Cited by 78Transportation and Mobility InnovationsTransportation Planning and OptimizationHuman-Automation Interaction and Safety

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

Wang, Kailai, Akar, Gulsah·2019·Transportation Research Record: Journal of the Transportation Research Board

DOI 10.1177/0361198118822293

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1177/0361198118822293

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Travel and the Built Environment: A Meta-Analysis
Ewing, R., & Cervero, R. (2010) · Journal of the American Planning Association · doi:10.1080/01944361003766766 · Cited by 5,807
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214
Public opinion on automated driving: Results of an international questionnaire among 5000 respondents
Kyriakidis, M., Happee, R., & de Winter, J. C. F. (2015) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2015.04.014 · Cited by 1,383
The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
Fagnant, D. J., & Kockelman, K. M. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2013.12.001 · Cited by 1,177
Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Bansal, P., Kockelman, K. M., & Singh, A. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.01.019 · Cited by 1,025
User preferences regarding autonomous vehicles
Haboucha, C. J., Ishaq, R., & Shiftan, Y. (2017) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2017.01.010 · Cited by 996
Preferences for shared autonomous vehicles
Krueger, R., Rashidi, T. H., & Rose, J. M. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.06.015 · Cited by 861
Untitled work
(2015) · Transportation Research Board 94th Annual MeetingTransportation Research Board · Cited by 854
Intention to use a fully automated car: Attitudes and a priori acceptability
Payre, W., Cestac, J., & Delhomme, P. (2014) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2014.04.009 · Cited by 754
Estimating potential increases in travel with autonomous vehicles for the non-driving, elderly and people with travel-restrictive medical conditions
Harper, C. D., Hendrickson, C. T., Mangones, S. C., & Samaras, C. (2016) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2016.09.003 · Cited by 504

Show all 29 references

Research works printed but not linked: 11

Steck F., Transportation Research Record: Journal of the Transportation Research Board, 2018
Kornhauser A., 2013, Uncongested Mobility for All, While Improving Safety, Energy, and Environmental Consequences: New Jersey’s Area-Wide aTaxi System
Greenblatt J. B., Shaheen S. Automated Vehicles, On-Demand Mobility, and Environmental Impacts. https://link.springer.com/article/10.1007/s40518-015-0038-5. Accessed July 28, 2018. · DOI · Paper page
McKenzie B., 2011, Commuting in the United States: 2009
Menon N., 2018, International Journal of Sustainable Transportation, 1
Abraham H., 2017, Presented at 96th Annual Meeting of the Transportation Research Board
Howard D., 2014, Presented at 93rd Annual Meeting of the Transportation Research Board
Sener I. N., 2018, Presented at 97th Annual Meeting of the Transportation Research Board
Lavasani M., 2017, Presented at 96th Annual Meeting of the Transportation Research Board
Nair G. S., 2018, Transportation, 45, 1623
Greene W. H., 2009, Modelling ordered choices

