TY - JOUR
AU1 - Lu, Zhongyang
AU2 - Chow, Andy H. F.
AU3 - Leung, Jacky
AU4 - Kwok, Haydn
AU5 - Cheung, Sammy
AB - Congestion and traffic-induced air pollution are associated with population growth and economic development. Compared with congestion, there are relatively few studies on modeling and assessment of traffic-induced pollution. This paper presents an empirical assessment and analysis of traffic-induced air pollution with real-world data collected from the Hong Kong Strategic Road Network. The study employed historical data of traffic flows, speeds, and emission of air pollutants collated by the Hong Kong Transport Department and Environmental Protection Department. This paper first reveals the correlation between traffic flows, speeds, and corresponding induced pollutants including nitrogen oxides (NO2, NOX) and carbon monoxide (CO). To gain further statistical insight, a regression analysis was conducted on the flow–speed–emission relationship at three air quality monitoring stations, which revealed the significance of various factors on this relationship. This study contributes to green transport management and urban sustainability.
TI - Empirical Assessment and Modeling of Traffic-induced Air Pollution
JF - Transportation Research Record
DO - 10.1177/03611981211023769
DA - 2021-11-01
UR - https://www.deepdyve.com/lp/sage/empirical-assessment-and-modeling-of-traffic-induced-air-pollution-5PC1e31iwd
SP - 1043
EP - 1053
VL - 2675
IS - 11
DP - DeepDyve
ER -