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dc.contributor.authorFox-Penner, Peteren_US
dc.contributor.authorGorman, Willen_US
dc.contributor.authorHatch, Jenniferen_US
dc.date.accessioned2021-11-04T13:24:37Z
dc.date.available2021-11-04T13:24:37Z
dc.date.issued2018-07-01
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0301421518304737?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb
dc.identifier.citationP. Fox-Penner, W. Gorman, J. Hatch. 2018. "Long-term U.S transportation electricity use considering the effect of autonomous-vehicles: Estimates & policy observations." Energy Policy, Volume 122, pp. 203 - 213. https://doi.org/10.1016/j.enpol.2018.07.033
dc.identifier.issn0301-4215
dc.identifier.urihttps://hdl.handle.net/2144/43268
dc.description.abstractIn this paper, we model three layers of transportation disruption – first electrification, then autonomy, and finally sharing and pooling – in order to project transportation electricity demand and greenhouse gas emissions in the United States to 2050. Using an expanded kaya identity framework, we model vehicle stock, energy intensity, and vehicle miles traveled, progressively considering the effects of each of these three disruptions. We find that electricity use from light duty vehicle transport will likely be in the 570–1140 TWh range, 13–26%, respectively, of total electricity demand in 2050. Depending on the pace at which the electric sector decarbonizes, this increase in electric demand could correspond to a decrease in LDV greenhouse gas emissions of up to 80%. In the near term, rapid and complete transport electrification with a carbon-free grid should remain the cornerstones of transport decarbonization policy. However, long-term policy should also aim to mitigate autonomous vehicles’ potential to increase driving mileage, urban and suburban sprawl, and traffic congestion while incentivizing potential energy efficiency improvements through both better system management and the lightweighting of an accident-free vehicle fleet.en_US
dc.format.extentp. 203 - 213en_US
dc.language.isoen_US
dc.publisherElsevier BVen_US
dc.relation.ispartofEnergy Policy
dc.rights© 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectU.S. transport electrificationen_US
dc.subjectKaya identityen_US
dc.subjectLight duty vehicleen_US
dc.subjectAutonomous vehicleen_US
dc.titleLong-term U.S transportation electricity use considering the effect of autonomous-vehicles: estimates & policy observationsen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.1016/j.enpol.2018.07.033
pubs.elements-sourcemanual-entryen_US
pubs.notesBasic or Discovery Scholarshipen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, Questrom School of Businessen_US
pubs.organisational-groupBoston University, Questrom School of Business, Markets, Public Policy & Lawen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv467615


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© 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Except where otherwise noted, this item's license is described as © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).