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
Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature
Golbabaei, F., Yiğitcanlar, T., Paz, A., & Bunker, J. M. (2020) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc6040106 · Cited by 272
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
How will older adults use automated vehicles? Assessing the role of AVs in overcoming perceived mobility barriers
Faber, K., & van Lierop, D. (2020) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2020.01.022 · Cited by 141
Perceived usefulness and intentions to adopt autonomous vehicles
Xiao, J., & Goulias, K. G. (2022) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2022.05.007 · Cited by 128
Adoption and willingness to pay for autonomous vehicles: Attitudes and latent classes
Rahimi, A., Azimi, G., Asgari, H., & Jin, X. (2020) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2020.102611 · Cited by 99
Integration of shared autonomous vehicles (SAVs) into existing transportation services: A focus group study
Etminani-Ghasrodashti, R., Patel, R. K., Kermanshachi, S., Rosenberger, J. M., Weinreich, D. P., & Foss, A. W. (2021) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2021.100481 · Cited by 99
Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?
Wu, M., Wang, N., & Yuen, K. F. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122384 · Cited by 93
Review of studies on public acceptability and acceptance of shared autonomous mobility services: past, present and future
Bala, H., Anowar, S., Chng, S., & Cheah, L. W. (2023) · Transport Reviews · doi:10.1080/01441647.2023.2188619 · Cited by 85
Exploring willingness to use shared autonomous vehicles
Patel, R. K., Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2022) · International Journal of Transportation Science and Technology · doi:10.1016/j.ijtst.2022.06.008 · Cited by 78
Research on Parking Choice Behavior of Shared Autonomous Vehicle Services by Measuring Users’ Intention of Usage
Ye, X., Sui, X., Wang, T., Yan, X., & Chen, J. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2022.05.012 · Cited by 73
Modeling Users’ Adoption of Shared Autonomous Vehicles Employing Actual Ridership Experiences
Etminani-Ghasrodashti, R., Patel, R. K., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2022) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981221093632 · Cited by 68
Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs)
Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100794 · Cited by 63
Empirical evidence of bias in public acceptance of autonomous vehicles
Janatabadi, F., & Ermagun, A. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2021.12.005 · Cited by 53
Identifying individuals’ perceptions, attitudes, preferences, and concerns of shared autonomous vehicles: During- and post-implementation evidence
Patel, R. K., Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M., Pamidimukkala, A., & Foss, A. W. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100785 · Cited by 48
Selfish or Utilitarian Automated Vehicles? Deontological Evaluation and Public Acceptance
Liu, P., & Liu, J. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.1876357 · Cited by 46
Public Perception of Connected and Automated Vehicles: Benefits, Concerns, and Barriers from an Australian Perspective
Matin, A., & Dia, H. (2024) · Journal of Intelligent and Connected Vehicles · doi:10.26599/jicv.2023.9210028 · Cited by 36
Convergence of Emerging Transportation Trends: A Comprehensive Review of Shared Autonomous Vehicles
Almaskati, D. N., Kermanshachi, S., & Pamidimukkala, A. (2024) · Journal of Intelligent and Connected Vehicles · doi:10.26599/jicv.2023.9210043 · Cited by 36
Rumors in the air? Exploring public misconceptions about automated vehicles
Du, M., Zhang, T., Liu, J., Xu, Z., & Liu, P. (2022) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2022.01.003 · Cited by 34
Exploring shared travel behavior of university students
Etminani-Ghasrodashti, R., Hladik, G., Kermanshachi, S., Rosenberger, J. M., Khan, M. A., & Foss, A. W. (2023) · Transportation Planning and Technology · doi:10.1080/03081060.2022.2160718 · Cited by 33
Low carbon future of vehicle sharing, automation, and electrification: A review of modeling mobility behavior and demand
Wang, J., & Yang, H. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113212 · Cited by 31
Positive, negative, ambivalent, or indifferent? Exploring the structure of public attitudes toward self-driving vehicles on public roads
Liu, P. Z. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.10.008 · Cited by 30
