The impact of Cold-start emissions on air pollution exposure during active travel

被引:8
|
作者
Jiang, Yun [1 ]
Song, Guohua [1 ,2 ]
Wu, Yizheng [1 ,2 ]
Zhai, Zhiqiang [1 ]
Zhang, Zeyu [1 ]
Yu, Lei [1 ,3 ]
机构
[1] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, 3 Shangyuancun, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, MOE Engn Res Ctr Clean & Low Carbon Technol Intell, 3 Shangyuancun, Beijing 100044, Peoples R China
[3] Texas Southern Univ, Coll Sci & Technol, 3100 Cleburne Ave, Houston, TX 77004 USA
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Cold start; Vehicle emission; Active travel mode; Human exposure; Air pollution modeling; POPULATION EXPOSURE; VEHICLE EMISSIONS; PERSONAL EXPOSURE; MODELS; TEMPERATURE; FRAMEWORK; MOBILITY; CARBON; GPS;
D O I
10.1016/j.trd.2022.103469
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In emissions modeling, emissions released during cold starts are often underestimated, especially at the network level. This study quantifies the impact of cold-start emissions on human exposure during active travel (i.e., walking and bicycling) and while waiting at bus stops during the morning peak hour. Cold-start emissions of carbon monoxide (CO) are found to account for 90.2% and 77.9% of emissions on local roads and minor arterials. Neglecting cold-start emissions leads to an 82.0% underestimation of emissions at the network level. The results show that CO expo-sures are underestimated by 82.1%, 67.1%, and 88.8% for travelers walking, bicycling, and waiting at bus stops, respectively, when cold-start emissions are not considered. This study ex-amines the significant contribution of cold-start emissions and recommends taking these into account in emissions modeling. The findings concerning active travelers indicate the need for a re-assessment of potential bias when neglecting cold-start emissions.
引用
收藏
页数:15
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