VMT, energy consumption, and GHG emissions forecasting for passenger transportation

Rentziou, A; Gkritza, K; Souleyrette, RR

dc.contributor.author	Rentziou, A	en
dc.contributor.author	Gkritza, K	en
dc.contributor.author	Souleyrette, RR	en
dc.date.accessioned	2014-03-01T02:14:54Z
dc.date.available	2014-03-01T02:14:54Z
dc.date.issued	2012	en
dc.identifier.issn	09658564	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30171
dc.subject	Energy consumption	en
dc.subject	GHG	en
dc.subject	Passenger transportation	en
dc.subject	Random parameters	en
dc.subject	SURE	en
dc.subject	VMT	en
dc.subject.other	GHG	en
dc.subject.other	Passenger transportation	en
dc.subject.other	Random parameters	en
dc.subject.other	SURE	en
dc.subject.other	VMT	en
dc.subject.other	Economics	en
dc.subject.other	Elasticity	en
dc.subject.other	Electric load forecasting	en
dc.subject.other	Energy policy	en
dc.subject.other	Energy utilization	en
dc.subject.other	Forecasting	en
dc.subject.other	Fuels	en
dc.subject.other	Gas emissions	en
dc.subject.other	Investments	en
dc.subject.other	Population statistics	en
dc.subject.other	Transportation	en
dc.subject.other	Greenhouse gases	en
dc.subject.other	emission inventory	en
dc.subject.other	energy use	en
dc.subject.other	forecasting method	en
dc.subject.other	future prospect	en
dc.subject.other	globalization	en
dc.subject.other	greenhouse gas	en
dc.subject.other	panel data	en
dc.subject.other	parameterization	en
dc.subject.other	planning method	en
dc.subject.other	policy making	en
dc.subject.other	socioeconomic survey	en
dc.subject.other	transportation infrastructure	en
dc.subject.other	transportation mode	en
dc.subject.other	travel behavior	en
dc.subject.other	United States	en
dc.title	VMT, energy consumption, and GHG emissions forecasting for passenger transportation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.tra.2011.11.009	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.tra.2011.11.009	en
heal.publicationDate	2012	en
heal.abstract	Globalization, greenhouse gas emissions and energy concerns, emerging vehicle technologies, and improved statistical modeling capabilities make the present moment an opportune time to revisit aggregate vehicle miles traveled (VMT), energy consumption, and greenhouse gas (GHG) emissions forecasting for passenger transportation. Using panel data for the 48 continental states during the period 1998-2008, the authors develop simultaneous equation models for predicting VMT on different road functional classes and examine how different technological solutions and changes in fuel prices can affect passenger VMT. Moreover, a random coefficient panel data model is developed to estimate the influence of various factors (such as demographics, socioeconomic variables, fuel tax, and capacity) on the total amount of passenger VMT in the United States. To assess the influence of each significant factor on VMT, elasticities are estimated. Further, the authors investigate the effect of different policies governing fuel tax and population density on future energy consumption and GHG emissions. The presented methodology and estimation results can assist transportation planners and policy-makers in determining future energy and transportation infrastructure investment needs. © 2011 Elsevier Ltd.	en
heal.journalName	Transportation Research Part A: Policy and Practice	en
dc.identifier.doi	10.1016/j.tra.2011.11.009	en
dc.identifier.volume	46	en
dc.identifier.issue	3	en
dc.identifier.spage	487	en
dc.identifier.epage	500	en