Record Display for the EPA National Library Catalog
RECORD NUMBER: 167 OF 516
|OLS Field Name||OLS Field Data|
|Main Title||EIIP Volume 4: Mobile Sources Preferred and Alternative Methods.|
|CORP Author||Eastern Research Group, Inc., Lexington, MA.;Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards.|
|Report Number||EPA-68-D-0160; EPA/457/R-97/004D;|
|Additional Subjects||Mobile pollutant sources ; Vehicle air pollution ; Air pollution sources ; Data management ; Fuel consumption ; Fuel economy ; Vehicle patterns ; Vehicle inspection ; Vehicle registration ; Vehicle maintenance ; Remote sensing ; Air pollution monitoring ; Exhaust emissions ; Emission factors ; Industrial factors ; Estimating ; Pollution regulations ; Data acquisition ; Data analysis ; Data processing ; Data quality ; Quality assurance ; Quality control ; Methodology ; Requirements ; Mathematical models ; Alternatives ; EIIP(Emission Inventory Improvement Program) ; Emission Inventory Improvement Program ; Emission inventories ; Clean Air Act Amendments of 1990|
This volume presents guidance on the use of three specific data sources for use in developing distributions used in the MOBILE emission factor model. These distributions include registration, mileage accumulation, travel distributions, fuel consumption, and vehicle miles traveled (VMT). In this document, methodologies and example calculations of the estimation of local on-road vehicle fleet characteristics and activity from inspection and maintenance (I/M) program, remote sensing, and fuel sales data are presented. Specific evaluations include the estimation of mileage accumulation rates, registration distributions, diurnal travel distributions and regional vehicle miles traveled (VMT). This guidance is separated into three topics according to the type of data being evaluated: develoment of regestration distributions and mileage accumulation rates from I/M program data; development of registration distributions, diurnal travel distributions, VMT mix, fleet registration information, and I/M program status from remote sensing program data; and development of fuel consumption and VMT from tax revenue and other data sources.