Mapping distance-decay of premature mortality attributable to PM2.5 -related traffic congestion

Environmental Pollution
Weeberb J Requia, P Koutrakis

Abstract

Although several air pollution studies have examined the relationship between people living close to roadways and human health, we are unaware of studies that have examined the distance-decay of this effect based on a snapshot of congestion and focused on a micro-level traffic emission inventory. In this paper we estimate the distance-decay of premature mortality risk related to PM2.5 emitted by traffic congestion in Hamilton, Canada, in 2011 We employ the Stochastic User Equilibrium (SUE) traffic assignment algorithm to estimate congested travel times for each road link in our study area. Next, we used EPA's MOVES model to estimate mass of PM2.5, and then R-line dispersion model to predict concentration of PM2.5. Finally, we apply Integrated Exposure Response Function (IERF) to estimate PM2.5-related premature mortality at 100 m × 100 m grid resolution. We estimated total premature mortality over Hamilton to be 73.10 (95%CI: 39.05; 82.11) deaths per year. We observed that the proximity to a roadway increases the risk of premature mortality and the strength of this risk decreases as buffer sizes are increased. For example, we estimated that the premature mortality risk within buffer 0-100 m is 29.5% higher than for the buffer 1...Continue Reading

Citations

Jan 13, 2021·Journal of the Air & Waste Management Association·Yanni YangHuayan Shang
Jul 25, 2021·International Journal of Environmental Research and Public Health·Nilakshi T WaidyatillakeMark Stevenson
Jun 27, 2020·Environmental Science & Technology·Ming-Yeng LinPerng-Jy Tsai

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