Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12600
Title: Autonomous electric vehicles can reduce carbon emissions and air pollution in cities
Authors: Ercan, Tolga
Onat, Nuri C.
Keya, Nowreen
Tatari, Ömer
Eluru, Naveen
Küçükvar, Murat
Keywords: Autonomous electric vehicles
Shared transport
Transportation mode choice
Publisher: Elsevier
Abstract: Heavy 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.
Description: The authors declare that they have no conflict of interest. This 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.
URI: https://doi.org/10.1016/j.trd.2022.103472
https://hdl.handle.net/11147/12600
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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