An investigation of perceived risk dimensions in acceptability of shared autonomous vehicles, a mediation-moderation analysis
Abbasi, M., Mamdoohi, A. R., Ciari, F., & Sierpiński, G. (2024) · Scientific Reports · doi:10.1038/s41598-024-74024-0 · Cited by 29
A User and Ridership Evaluation of Shared Autonomous Vehicles
Khan, M. A., Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2022) · Journal of Urban Planning and Development · doi:10.1061/jupddm.upeng-3945 · Cited by 28
How public interest and concerns about autonomous vehicles change over time: A study of repeated cross-sectional travel survey data of the Puget Sound Region in the Northwest United States
Xiao, J., & Goulias, K. G. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103446 · Cited by 26
How Riders Use Shared Autonomous Vehicles
Patel, R. K., Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2022) · International Conference on Automated People Movers · doi:10.1061/9780784484388.008 · Cited by 26
People with more misconceptions about automated vehicles might be more positive toward them
Liu, P., Du, M., Xu, Z., & Chu, Y. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2022.04.010 · Cited by 25
Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach
Nguyen-Phuoc, D. Q., Zhou, M., Chua, M. H., Alho, A. R., Oh, S., Seshadri, R., & Le, D.-T. (2023) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2023.103583 · Cited by 25
Synthesizing neighborhood preferences for automated vehicles
Zhang, W., Wang, K., Wang, S., Jiang, Z., Mondschein, A. S., & Noland, R. B. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102774 · Cited by 23
Self-citation
People Might Be More Willing to Use Automated Vehicles in Pandemics like COVID-19
Li, T., & Liu, P. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.1970432 · Cited by 22
Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements
Sharma, I., & Mishra, S. (2022) · Transportation · doi:10.1007/s11116-022-10304-w · Cited by 22
Interdisciplinary analysis of Robo-taxi adoption: Integrating economic, sociological, and psychological perspectives within an extended UTAUT2 framework
Zhou, M., & Yi, H. (2025) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2025.101352 · Cited by 20
Measuring students’ satisfaction levels for transit services: An application of latent class analysis
Etminani-Ghasrodashti, R., Khan, M., Patel, R. K., Kermanshachi, S., Rosenberger, J. M., Pamidimukkala, A., Hladik, G., & Foss, A. W. (2023) · International Journal of Transportation Science and Technology · doi:10.1016/j.ijtst.2023.10.004 · Cited by 19
Who will adopt private automated vehicles and automated shuttle buses? Testing the roles of past experience and performance expectancy
Sweet, M. N., Scott, D. M., & Hamiditehrani, S. (2023) · Transportation Planning and Technology · doi:10.1080/03081060.2022.2162518 · Cited by 18
An urban-rural divide? Preferences for autonomous vehicles in small and med-sized metropolitan areas
Zhong, H., Wang, K., Li, W., Burris, M. W., & Sinha, K. C. (2024) · Applied Geography · doi:10.1016/j.apgeog.2024.103324 · Cited by 16
Self-citation
Exploring attitudes and perceptions regarding a self-driving demonstration
Patel, R. K., Etminani-Ghasrodashti, R., Pamidimukkala, A., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2024) · Smart and Resilient Transport · doi:10.1108/srt-02-2024-0002 · Cited by 16
Public Interest in Autonomous Vehicle Adoption: Evidence from the 2015, 2017, and 2019 Puget Sound Travel Surveys
Acharya, S., & Humagain, P. (2022) · Journal of Transportation Engineering Part A Systems · doi:10.1061/jtepbs.0000655 · Cited by 15
Acceptance of Shared Autonomous Vehicles: A Literature Review of stated choice experiments
Lécureux, B., Bonnet, A., Manout, O., Berrada, J., & Bouzouina, L. (2023) · Transportation research procedia · doi:10.1016/j.trpro.2023.11.815 · Cited by 14
Individual and location-based characteristics associated with Autonomous Vehicle adoption in the Chicago metropolitan area: Implications for public health
Losada-Rojas, L. L., & Gkritza, K. (2021) · Journal of Transport & Health · doi:10.1016/j.jth.2021.101232 · Cited by 13
Effects of neighborhood environments on perceived risk of self-driving: evidence from the 2015 and 2017 Puget Sound Travel Surveys
Wang, K., & Akar, G. (2019) · Transportation · doi:10.1007/s11116-019-10069-9 · Cited by 13
Self-citation
The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System
Tak, S., Woo, S., Park, S., & Kim, S. (2021) · Sustainability · doi:10.3390/su13126725 · Cited by 12
Young adults’ acceptance of shared autonomous vehicles in an urban-university setting
