Gaffron Philine, Niemeier Deb
Institute for Transport Planning and Logistics, Hamburg University of Technology, 21071 Hamburg, Germany.
Department of Civil and Environmental Engineering, University of California Davis, One Shields Avenue, Davis, CA 95616, USA.
Int J Environ Res Public Health. 2015 Feb 11;12(2):2009-25. doi: 10.3390/ijerph120202009.
It has been shown that the location of schools near heavily trafficked roads can have detrimental effects on the health of children attending those schools. It is therefore desirable to screen both existing school locations and potential new school sites to assess either the need for remedial measures or suitability for the intended use. Current screening tools and public guidance on school siting are either too coarse in their spatial resolution for assessing individual sites or are highly resource intensive in their execution (e.g., through dispersion modeling). We propose a new method to help bridge the gap between these two approaches. Using this method, we also examine the public K-12 schools in the Sacramento Area Council of Governments Region, California (USA) from an environmental justice perspective. We find that PM2.5 emissions from road traffic affecting a school site are significantly positively correlated with the following metrics: percent share of Black, Hispanic and multi-ethnic students, percent share of students eligible for subsidized meals. The emissions metric correlates negatively with the schools' Academic Performance Index, the share of White students and average parental education levels. Our PM2.5 metric also correlates with the traffic related, census tract level screening indicators from the California Communities Environmental Health Screening Tool and the tool's tract level rate of asthma related emergency department visits.
研究表明,学校位于交通繁忙道路附近会对就读这些学校的儿童健康产生不利影响。因此,有必要对现有学校选址和潜在的新校址进行筛选,以评估是否需要采取补救措施或是否适合预期用途。当前用于学校选址的筛选工具和公共指南,要么在空间分辨率上过于粗糙,无法评估单个校址,要么在执行过程中资源消耗极大(例如通过扩散模型)。我们提出了一种新方法,以帮助弥合这两种方法之间的差距。使用这种方法,我们还从环境正义的角度审视了美国加利福尼亚州萨克拉门托地区政府理事会辖区内的公立K-12学校。我们发现,影响学校选址的道路交通产生的PM2.5排放与以下指标显著正相关:黑人、西班牙裔和多族裔学生的百分比、符合补贴餐资格的学生百分比。排放指标与学校的学术表现指数、白人学生比例和平均家长教育水平呈负相关。我们的PM2.5指标还与加利福尼亚社区环境卫生筛查工具中与交通相关的普查区层面筛查指标以及该工具普查区层面的哮喘相关急诊就诊率相关。