The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Factors Affecting the Adoption of Autonomous Vehicles for Commute Trips: An Analysis with the 2015 and 2017 Puget Sound Travel Surveys
Abstract
The emergence of autonomous vehicles (AVs) may shape the future landscape of urban mobility. Although there is a growing literature on public opinions with regard to self-driving, little attention has been explicitly given to the commuters and their preferences for their commute trips. Using data from the 2015 and 2017 Puget Sound Regional Household Travel Studies, this study investigates the factors associated with employees’ propensity for using AVs. We develop a bivariate ordered probit model to jointly estimate the determinants of levels of interest in (i) commuting alone using AVs and (ii) commuting with others using shared AVs. Not surprisingly, it was found that current solo drivers are more likely to commute alone using AVs compared with other mode users. Significant differences were not found between current drivers and other commuters when it comes to the potential use of shared AVs. The results also reveal that, controlling for other factors, commuters surveyed in 2017 are less likely to be interested in shared AVs compared with their 2015 counterparts. The conclusion is that more planning efforts are needed to support the market penetration of shared AVs.
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In the citing paper
“But, individuals residing in neighborhoods with dense public transit services will be less likely to use SAVs for daily commuting.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Wang & Akar, 2019
In the citing paper
“Wang & Akar (2019) ascertain that public transit riders, current users of car-sharing systems, individuals who have flexible work schedules and urban residents are more likely to use ride-sharing SAVs for commuting.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Wang & Akar, 2019
In the citing paper
“Also, individuals currently commuting alone in their private vehicles will continue to commute alone using their vehicles.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Wang & Akar, 2019
In the citing paper
“Further, Wang & Akar (2019) have found out that individuals' interests towards autonomous vehicles are not temporally stable.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Wang & Akar (2019)
Citations
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Cited by
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
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A multi-level model on automated vehicle acceptance (MAVA): a review-based study
Nordhoff, S., Kyriakidis, M., van Arem, B., & Happee, R. (2019) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2019.1621406 · Cited by 243
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Perceived usefulness and intentions to adopt autonomous vehicles
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Metadata
- Authors
- Wang, K., & Akar, G.
- Affiliations
- The Ohio State University (US)
- Corresponding author
- Wang, Kailai
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2019-01-19
- Volume
- 2673
- Issue
- 2
- Pages
- 13-25
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W2909094704
- Cited by
- 70
- References
- 29
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 9 · 2023: 15 · 2022: 16 · 2021: 9 · 2020: 6 · 2019: 2
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- autonomous vehicles, shared autonomous vehicles, technology adoption, commuting behavior, mode choice, Puget Sound, travel surveys, market penetration
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- CoChat. (2026). Citation check: Factors Affecting the Adoption of Autonomous Vehicles for Commute Trips: An Analysis with the 2015 and 2017 Puget Sound Travel Surveys. https://app.cochat.ai/papers/10.1177/0361198118822293
- The paper
- Wang, K., & Akar, G. (2019). Factors Affecting the Adoption of Autonomous Vehicles for Commute Trips: An Analysis with the 2015 and 2017 Puget Sound Travel Surveys. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/0361198118822293
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
