Karami, A., Karami, H. and Mehdizadeh, M. orcid.org/0000-0001-6531-5941 (2023) A world of fully autonomous mobility options: On long-distance travel mode choice. Technological Forecasting and Social Change, 194. 122702. ISSN: 0040-1625
Abstract
What might long-distance travel behaviour look like in a world of fully autonomous mobility options? Within this context, which of the transportation options, including autonomous cars, pilotless planes, driverless trains, and driverless buses would people choose for their long-distance travel? We examine the extent to which people's attitudes towards fully autonomous mobility options, habits, and the level of satisfaction with current travel modes, as well as individual and socioeconomic variables, influence the choice/preference for fully autonomous modes. Data for this study were collected through an online survey (n = 811). A choice model was used to analyse the effects of attitudinal factors and other variables on the probability of choosing four fully autonomous alternatives. The results of the model show that (1) the preferred order of autonomous mobility options is: Autonomous Car (AC), Autonomous Train (AT), Autonomous Flight (AF), and Autonomous Bus (AB), (2) AT was evaluated the safest, most relaxing, and most economical alternative, and (3) both attitudes and habit influence the choice of fully autonomous vehicles. However, sensitivity analyses show that attitudes will have a greater impact on travel behaviour compared to habits. Policy-wise, a demographically differentiated campaign for changing attitudes can be employed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Fully autonomous modes; Long-distance travel; Mobility transition; Travel behaviour; Technology |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Sep 2025 13:47 |
Last Modified: | 18 Sep 2025 13:47 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.techfore.2023.122702 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:231566 |
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