Traffic-related air emissions in Houston: Effects of light-rail transit

被引:15
|
作者
Park, Eun Sug [1 ]
Sener, Ipek Nese [2 ]
机构
[1] Texas A&M Transportat Inst, 3135 TAMU, College Stn, TX 77843 USA
[2] Texas A&M Transportat Inst, 505 E Huntland Dr,Suite 455, Austin, TX 78752 USA
基金
美国国家卫生研究院;
关键词
Light-rail transit; Intervention; Air pollution; Houston; Vehicle exhaust; Interrupted time series analysis; POLLUTION;
D O I
10.1016/j.scitotenv.2018.09.169
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recent studies have suggested that automobile pollution poses significantly more harmful health impacts than previously realized. Light-rail transit (LRT) is a major type of transportation infrastructure, but there has been little research assessing the air quality effects of LRT based on the actual air pollution data. This study aimed to assess the effects of LRT on automobile-related air emissions in Houston. Specifically, we examined the effects of LRT on key tailpipe pollutants-carbon monoxide and acetylene-as well as other traffic pollution surrogates referred to as BTEX (benzene, toluene, ethylbenzene, and xylene), measured fromambient airmonitoring stations. An interrupted time series design and analysis was used to determine the impact of an intervention, where the intervention was the opening of an LRT on January 1, 2004, with two years (2002-2003) of before and two years (2004-2005) of after period data. We found that, after controlling for weather, the opening of the LRT was associatedwith statistically significant reductions in traffic-related airemissions. Specifically, at the exposure sites, the daily maximumcarbonmonoxide level was reduced roughly by 24%, and the daily level of toluene was reduced roughly by 60% (33% after accounting for the reduction at the comparison site). Our findings lend support to the air quality benefits of LRT by providing suggestive evidence of positive effects of LRT based on actual air pollution monitoring data. This study's findings also emphasize the importance of developing effective measures to assess traffic-related pollution and call for advanced data collection strategies of additional data, including traffic volume and speed data. Published by Elsevier B.V.
引用
收藏
页码:154 / 161
页数:8
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