Uncovering Early Adopter's Perceptions and Purchase Intentions of Automated Vehicles: Insights from Early Adopters of Electric Vehicles in California
Research on vehicle automation is one of the most current topics in transportation. Some of the questions plaguing the research community include design, cost, and adoption. Many of these questions will remain unanswered until automated vehicles are available to the consumer. In this study, the authors use a sample of California new electric vehicle buyers to understand if and how current adopters of new vehicle technologies will adopt automated vehicles. They find that many respondents are interested in purchasing an automated vehicle but indicate that they only have average knowledge of the technology. Using an ordinal logit model, the authors model the interest in purchasing a fully-automated vehicle and find that younger men who purchase higher cost vehicles are more interested in purchasing a fully-automated vehicle. Above all else, those who perceive automated vehicles as being safer than non-automated vehicles have an interest in purchasing an automated vehicle.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADC70 Standing Committee on Transportation Energy.
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Corporate Authors:
Transportation Research Board
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Authors:
- Berliner, Rosaria M
- Hardman, Scott
- 0000-0002-0476-7909
- Tal, Gil
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Conference:
- Transportation Research Board 98th Annual Meeting
- Location: Washington DC, United States
- Date: 2019-1-13 to 2019-1-17
- Date: 2019
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 7p
Subject/Index Terms
- TRT Terms: Automobile ownership; Autonomous vehicles; Consumer behavior; Decision making; Electric vehicles; Logits; Market assessment; Socioeconomic factors
- Geographic Terms: California
- Subject Areas: Data and Information Technology; Economics; Highways; Planning and Forecasting; Policy; Vehicles and Equipment;
Filing Info
- Accession Number: 01698015
- Record Type: Publication
- Report/Paper Numbers: 19-03708
- Files: TRIS, TRB, ATRI
- Created Date: Mar 1 2019 3:51PM