Uncovering early adopter’s perceptions and purchase intentions of automated vehicles: Insights from early adopters of electric vehicles in California
Autor: | Scott Hardman, Rosaria M Berliner, Gil Tal |
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Rok vydání: | 2019 |
Předmět: |
050210 logistics & transportation
business.product_category business.industry media_common.quotation_subject 05 social sciences Transportation Sample (statistics) Automation Purchasing Early adopter Perception SAFER 0502 economics and business Automotive Engineering Electric vehicle 0501 psychology and cognitive sciences Marketing business 050107 human factors Applied Psychology Consumer behaviour Civil and Structural Engineering media_common |
Zdroj: | Transportation Research Part F: Traffic Psychology and Behaviour. 60:712-722 |
ISSN: | 1369-8478 |
DOI: | 10.1016/j.trf.2018.11.010 |
Popis: | 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, we use a sample of California new electric vehicle buyers to understand if and how current adopters of new vehicle technologies will adopt automated vehicles. We 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, we 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. |
Databáze: | OpenAIRE |
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