Evidence map›Paper›PMID 40671862›Full record

ArticleNpj sustainable mobility and transport2025

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

Lucy Downey, Anshamol Rahim, Achille Fonzone, Grigorios Fountas

Abstract read
In one paragraph

Article in Npj sustainable mobility and transport, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lucy DowneyTransport Research Institute, School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, UK.
Anshamol RahimTransport Research Institute, School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, UK.
Achille FonzoneTransport Research Institute, School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, UK.
Grigorios FountasDepartment of Transportation and Hydraulic Engineering, School of Rural and Surveying Engineering, Aristotle, University of Thessaloniki, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

GeographyPsychologyScience, technology and societySocial policySocial sciences

Identifiers

PMID40671862
PMCPMC12259466

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.