Authors: Suriya Vallamsundar; Jane Lin; Young-Tae Chang
Addresses: Environment and Air Quality Division, Texas A&M Transportation Institute, 9441 LBJ Freeway, Suite 103, Dallas, TX 75243, USA ' Department of Civil and Materials Engineering; Institute for Environmental Science and Policy, University of Illinois at Chicago, 842 W. Taylor Street, Chicago, IL 60607, USA ' Graduate School of Logistics, Inha University, Incheon, Korea
Abstract: This study presents a methodology to develop finely resolved population health exposure metrics from vehicular emissions and to estimate their corresponding monetary values. The US Environmental Protection Agency's regulatory models, namely MOVES and AERMOD models, are employed for estimating traffic related particulate matter (PM2.5) emissions and near-road pollutant concentrations respectively. Population health exposure is assessed using an exposure metric of intake fraction (iF) that measures the fraction of the pollutant inhaled by an exposed population over a defined period of time. The methodology is carried out on a real world case study of the Gold Coast region in City of Chicago. Results show that 75% of concentrations occur within 300 m which translates to 78% of population health exposure. In contrast, their physical impacts and economic losses incurred in a much wider area reaching out to a distance of 800 m and capturing 93% of the total impact.
Keywords: externality; transport pollutants; population health exposure; MOVES; AERMOD; vehicle emissions; near-road emissions; traffic emissions; particulate matter; PM2.5; USA; United States; regulatory models; air pollution; pollution exposure; physical impact; economic losses.
International Journal of Shipping and Transport Logistics, 2016 Vol.8 No.6, pp.632 - 652
Available online: 25 Aug 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article