Etminani-Ghasrodashti, R., Patel, R. K., Pamidimukkala, A., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2025) · Frontiers in Built Environment · doi:10.3389/fbuil.2025.1613232 · Cited by 10
Impacts of Shared Autonomous Vehicles (SAVs) on Individuals’ Travel Behavior: Evidence from a Pilot Project
Patel, R. K., Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2022) · International Conference on Automated People Movers · doi:10.1061/9780784484388.007 · Cited by 10
Mixed fleets of automated and human-driven vehicles in public transport systems: An evaluation of feeder line services
Sipetas, C., Roncoli, C., & Mladenović, M. N. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100791 · Cited by 10
Understanding the Changes in Public Perception toward Autonomous Vehicles over Time
Rezwana, S., Shaon, M. R. R., & Lownes, N. (2023) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784484876.032 · Cited by 8
What Drives Commuters to Pay for Autonomous Vehicles?
Rahimi, A., Azimi, G., & Jin, X. (2021) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981211058095 · Cited by 6
Evaluating Students’ Perceptions of Fully Autonomous Vehicles and Shared Mobility
Almaskati, D. N., Pamidimukkala, A., Kermanshachi, S., Rosenberger, J. M., Hladik, G., & Foss, A. W. (2025) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784486191.044 · Cited by 5
The Attitudes towards Autonomous Vehicles in a Medium-Sized Academic-Dominated U.S. Metropolitan Area With Cold Winters
Mirzazadeh, B., Huang, Y., & Motuba, D. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2074646 · Cited by 5
Usage Patterns and Perceptions of Shared Autonomous Vehicles (SAVs): Empirical Findings from a Self-Driving Service
Khan, M. A., Etminani-Ghasrodashti, R., Kermanshachi, S., Rosenberger, J. M., & Foss, A. W. (2022) · International Conference on Automated People Movers · doi:10.1061/9780784484388.009 · Cited by 5
Exploring the influence of driver’s presence on passengers’ willingness level to take autonomous taxis – Evidence from Seattle metropolitan area
Wang, J., Dunham‐Jones, E., & Akar, G. (2024) · Case Studies on Transport Policy · doi:10.1016/j.cstp.2024.101212 · Cited by 5
Self-citation
Are there differences in public interest toward automated vehicles’ ownership in burdened and non-burdened communities?
Usman, S. M., Khattak, A. J., & Patwary, A. L. (2025) · Transportation Planning and Technology · doi:10.1080/03081060.2025.2546096 · Cited by 4
Bowling alone in the autonomous vehicle: the ethics of well-being in the driverless car
Ferdman, A. (2022) · AI & Society · doi:10.1007/s00146-022-01565-1 · Cited by 3
A feasibility study on adoption of autonomous vans for relief distribution in rural India
Majumdar, S., Lenzi, L., & Srivastava, M. (2022) · Interdisciplinary Research in Technology and Management (IRTM) · doi:10.1109/irtm54583.2022.9791667 · Cited by 3
Would you trust it again? The changes in public perception during AV crashes on the timeline
Sun, H. (2025) · Travel Behaviour and Society · doi:10.1016/j.tbs.2025.101194 · Cited by 2
Understanding first responders’ familiarity and attitudes toward connected and automated vehicles (CAVs): insights from latent class analysis
Xu, N., Liu, J., Fu, X., Shi, Y., & Jones, S. L. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104727 · Cited by 2
Mode choice analysis of first-mile shared autonomous vehicles service in Bangkok, Thailand
Karoonsoontawong, A., Win, A. T., Kanitpong, K., & Siridhara, S. (2023) · Proceedings of the Institution of Civil Engineers - Transport · doi:10.1680/jtran.23.00052 · Cited by 2
Matching path optimization of carpooling mode for private cars considering real-time traffic conditions and passenger satisfaction
Peng, J., & Zhou, H. (2023) · International Conference on Transportation Information and Safety · doi:10.1109/ictis60134.2023.10243652 · Cited by 2
Male lone wolves and sociable females – Preferences for shared and AV transport services
Wårell, L., & Ek, K. (2024) · Research in Transportation Economics · doi:10.1016/j.retrec.2024.101493 · Cited by 2
Designing the city of the future: comprehensive and gender-inclusive strategies for sustainable urban mobility in the Buenos Aires Metropolitan Area
Mendiola, L., & González, P. (2025) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2025.1593562 · Cited by 1
Household vehicle transactions during and after the pandemic: a panel data analysis
Iogansen, X., Lee, Y., Malik, J., Bunch, D. S., & Circella, G. (2026) · Transportation · doi:10.1007/s11116-026-10774-2 · Cited by 1
Willingness to share self-driving on-demand transportation services with a focus on marginalised populations in the U.S.
