Autonomous vehicles: Willingness to pay and the social dilemma
Autonomous driving technologies are advancing rapidly, and determining when consumers ride in driverless vehicles on a daily basis is becoming essential. Using choice experiments, first, the authors elicit consumers’ willingness to pay (WTP) for autonomous driving systems in Japan along with their WTP for hybrid and electric engines. The authors found in this study that the Japanese consumers’ WTP is, on average, lower than the estimates for the US market and is not sufficient to enable autonomous vehicles (AVs) to capture a meaningful share of the existing car market. Second, compared with a previous study in the US, the authors propose and discuss an expected social dilemma caused by the ethical problems that AVs will face, known as the Trolley Problems. The authors find that social dilemma may occur because people tend not want to buy “moral” AVs. Third, the authors explored the determinants of the WTP and social dilemma to find that the credibility of AVs is determined to be a critical factor for the social dilemma.
- Record URL:
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
-
Supplemental Notes:
- © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
-
Authors:
- Morita, Tamaki
- Managi, Shunsuke
- Publication Date: 2020-10
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
-
Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 119
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Artificial intelligence; Automobile ownership; Autonomous vehicles; Costs; Ethics; Market share; Social factors
- Geographic Terms: Japan
- Subject Areas: Data and Information Technology; Economics; Highways; Society; Vehicles and Equipment;
Filing Info
- Accession Number: 01752625
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 22 2020 2:28PM