A study on a commuter's exposure to black carbon (BC) in five different traffic modes (taxi, bus, subway, cycling and walking) was conducted in Xuhui District, Shanghai. A commuter's real-time exposure concentrations were recorded by MicroAeth AE51 BC monitors, and the average BC exposure concentration and inhalation dose were analyzed. Data collected by cyclist was applied to characterize the micro-variability in relation to traffic density and street topology. The distance to the traffic and the street topology as well as the volume of heavy diesel trucks were the dominant factors influencing the BC concentrations. In this study, a high variability of BC concentrations between streets and even within streets was observed, and also between days and hour of the day. The average BC exposure concentrations were 5.59±1.02 μg/m(3), 6.58±1.78 μg/m(3), 7.28±1.87 μg/m(3), 8.62±4.13 μg/m(3) and 9.43±2.89 μg/m(3) for walking, cycling, bus, taxi and subway trips, respectively. Exposure levels of in-vehicle microenvironments were 8.66±3.66 μg/m(3), 9.39±6.98 μg/m(3) and 10.96±2.72 μg/m(3) for bus, taxi and subway, respectively. While inhalation doses were 0.68±0.33 μg, 0.95±0.29 μg, 1.36±0.37 μg, 1.50±0.39 μg and 1.58±0.29 μg for taxi, subway, cycling, bus and walking, respectively. BC exposure level of walking was the lowest among all the traffic modes, but its inhalation dose was the highest.
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http://dx.doi.org/10.1016/j.scitotenv.2015.03.088 | DOI Listing |
Sci Total Environ
March 2023
College of Transportation Engineering, Chang'an University, Middle section of south 2nd Ring Road, Xi'an, Shaanxi Province 710064, China. Electronic address:
A Particulate Matter (PM) inhalation model considering exercise load is established to evaluate the impact of PM on residents' travel health. The study chooses PM detectors to collect PM concentrations at the various transportation space, including walking, bicycle, bus, taxi, and subway. A multiple linear regression model revised by road greening is utilized to study the influence factors that have a potential impact on the PM concentration.
View Article and Find Full Text PDFSci Rep
September 2022
Department of Computer Science, Rutgers University, Piscataway, NJ, 08854-8019, USA.
Understanding human mobility is of great significance for sustainable transportation planning. Long-term travel delay change is a key metric to measure human mobility evolution in cities. However, it is challenging to quantify the long-term travel delay because it happens in different modalities, e.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2021
School of Business, Hubei University, 368 Youyi Avenue, Wuhan, 430062, Hubei, China.
This paper examines a causal relationship between the opening of a city's subway system and its air quality by exploiting daily data on prefecture-level cities in China from 2000 to 2012. Using multi-period difference in differences (DID) method, we find that air quality can be significantly improved following a subway system opening. Robustness tests support the fundamental empirical results.
View Article and Find Full Text PDFBuild Environ
August 2021
Department of Mechanical and Aerospace Engineering, Syracuse University, 263 Link Hall, Syracuse, NY, 13244, USA.
The unprecedented coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made more than 125 million people infected and more than 2.7 million people dead globally. Airborne transmission has been recognized as one of the major transmission routes for SARS-CoV-2.
View Article and Find Full Text PDFEcotoxicol Environ Saf
May 2021
School of Automobile, Chang'an University, Chang'an Road, Xi'an, 710064 Shaanxi, PR China.
Commuters are reportedly exposed to severe traffic-related air pollution (TRAP) during their commuting trips. This study was designed and implemented to (1) compare particulate matter (PM) exposure across four common transportation modes; (2) examine and analyze various determining factors; and (3) estimate public health effects caused by commuting exposure to PM. All analyses and calculations were based on the experimental data collected from 13 volunteers, including heart-rate data on 336 commuting trips in four travel modes in Xi'an China.
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