Estimating and incorporating CO2 emissions and associated fuel consumption into the Urban Mobility Report.
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2013-03-01
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Abstract:TTI’s Urban Mobility Report (UMR) is acknowledged as the most authoritative source of information about traffic congestion ; and its possible solutions. As policymakers from the local to national levels devise strategies to reduce greenhouse gas ; emissions and other pollutants, the level of interest in the environmental impact of congestion has increased. To this end, this ; research effort developed and applied a methodology for determining the emissions of carbon dioxide (CO2) due to congestion ; for use in the UMR. The methodology also estimated fuel consumption based upon the carbon dioxide emissions estimates. ; Researchers at the Texas A&M Transportation Institute (TTI) collaborated with researchers at the Wisconsin Energy Institute ; at the University of Wisconsin-Madison to develop CO2 estimates to include in the UMR. Researchers developed a five-step ; methodology using data from three primary data sources, 1) the Federal Highway Administration’s (FHWA’s) Highway ; Performance Monitoring System (HPMS), 2) INRIX traffic speed data, and 3) The United States Environmental Protection ; Agency’s (EPA) MOtor Vehicle Emission Simulator (MOVES) model. The research successfully developed and applied the ; methodology. Emission rates (lbs of CO2 per mile) were validated in selected cities, with results in the range of 80 percent to ; 99 percent of the literature values. Researchers incorporated the new methodology for all urban areas into the 2012 Urban ; Mobility Report and plan to include these same measures in future releases of the report. Researchers reported that, in 2011, ; 56 billion pounds of additional CO2 were produced in all 498 urban areas during congestion only, equating to 2.9 billion ; gallons of “wasted” fuel. Researchers reported the amount of CO2 produced at free-flow conditions (i.e., absent congestion) ; is 1.8 trillion pounds in 2011 in all 498 urban areas.
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Main Document Checksum:urn:sha-512:ce82dfaf1c3a2c574b39a1897ebb2c60f8027bfdd8ad07c2b382eea83475ad5d8b803247c8bf8a5f52f5090effd373e80bf8d549b6669122d004abc23ca24340