How Do Young Provisional Drivers Who Crash Early Compare With Those Who Only Crash Later?
-
Published:2023-08-23
Issue:3
Volume:34
Page:46-56
-
ISSN:2652-4252
-
Container-title:Journal of Road Safety
-
language:en
-
Short-container-title:JRS
Affiliation:
1. Queensland University of Technology, Centre for Accident Research and Road Safety (CARRS-Q)
Abstract
Much attention has been given to the elevated crash rates of young novice drivers when first driving unsupervised, particularly in the initial six months, but less to the question of whether those who crash during that period are in any way different from those who only crash subsequently. This question was examined in a large cohort of New South Wales novices aged under 25 years at their first licensing, which occurred in the financial year 2007/08. Only post-learner drivers were considered, and divided into three driver groups, early crashers within the first six months, late crashers whose first crash was later, and non-crashers. All factors derivable from the routine records provided were analysed including metropolitan residence and aggregate socio-economic status as determined by post-code of residence. Overall, the largest differences were between those who crashed and those who did not. Females were under-represented among both early and late crashers. Age, aggregate socio-economic status, and metropolitan residence at first licensing did not differ between early and late crashers, but late crashers had spent less time driving supervised. Early crashers had crashed and incurred traffic citations, including for serious offences, more frequently than late crashers, with more crashes judged at-fault. However, exclusion of offences occurring on the same day as a crash reduced the difference between early and late crashers. The difference between crashers and non-crashers was reduced but remained significant.
Publisher
Australasian College of Road Safety
Subject
Safety Research,Social Sciences (miscellaneous),Transportation,Safety, Risk, Reliability and Quality
Reference28 articles.
1. Australian Bureau of Statistics. (2008). Socio-economic Indexes for Areas (SEIFA), 2006. https://www.abs.gov.au/websitedbs/censushome.nsf/home/seifapast?opendocument&navpos=260 2. Australian Institute of Health and Welfare. (2004). Rural, regional and remote health: A guide to remoteness classifications. AIHW. https://www.aihw.gov.au/getmedia/9c84bb1c-3ccb-4144-a6dd-13d00ad0fa2b/rrrh-gtrc.pdf.aspx?inline=true 3. Begg, D., Brookland, R., & Connor, J. (2017). Associations of repeated high alcohol use with unsafe driving behaviors, traffic offenses, and traffic crashes among young drivers: Findings from the New Zealand Drivers Study. Traffic Injury Prevention, 18(2), 111–117. https://doi.org/10.1080/15389588.2016.1224345 4. Boufous, S., Möller, H., Patton, G., Woodward, M., Stevenson, M. R., Senserrick, T., Mclean, R., Cullen, P., Wang, A., Rogers, K., & Chen, H.-Y. (2023). Acculturation and risk of traffic crashes in young Asian-born Australian drivers. Injury Prevention, 29(1), 74–78. https://doi.org/10.1136/ip-2022-044718 5. Cooper, P. J., Pinili, M., & Chen, W. (1995). An examination of the crash involvement rates of novice drivers aged 16 to 55. Accident Analysis & Prevention, 27(1), 89–104. https://doi.org/10.1016/0001-4575(94)00052-n
|
|