The determinants of Portuguese preference for vehicle automation: A descriptive and explanatory study
During the last century, innovation of automated vehicles (AVs) technologies are successively maturing while progressively excluding the human intervention in vehicle driving. The objective of this paper was to analyze the determinants of Portuguese drivers’ decision to adopt AVs technologies, in an under explored context, where the driver of contemporary vehicles does all or part of the dynamic driving task (DDT) in comparison to vehicles equipped with Automated Driving systems (ADS) where the driver can become a passenger temporarily or permanently. In addition, willingness-to-pay for ADS estimates were also investigated. This study data was collected through a survey designed and deployed in Portugal. A mixed logit model was estimated, and the results obtained are in line with the literature of AVs in a number of determinants, but also highlights differences that can be explained by the Portuguese cultural, social and economic context. Overall, 83.7% of the Portuguese drivers favor contemporary vehicles, today, and among those who prefer vehicles with ADS, highly educated drivers’ are willing to pay, on average, 65,671 € for Conditional AVs, 31,185 € for Highly AVs, and about 28,622 € for Full AVs.
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Availability:
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Supplemental Notes:
- © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Rodrigues, Rita
- Moura, Filipe
- Silva, Ana Bastos
- Seco, Álvaro
- Publication Date: 2021-1
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 121-138
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Serial:
- Transportation Research Part F: Traffic Psychology and Behaviour
- Volume: 76
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1369-8478
- Serial URL: http://www.sciencedirect.com/science/journal/13698478
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Choice models; Costs; Decision making; Driver support systems; Drivers; Logits; Stated preferences; Surveys
- Geographic Terms: Portugal
- Subject Areas: Finance; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01763132
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 3 2021 2:23PM