Clusters of potential autonomous vehicles users according to propensity to use individual versus shared vehicles
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29% of survey participants in Australia are non-adopters of any kind of autonomous vehicle.
“Although Pettigrew et al. (2019) conclude high interest for SAVs in Australia, 29% of the survey participants are found to be non-adopters of any kind of autonomous vehicle.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Pettigrew et al., 2019
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Cites
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Diepeveen, S., Ling, T., Suhrcke, M., Roland, M., & Marteau, T. M. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-756 · Cited by 656 · see citing works
Crayton, T. J., & Meier, B. M. (2017) · Journal of Transport & Health · doi:10.1016/j.jth.2017.04.004 · Cited by 181 · see citing works
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Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
- Authors
- Pettigrew, S., Dana, L. M., & Norman, R.
- Affiliations
- Curtin University (AU)
- Corresponding author
- Pettigrew, Simone
- Venue
- Transport Policy
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 76
- Pages
- 13-20
- ISSN
- 0967-070X (ISSN-L)
- OpenAlex
- W2913953512
- Cited by
- 101
- References
- 4
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 17 · 2023: 22 · 2022: 17 · 2021: 10 · 2020: 11 · 2019: 6
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Transport Policy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eSpace (Curtin University) (submittedVersion, cc-by-nc-nd)
- Funders
- Bankwest Curtin Economics Centre
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- autonomous vehicles, shared autonomous vehicles, private vehicle ownership, ride-sharing, technology adoption, customer segmentation, latent profile analysis, adoption intention, early adopters
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