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Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses
Lucy Downey1, Anshamol Rahim1, Achille Fonzone1
1Transport Research Institute, School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, UK.
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.
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