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Life Cycle Greenhouse Gas Impacts of a Connected and Automated SUV and Van

dc.contributor.authorKemp, Nick
dc.contributor.advisorKeoleian, Greg
dc.date.accessioned2020-04-28T20:25:44Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2020-04-28T20:25:44Z
dc.date.issued2020-05
dc.date.submitted2020-04
dc.identifier.urihttps://hdl.handle.net/2027.42/154852
dc.description.abstractThe connected and automated vehicle (CAV) is a fundamentally disruptive technology that will change the future of mobility. Existing studies that evaluate the environmental impacts of CAV technology focus on light duty passenger cars (sedans); little is known about its impact on sport utility vehicles (SUVs) and vans. This thesis research applies life cycle modeling methodology to understand greenhouse gas emissions and primary energy use of a CAV SUV and van deployed as a ridesource fleet vehicle. Our focus on SUVs and vans as ridesourcing fleet vehicles in this study is motivated by two major market trends: 1. Increasing SUV sales and 2. An increase in usage of ridesourcing services. The results of this research show that current automated vehicle technology does not provide a direct path to reducing vehicle life cycle GHG emissions. The work presented in this thesis was submitted for publication in the journal Transportation Research Part D: Transport and the Environment. The publication decision is still pending at this time.en_US
dc.language.isoen_USen_US
dc.subjectPrimary energy use Greenhouse Gas Emissionsen_US
dc.subjectautomated vehicleen_US
dc.subjectlife cycleen_US
dc.subjectSUVen_US
dc.titleLife Cycle Greenhouse Gas Impacts of a Connected and Automated SUV and Vanen_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineSchool for Environment and Sustainabilityen_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.contributor.committeememberHe, Xiaoyi
dc.identifier.uniqnamekempnicen_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/154852/1/Kemp, Nick_Thesis.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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