Record Display for the EPA National Library Catalog

RECORD NUMBER: 45 OF 396

OLS Field Name OLS Field Data
Main Title Atlanta commute vehicle soak and start distributions and engine starts per day impact on mobile source emission rates / [electronic resource] :
Author Guensler, R. ; Yoon, S. ; Li, H. ; Elango, V. ;
Other Authors
Author Title of a Work
Guensler, Randall.
CORP Author Georgia Inst. of Tech., Atlanta. School of Civil and Environmental Engineering.;Environmental Protection Agency, Research Triangle Park, NC. Air Pollution Prevention and Control Div.
Publisher U.S. Environmental Protection Agency, Office of Research and Development,
Year Published 2007
Report Number EPA/600/R-07/075
Stock Number PB2007-112660
Subjects Vehicles--Motors--Exhaust gas--Mathematical models. ; Vehicles--Motors--Exhaust gas--Georgia--Atlanta.
Additional Subjects Gasoline vehicles ; Impacts ; Mobile source emission rates ; Soak and start time distributions ; Engine starts per day ; Commute Atlanta vehicle activity data ; Vehicle trip data ; Light duty vehicles ; Light duty trucks ; Atlanta(Georgia)
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100AE2E.PDF
Abstract http://www.epa.gov/nrmrl/pubs/600r07075/600r07075.htm
http://www.epa.gov/nrmrl/pubs/600r07075/600r07075.pdf
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2007-112660 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 07/09/2008
Collation 1 online resource (x, 53 p.) : ill., charts, digital, PDF file.
Abstract
The objective of research efforts reported herein is to develop gasoline vehicle soak and start time distributions and engine starts per day for EPA light-duty vehicle (LDV) and light-duty truck (LDT combining LDT1, LDT2, LDT3, and LDT4) classes using vehicle trip data collected in the 13-county Atlanta metropolitan area during the calendar year 2004. Given the equipment and methods used in the Commute Atlanta vehicle activity data can be linked back to general household demographic parameters (household income, household size, and vehicle ownership) and vehicle characteristics (vehicle type and model year). Approximately 80-85% of the vehicles in the study are not shared, meaning that most vehicle activity can also be linked back to individual driver characteristics (age and gender).
Notes
Title from title screen (viewed Nov. 8, 2010). Includes bibliographic references (p. 53). "April 2007." "EPA/600/R-07/075." "Contract No: EP-05C-000127."