Lee, K., & Sener, I. N. (2025) · Transportmetrica A Transport Science · doi:10.1080/23249935.2025.2576091 · Cited by 1
Private Vehicle Dependency In Pontianak City Through The Social Action Perspective
Anggraeni, D., Arkanudin, A., Sudirman, S., Herlan, H., & Listyaningrum, I. (2025) · Jurnal Sosiologi Nusantara · doi:10.33369/jsn.11.1.84-100 · Cited by 1
Challenges and opportunities in the adoption of autonomous demand responsive transit (ADRT) by adult residents of South East Queensland
Golbabaei, F. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.240348 · Cited by 1
Modeling the Adoption of Shared Autonomous Vehicles by Relying on Real Customer Experiences with Shared and Online Taxi ServicesPreprint
behrouzi, A., & Edrisi, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4836039 · Cited by 1
Investigating the Temporary and Longer-term Impacts of the COVID-19 Pandemic on Mobility in CaliforniaPreprint
Circella, G., Iogansen, X., Makino, K., Compostella, J., Young, M., & Malik, J. (2023) · RePEc: Research Papers in Economics · Cited by 1
Barriers to Reducing the Carbon Footprint of Transportation Part 2: Investigating Evolving Travel Behaviors in the Post-Pandemic Period in CaliforniaPreprint
Ozbilen, B., Gulhare, S., Makino, K., Jena, A., Iogansen, X., Loa, P., Lee, Y., Malik, J., & Circella, G. (2024) · RePEc: Research Papers in Economics · Cited by 1
Ridesharing, Active Travel Behavior, and Personal Health: Implications for Shared Autonomous Vehicles
Gkritza, K., & Losada-Rojas, L. L. (2022) · Purdue e-Pubs (Purdue University System) · doi:10.5703/1288284317570
Understanding acceptance of Autonomous Mobility Services using statistical and deep learning approaches
Bala, H. (2021) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/93204
Impact of Robo-Taxi Implementation and Service-Level Changes on Travel Accessibility and Residential Location Preferences: Insights from AichiPreprint
Wang, L., Miwa, T., Jiang, M., Wang, D., & Morikawa, T. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4798061
Investigating the Temporary and Longer-term Impacts of the COVID-19 Pandemic on Mobility in CaliforniaPreprint
Giovanni Circella, P. D. ;. X. I. G. M. K. M. J. K. M. (2024) · RePEc: Research Papers in Economics · doi:10.7922/g2zw1j90
Investigating Heterogeneity in Private Vehicle Ownership, Preferences towards Alternative Fuel Vehicles, and Adoption of Shared Mobility Options
Iogansen, X. (2024) · eScholarship (California Digital Library)
Shared Autonomous Vehicles: User Expectations and Opportunities for Design
Lee, M.-H. (2021) · Scholarworks@UNIST (Ulsan National Institute of Science and Technology)
The industry adoption of innovative safety-analysis approaches for autonomous vehicles : A case study exploring the industry adoption of model-based safety analysis
Khogasteh, S. (2023) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Mobility experiment twin for analyzing travel behavior decisions employing shared electric autonomous vehicles
Pham, S. V., Fujiwara, A., Chikaraishi, M., Le, A. S., & Xuan, N. H. (2025) · Transportation Letters · doi:10.1080/19427867.2025.2525290
Understanding traffic law enforcement perceptions of autonomous vehicles: Insights from Chinese cities with operational robotaxi fleets through hypothesis testing and machine learning
Xu, N., Zhao, D., Yu, Y., & Liu, J. (2026) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2026.104905
Autonome Shuttlebusse im öffentlichen Personennahverkehr. Eine Analyse zur Präferenz von Serviceeigenschaften potentieller Nutzer im ländlichen Raum
Schick, L. (2020) · elib (German Aerospace Center)
Tracking longitudinal changes in awareness, usage, and trust in autonomous vehicles: Evidence from large-scale, nationally representative U.S. surveys (2023–2025)
Farias, A. V., Zhu, S., & Liu, Y. (2026) · Transport Policy · doi:10.1016/j.tranpol.2026.104191
Linking trust in human drivers and autonomous vehicles: evidence from a U.S. survey of vulnerable road users
Xu, N., Liu, J., Rahman, M. M., Shi, Y., & Jones, S. L. (2026) · Transportation · doi:10.1007/s11116-026-10789-9

Authors: Wang, K., & Akar, G.
Affiliations: The Ohio State University (US)
Corresponding author: Wang, Kailai
ORCID: Wang, Kailai
Akar, Gulsah
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
DOI: 10.1177/0361198118822293
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
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

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.

Factors Affecting the Adoption of Autonomous Vehicles for Commute Trips: An Analysis with the 2015 and 2017 Puget Sound Travel Surveys

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks

Data sources