|
Title: Consumers’ Willingness to Adopt Autonomous and Electric Vehicles: A Cross-Generational Analysis
Accession Number: 01697773
Record Type: Component
Abstract: Autonomous vehicles (AVs) have clocked millions of miles on the roads and their release for public use is no longer a question of if but when. The current study is designed to address two major questions regarding consumers’ adoption behavior of AVs. First, it explores how different generational cohorts will respond to the emergence of AVs and discloses the main determinants of their adoption decision. Second, it investigates whether there is an association between people’s interests in autonomous mobility and their vehicle fuel type choice behavior. Three major generational cohorts of Baby Boomers, Generation Xers, and Millennials are considered in this study and generation-specific joint models of vehicle automation choice and fuel type choice have been developed. It is found that the determinants of individuals’ willingness to adopt autonomous vehicles are largely different across generations. Even the variables that are found to be significant in decision behavior of multiple generations have heterogeneous influences on the decision outcomes. Further, the significance of the correlation coefficients confirms the hypothesis that there is a correlation between the unobserved factors affecting the two components of the joint structure (i.e., vehicle automation choice and fuel type choice). More specifically, it is found that the unobserved factors that increase the propensity to choose non-gasoline fuel types are likely to increase the chance of adopting autonomous vehicles.
Supplemental Notes: This paper was sponsored by TRB committee ADB00 Section - Travel Analysis Methods.
Report/Paper Numbers: 19-00788
Language: English
Corporate Authors: Transportation Research BoardAuthors: Shabanpour, RaminGolshani, NimaMohammadian, Abolfazl (Kouros)Pagination: 4p
Publication Date: 2019
Conference:
Transportation Research Board 98th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: References
TRT Terms: Subject Areas: Energy; Highways; Planning and Forecasting; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2019 Paper #19-00788
Files: TRIS, TRB, ATRI
Created Date: Dec 7 2018 9:36AM
|