Crundall, D ORCID: https://orcid.org/0000-0002-6030-3631 and Van Loon, E ORCID: https://orcid.org/0000-0002-6986-2923, 2024. Data for post-licensure training survey for young drivers. [Dataset]
Full text not available from this repository.Abstract
This dataset contains the data collected through on online survey in February 2022 of 745 young drivers (aged 17-25) to investigate their appetite for post-licensure training. Young drivers were asked whether they would be willing to engage with a hypothetical free training course (based on a real course) and questioned about their perceived barriers and facilitators that might influence their willingness to accept this post-licensure training. Additionally, the survey investigated what type of training young drivers would be most interested in. The dataset also includes basic demographics (age, gender) and driving history (when they passed their test, how many miles they drove, how many collisions they’ve had, and how many points they’ve accrued on their licence).
Less than a third of the sample reported they would be likely to engage with training ‘at the moment’, though acceptance rates were higher when asked if they would have been likely to sign up ‘in the past’ or ‘in the future’. Proportional odds logistical regression models suggested that reasons to avoid training included the admission that they ‘would rather do something else’ with their time, and that they ‘did not need training’. Factors that would increase their engagement with training included ‘the reputation of the training company’, ‘an understanding of why the course is offered for free’, and ‘a certificate of participation’. When asked whether there was any specific training that they felt would benefit them, responses highlighted difficult driving conditions (e.g., snow, ice) and new technology (e.g., electric vehicles, Advanced Driver Assistance Systems). Recommendations are made to design post-licensure training interventions that will increase young driver engagement.
Item Type: | Research datasets and databases |
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Creators: | Crundall, D. and Van Loon, E. |
Publisher: | Nottingham Trent University |
Date: | 2024 |
Identifiers: | Number Type 10.17631/rd-2024-0011-ddat DOI 1909692 Other |
Rights: | To arrange to access a copy of this research data set, contact the Open Research Team: libopenresearch@ntu.ac.uk |
Divisions: | Schools > School of Social Sciences |
Record created by: | Laura Ward |
Date Added: | 03 Jul 2024 14:04 |
Last Modified: | 03 Jul 2024 14:24 |
URI: | https://irep.ntu.ac.uk/id/eprint/51675 |
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