantly for Black people(mean value of ORs was 2.815)and people with 4years or less education attainment(mean value of ORs was 1.682).Meanwhile,it was also observed that high-high agglomeration of spatial autocorrelation happened in most of age-,race-,and education attainment based air pollution exposure justice in Texas.