What have we learned? A review of stated preference and choice studies on autonomous vehicles
This paper provides a review of studies published in peer-reviewed journals, conference proceedings, and technical academic and private sector reports on surveys about autonomous vehicles (AVs) from 2012 onward. The studies and respective surveys are categorized in this paper based on the study objectives and methodology applied. More than half of the reviewed studies on AVs focus on capturing individuals’ behavioral characteristics and perceptions. The second most prevalent category includes studies about individuals’ willingness to pay to use AVs. The reviewed studies were also categorized according to the study population. The paper identifies and classifies attitudinal questions in each survey into different components that may affect behavioral intention to ride in AVs and provides information on specific hypotheses that were set in the studies. Moreover, a discussion of the benefits, barriers/concerns, and opportunities related to the deployment of AVs is presented. The paper concludes by summarizing the lessons learned and outlining the research gaps.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
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Supplemental Notes:
- © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Gkartzonikas, Christos
- Gkritza, Konstantina
- Publication Date: 2019-1
Language
- English
Media Info
- Media Type: Web
- Features: References; Tables;
- Pagination: pp 323-337
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Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 98
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Attitudes; Autonomous vehicles; Behavior; Stated preferences
- Uncontrolled Terms: Willingness to pay
- Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01692416
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 7 2019 1:54PM