Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses

By adopting a more environmentally friendly driving style and promoting sustainable transportation options, automated buses (ABs) could play a role in achieving long-term sustainability goals. This study explores the factors influencing the willingness to use ABs, based on survey data from 451 bus users in Scotland. Using latent class ordered probit analysis, distinct user groups were identified based on their intentions to use unstaffed ABs, along with the key factors influencing their class membership. Concerns about driving capabilities and the implementation of technology emerged as the strongest negative predictors for urban residents without health issues. For rural residents and those with health issues, use intentions were primarily influenced by expectations of the benefits associated with ABs. These insights are valuable for bus manufacturers, service operators, and transport authorities, informing the development of policies and strategies for the future deployment of SAE level 5 ABs.

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Publication Details

Journal
npj Sustainable Mobility and Transport
Published
2025-07-14
DOI
https://doi.org/10.1038/s44333-025-00047-3
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses

Anshamol Nanethan Rahim, Grigorios Fountas, Achille Fonzone, Lucy Downey
npj Sustainable Mobility and Transport
Multi-Criteria Decision Making
article

Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses

Anshamol Nanethan Rahim, Grigorios Fountas, Achille Fonzone, Lucy Downey
article en

Abstract

By adopting a more environmentally friendly driving style and promoting sustainable transportation options, automated buses (ABs) could play a role in achieving long-term sustainability goals. This study explores the factors influencing the willingness to use ABs, based on survey data from 451 bus users in Scotland. Using latent class ordered probit analysis, distinct user groups were identified based on their intentions to use unstaffed ABs, along with the key factors influencing their class membership. Concerns about driving capabilities and the implementation of technology emerged as the strongest negative predictors for urban residents without health issues. For rural residents and those with health issues, use intentions were primarily influenced by expectations of the benefits associated with ABs. These insights are valuable for bus manufacturers, service operators, and transport authorities, informing the development of policies and strategies for the future deployment of SAE level 5 ABs.

npj Sustainable Mobility and TransportVol. 2(1)
Aristotle University of Thessaloniki (GR), Edinburgh Napier University (GB)
Innovate UK
Openalex Percentile: Top 80%
Multi-Criteria Decision Making
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Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses — Anshamol Nanethan Rahim, Grigorios Fountas, et al. · npj Sustainable Mobility and Transport (2025) | TGRS Research Map | TGRS