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<p>The impending arrival of fully autonomous vehicles (AVs) could revolutionize everyday travel and yield substantial benefits, including improved traffic safety, greater mobility, and lower emissions. Despite this potential, there is considerable uncertainty regarding the demand for AVs and how their use will impact the demand for conventional modes, such as driving, transit, and bicycling. In particular, a critical aspect that warrants investigation is the role of attitudes in AV adoption. To this end, this study uses stated-preference data collected in the Toronto area and integrates latent-variable and choice models to examine the latent attitudes that influence the decision to use private, exclusive, and pooled AVs for commuting and non-commuting trips. Model results indicate that AVs appeal more to consumers who have confidence in AV technology and favourable views towards multitasking. Individuals with these views are also more likely to have adopted other technology-enabled modes, such as ride-hailing or electric vehicles. The models also show different sets of factors and attitudes that are significant in the decision to use each type of AV. Interactions between travel time and latent attitudes capture the influence of attitudes on perceptions of travel time and reveal systematic heterogeneity in the value of travel time. Changes in choice probabilities in response to changes in AV cost indicate that AVs are more likely to substitute for driving and public transit. Policymakers can use the results of this study to help promote and regulate the adoption of AVs.</p>

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Trust and multitasking ability: an exploration of the attitudes that influence private and shared autonomous vehicle choices

  • 期刊论文

  • 发表日期：

    2026年5月4日

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  • Felita Ong,
  • Brenden Lavoie,
  • Khandker Nurul Habib

摘要

The impending arrival of fully autonomous vehicles (AVs) could revolutionize everyday travel and yield substantial benefits, including improved traffic safety, greater mobility, and lower emissions. Despite this potential, there is considerable uncertainty regarding the demand for AVs and how their use will impact the demand for conventional modes, such as driving, transit, and bicycling. In particular, a critical aspect that warrants investigation is the role of attitudes in AV adoption. To this end, this study uses stated-preference data collected in the Toronto area and integrates latent-variable and choice models to examine the latent attitudes that influence the decision to use private, exclusive, and pooled AVs for commuting and non-commuting trips. Model results indicate that AVs appeal more to consumers who have confidence in AV technology and favourable views towards multitasking. Individuals with these views are also more likely to have adopted other technology-enabled modes, such as ride-hailing or electric vehicles. The models also show different sets of factors and attitudes that are significant in the decision to use each type of AV. Interactions between travel time and latent attitudes capture the influence of attitudes on perceptions of travel time and reveal systematic heterogeneity in the value of travel time. Changes in choice probabilities in response to changes in AV cost indicate that AVs are more likely to substitute for driving and public transit. Policymakers can use the results of this study to help promote and regulate the adoption of AVs.