Grantee Research Project Results
2010 Progress Report: Global-to-Urban Models For Minimizing Air Quality And Climate Impacts Of Freight Choice
EPA Grant Number: R834280Title: Global-to-Urban Models For Minimizing Air Quality And Climate Impacts Of Freight Choice
Investigators: Bond, Tami C. , Smith, Steven J. , Lee, Bumsoo , Barkan, Chris , Ouyang, Yanfeng
Institution: University of Illinois Urbana-Champaign , Pacific Northwest National Laboratory
EPA Project Officer: Hahn, Intaek
Project Period: November 1, 2009 through October 31, 2012 (Extended to January 31, 2014)
Project Period Covered by this Report: November 1, 2009 through October 31,2010
Project Amount: $599,560
RFA: Adaptation for Future Air Quality Analysis and Decision Support Tools in Light of Global Change Impacts and Mitigation (2008) RFA Text | Recipients Lists
Research Category: Air Quality and Air Toxics , Air , Climate Change
Objective:
We will integrate existing models to produce a global-regional-urban emission model of the international freight system; identify multiple impacts of freight handling decisions under a range of global economic scenarios; and identify robust decisions regarding the freight handling infrastructure under future uncertainty. Hypotheses involve: (1) dominant environmental impacts of freight handling; (2) dependence of modal shift solutions on prior investment; (3) impact of spatial distribution of employment activity centers on emissions; and (4) siting of intermodal terminals.Progress Summary:
Three teams are working on this project.Freight logistics group: Developed a database combining the Freight Analysis Framework from the U.S. Department of Transportation and the Commodity Flow Survey data from the U.S. Census Bureau. Used this data set to explore the choice of freight mode shipping and developed coefficients to describe inter-zone freight transportation.
Urban spatial structure group: Defined urban spatial structure as the distribution of jobs (and population) in urban space, developed measures of urban spatial structure in terms of clustering and polycentricity, and analyzed changes in spatial structure during the 1990s.
Technology and emissions group: Developed a method of representing uncertainty in a fleet dynamic model of global on-road technology that simulates the period 2000-2030.
Future Activities:
The freight logistics team will connect the modal-split model with a macroeconomic model that projects commodities, to express inter-zone freight delivery under a single economic scenario. This group also will begin a closer collaboration with the urban spatial structure group to estimate intra-zone freight delivery. The urban spatial structure group will develop three scenarios about future urban development patterns, distribution of jobs and population: (1) business as usual, (2) polycentric development, and (3) centralization. The technology and emissions modeling group will increase model resolution within the United States and add rail emissions, and run global simulations of atmospheric chemistry to estimate emission-concentration relationships.Journal Articles:
No journal articles submitted with this report: View all 21 publications for this projectSupplemental Keywords:
exposure, particulate matter, ozone, emissions, ambient air, urban air quality, background air quality, global climate, railroad, trucking, RFA, Air, Atmosphere, Air Pollution Effects, climate change, environmental monitoringRelevant Websites:
Progress and Final Reports:
Original AbstractThe perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.