Technical Papers
Jan 22, 2022

Public Interest in Autonomous Vehicle Adoption: Evidence from the 2015, 2017, and 2019 Puget Sound Travel Surveys

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 4

Abstract

Autonomous vehicle (AV) technology is considered to be the future of transportation and has gained much focus from academia, vehicle industries, transportation agencies, and the general public. To contribute to the existing literature, this study used three surveys carried out by the Puget Sound Regional Travel Study in 2015, 2017, and 2019 to identify the segments of the population based on AV adoption interest, the characteristics of such population segments, and the dynamics of AV adoption interest over time. Using k-means clustering, three distinct levels of AV adopters in the increasing order of adoption interest were found: (1) skeptics, (2) indifferents, and (3) enthusiasts. Multinomial logit models of the clusters identified sociodemographic, household, residential, and travel-related attributes as significant predictors of the level of AV adopters. The AV adoption interest was found to increase gradually over time despite the increase of public AV concerns. Ways to increase AV adoption interest were discussed based on the study results.

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Data Availability Statement

All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was not sponsored or funded. Thanks are given to the Puget Sound Regional Council for the provision of data. The paper also benefited from the suggestions of two anonymous reviewers.

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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 4April 2022

History

Received: Aug 4, 2021
Accepted: Dec 9, 2021
Published online: Jan 22, 2022
Published in print: Apr 1, 2022
Discussion open until: Jun 22, 2022

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Authors

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Graduate Student, Dept. of Civil and Environmental Engineering, Utah State Univ., Logan, UT 84322-4110 (corresponding author). ORCID: https://orcid.org/0000-0002-4531-9504. Email: [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Utah State Univ., Logan, UT 84322-4110. ORCID: https://orcid.org/0000-0002-5805-7275. Email: [email protected]

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