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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Policyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy Policy
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Carbon dioxide emission trends in cars and light trucks: A comparative analysis of emissions and methodologies for Florida's counties (2000 and 2008)

Authors: Garren, Sandra J.; Pinjari, A.; Brinkmann, Robert;

Carbon dioxide emission trends in cars and light trucks: A comparative analysis of emissions and methodologies for Florida's counties (2000 and 2008)

Abstract

Abstract This paper investigates methodologies to quantify CO2 emissions from cars and light trucks in Florida. The most widely used methodology to calculate greenhouse gas emissions in the transportation sector at the local level uses a harmonic average (HA) methodology based on nationally averaged fuel economies that assume 55% city and 45% highway VMTs. This paper presents a local condition (LC) methodology that accounts for county-level variations in city and highway VMTs, as opposed to assumed uniform driving conditions. Both HA and LC methodologies were used to estimate and compare absolute and per capita CO2 emissions both statewide and counties for 2000 and 2008. From 2000 to 2008, statewide absolute and per capita CO2 emissions increased similarly using HA and LC methodologies; however, the percent change varied considerably among counties. Statewide CO2 emissions calculated from HA and LC methodologies differed by only −0.2% (2000) and 1.7% (2008); however, the differences in the county-level emissions ranged from −8.0% to 14.9% (2000) and from −5.6% to 17.0% (2008). While either the HA or the LC methodology yields a similar result statewide, significant variation exists at the county level, warranting the need to consider local driving conditions when estimating county-level emissions.

Country
United States
Related Organizations
Keywords

on-road transportation, 330, 336, carbon dioxide emissions, greenhouse gas accounting

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average