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AuthorTolga, Ercan
AuthorOnat, Nuri C.
AuthorKeya, Nowreen
AuthorTatari, Omer
AuthorEluru, Naveen
AuthorKucukvar, Murat
Available date2023-06-21T10:43:27Z
Publication Date2022-10-08
Publication NameTransportation Research Part D: Transport and Environment
Identifierhttp://dx.doi.org/10.1016/j.trd.2022.103472
CitationErcan, T., Onat, N. C., Keya, N., Tatari, O., Eluru, N., & Kucukvar, M. (2022). Autonomous electric vehicles can reduce carbon emissions and air pollution in cities. Transportation Research Part D: Transport and Environment, 112, 103472.
ISSN1361-9209
URIhttps://www.sciencedirect.com/science/article/pii/S136192092200298X
URIhttp://hdl.handle.net/10576/44653
AbstractHeavy dependence on personal vehicle usage made the transportation sector a major contributor to global climate change and air pollution in cities. In this study, we analyzed autonomous electric vehicles and compared their potential environmental impacts with public transportation options, carpooling, walking, cycling, and various transportation policy applications such as limiting lane-mile increases, and carbon tax. Fractional split multinomial logit and system dynamics modeling approaches are integrated to create a novel hybrid simulation model to process data from 929 metro/micropolitan areas in the U.S. for transportation mode choice behavior. The results show that the adoption of autonomous electric vehicles can reduce greenhouse gas emissions by up to 34% of the total emissions from transportation by 2050. This study has revealed that transportation-related impacts can only be reduced with a paradigm shift in the current practices of today’s transportation industry, with disruptive reforms of automation, electrification, and shared transport.
SponsorThis work was supported in part by an award to the University of Central Florida, as part of Grant No. DTRT13-G-UTC51 from the U.S. Department of Transportation’s University Transportation Centers Program.
Languageen
PublisherElsevier
SubjectAutonomous electric vehicles
Multimodal Transportation
Transportation Mode Choice
System Dynamics
Fractional Split Multinomial Logit
Shared transport
TitleAutonomous electric vehicles can reduce carbon emissions and air pollution in cities
TypeArticle
Volume Number112
ESSN1879-2340
dc.accessType Full Text


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