Improving Vehicle Fleet, Activity, and Emissions Data for On-Road Mobile Sources Emissions Inventories
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Improving Vehicle Fleet, Activity, and Emissions Data for On-Road Mobile Sources Emissions Inventories

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  • Creators:
  • Corporate Creators:
    University of California, Riverside. Center for Environmental Research and Technology
  • Corporate Contributors:
    Federal Highway Administration (U.S.)
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    United States
  • Edition:
    Final Report
  • Corporate Publisher:
    Federal Highway Administration (U.S.)
  • Abstract:
    The U.S. Environmental Protection Agency (EPA)’s Motor Vehicle Emission Simulator (MOVES) has replaced MOBILE6 as a regulatory emissions model for use in State Implementation Plan (SIP) development and transportation conformity analyses in all States, except California. With several methodological improvements, MOVES appears to be more data intensive as compared to MOBILE6. Therefore, preparing local input data for model runs in MOVES can be challenging, if not demanding. Although much of the MOVES data requirements may be converted from existing data used in MOBILE6, some data still need to be newly developed or further refined. The modeling concepts and methodologies in MOVES are also significantly different from those in MOBILE6. For example, the functional design concepts in MOVES disaggregate emission sources primarily by source use type (e.g. passenger car, passenger truck, single-unit long-haul truck, etc.), each of which are further categorized into several source bins by several characteristics including model year, fuel type, engine technology, loaded weight, engine size, and regulatory class. As another example, the basis of vehicle activity for exhaust running emissions is source-hours operating (SHO) rather than vehicle-miles traveled (VMT) that have been used in the MOBILE model series. These modeling changes can be taken as a good opportunity for the transportation and air quality community to explore new data sources and to develop new methods for utilizing existing data sources to improve the emission inventory and analysis of on-road mobile sources.
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