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Cited by 341Economic and Environmental ValuationTransportation and Mobility InnovationsHuman-Automation Interaction and Safety

Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles

Open access
Daziano, Ricardo A., Sarrias, Mauricio, Leard, Benjamin·2017·Transportation Research Part C: Emerging Technologies
DOI 10.1016/j.trc.2017.03.003
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Crossref · 10.1016/j.trc.2017.03.003

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1 of 1 references verified0 citation errors · 0 not checkable

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  • At a particular time, the predicted benefit offered by an individual AV feature largely depends on AV price, acceptance, operational mode (private or shared), AV share in the traffic mix, level of automation in the traffic mix, and fuel efficiency.

    “At a particular time, the predicted benefit offered by individual AV feature will largely depend on the AV price, acceptance, operational mode (private or shared), AV share in the traffic mix, level of automation in the traffic mix, and fuel efficiency”

    From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Daziano, Sarrias, & Leard, 2017

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Authors
Daziano, R. A., Sarrias, M., & Leard, B.
Affiliations
  • Cornell University (US)
  • Universidad Católica del Norte (CL)
  • Resources For The Future (US)
Corresponding author
Daziano, Ricardo A.
ORCID
Venue
Transportation Research Part C: Emerging Technologies
Publisher
Elsevier BV
Published
2017-05
Volume
78
Pages
150-164
ISSN
0968-090X (ISSN-L)
DOI
10.1016/j.trc.2017.03.003
OpenAlex
W2543298339
Cited by
341
References
1
Citations by year
2026: 25 · 2025: 26 · 2024: 29 · 2023: 26 · 2022: 40 · 2021: 54 · 2020: 54 · 2019: 58 · 2018: 20 · 2017: 9
FWCI
69.40
Type
journal article
Language
en
Open access
Licence
Locations
Transportation Research Part C Emerging Technologies (acceptedVersion)
Funders
National Science Foundation (CMMI-1462289)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
Keywords
autonomous vehicles, willingness to pay, consumer preferences, vehicle automation, preference heterogeneity, discrete choice experiment, vehicle purchase, energy efficiency, consumer heterogeneity

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