Willingness to Pay for Autonomous Vehicles: An Adaptive Choice-Based Conjoint Analysis Approach
The study of autonomous vehicles (AVs) has become a hot topic in recent years. Understanding consumers’ interests and priorities relating to AVs has motived researchers to conduct market analysis studies. This study aims to analyze the willingness to pay (WTP) of adult residents in the U.S. for AVs. Implementing adaptive choice-based conjoint analysis (ACBC), which is a special market analysis technique, and using comprehensible and realistic attributes in the survey, are the main innovations of this study. The results of this study show that vehicle fuel type is the most important attribute for respondents in their next vehicle, and after that level of automation of the vehicle was the second most important factor. Respondents distinctively preferred fully automated vehicles over partially automated vehicles. Moreover, respondents indicated positive intentions to use exemption or maximum discounts on taxes and registration fees and any possible incentives and amenities that help their mobility. The findings of this study could be utilized by transportation authorities, transportation economists, advanced transport system investment agencies, and collaborators in emerging transportation systems.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483138
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Supplemental Notes:
- © 2020 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400American Society of Civil Engineers
Transportation and Development Institute
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Nickkar, Amirreza
- Khadem, Nashid K
- Shin, Hyeon-Shic
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Conference:
- International Conference on Transportation and Development 2020
- Date: 2020-5-26 to 2020-5-29
- Publication Date: 2020-8
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 1-14
- Monograph Title: International Conference on Transportation and Development 2020: Emerging Technologies and Their Impact
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Choice models; Consumer preferences; Driving automation levels; Incentives; Market research; Subsidies
- Subject Areas: Economics; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01751266
- Record Type: Publication
- ISBN: 9780784483138
- Files: TRIS, ASCE
- Created Date: Sep 1 2020 3:57PM