Department of Civil and Mineral Engineering, University of Toronto, Galbraith Building, 35 St George Street, Toronto, ON, M5S 1A4, Canada.
Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Lady Meredith, 1110 Pine Ave West, Montreal, QC, H3A 1A3, Canada.
Environ Res. 2020 May;184:109326. doi: 10.1016/j.envres.2020.109326. Epub 2020 Mar 4.
This study evaluates the daily exposure of urban residents across various commuting modes and destinations by intersecting data from a travel survey with exposure surfaces for ultrafine particles and black carbon, in Toronto, Canada. We demonstrate that exposure misclassification is bound to arise when we approximate daily exposure with the concentration at the home location. We also identify potential inequities in the distribution of exposure to traffic-related air pollution whereby those who are mostly responsible for the generation of traffic-related air pollution (drivers and passengers) are exposed the least while active commuters and transit riders, are exposed the most.
本研究通过将出行调查数据与超细颗粒和黑碳暴露面进行交叉分析，评估了加拿大多伦多市不同通勤模式和目的地的城市居民的日常暴露情况。我们表明，当我们用家庭位置的浓度来近似每日暴露时，必然会出现暴露分类错误。我们还发现了与交通相关的空气污染暴露分布中的潜在不平等现象，即那些最主要产生交通相关空气污染的人（司机和乘客）暴露最少，而积极通勤者和公交乘客暴露最多。
