عرض بسيط للتسجيلة

المؤلفTolga, Ercan
المؤلفOnat, Nuri C.
المؤلفKeya, Nowreen
المؤلفTatari, Omer
المؤلفEluru, Naveen
المؤلفKucukvar, Murat
تاريخ الإتاحة2023-06-21T10:43:27Z
تاريخ النشر2022-10-08
اسم المنشورTransportation Research Part D: Transport and Environment
المعرّفhttp://dx.doi.org/10.1016/j.trd.2022.103472
الاقتباسErcan, 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.
الرقم المعياري الدولي للكتاب1361-9209
معرّف المصادر الموحدhttps://www.sciencedirect.com/science/article/pii/S136192092200298X
معرّف المصادر الموحدhttp://hdl.handle.net/10576/44653
الملخصHeavy 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.
راعي المشروعThis 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.
اللغةen
الناشرElsevier
الموضوعAutonomous electric vehicles
Multimodal Transportation
Transportation Mode Choice
System Dynamics
Fractional Split Multinomial Logit
Shared transport
العنوانAutonomous electric vehicles can reduce carbon emissions and air pollution in cities
النوعArticle
رقم المجلد112
ESSN1879-2340
dc.accessType Full Text


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة