School of Population Health, UNSW, Sydney, New South Wales, Australia
Injury Division, The George Institute for Global Health, Newtown, New South Wales, Australia.
Inj Prev. 2022 Oct;28(5):396-404. doi: 10.1136/injuryprev-2021-044482. Epub 2022 Mar 31.
Penalties are a key component to improve road user safety, but previous studies suggested that they might not be successful in reducing crashing in offending drivers. However, these studies were not able to consider important crash risk factors in the analysis that might confound the results. Using data from a large prospective cohort study of young drivers in New South Wales, Australia, we explored if novice drivers with driving offences have a higher rates of car crash and if these differences are explained by established crash risk factors.
We used data from a 2003/2004 Australian survey of young drivers, linked to police reported offence and crash data, hospital data and deaths data up to 2016. We used Poisson regression models adjusted for confounders to estimate the association between driving offences during 2003-2006 with car crash during 2007-2016.
The study cohort comprised 20 781 young drivers of whom 7860 drivers (37.8%) had at least one driving offence and 2487 (12.0%) were involved in at least one crash. After adjusting for confounders in the regression model, drivers with three or more driving offences had 2.25 (95% CI 1.98 to 2.57), 2.87 (95% CI 1.60 to 5.17) and 3.28 (95% CI 2.28 to 4.72) times higher rates of any crash, crashes that resulted in hospital admission or death and single vehicle crashes compared with drivers with no driving offences.
Measures that successfully mitigate the underlying risk factors for both, crashes and offences, have the potential to improve road safety.
罚款是提高道路使用者安全的一个关键组成部分,但以前的研究表明,它们在减少违规驾驶员的撞车事故方面可能并不成功。然而,这些研究在分析中无法考虑到可能使结果复杂化的重要撞车风险因素。利用来自澳大利亚新南威尔士州一项针对年轻驾驶员的大型前瞻性队列研究的数据,我们探讨了有驾驶违规行为的新手驾驶员是否有更高的撞车率,如果这些差异可以用既定的撞车风险因素来解释。
我们使用了 2003/2004 年澳大利亚一项针对年轻驾驶员的调查数据,这些数据与警方报告的违规行为和撞车数据、医院数据以及截至 2016 年的死亡数据相关联。我们使用泊松回归模型,根据混杂因素进行调整,以估计 2003-2006 年期间的驾驶违规行为与 2007-2016 年期间的汽车撞车之间的关联。
研究队列包括 20781 名年轻驾驶员,其中 7860 名驾驶员(37.8%)有至少一次驾驶违规行为,2487 名驾驶员(12.0%)至少发生过一次撞车事故。在回归模型中调整混杂因素后,有 3 次或以上驾驶违规行为的驾驶员发生任何撞车事故、导致住院或死亡的撞车事故以及单车撞车事故的风险比无驾驶违规行为的驾驶员分别高 2.25 倍(95%CI 1.98 至 2.57)、2.87 倍(95%CI 1.60 至 5.17)和 3.28 倍(95%CI 2.28 至 4.72)。
成功减轻撞车事故和违规行为两者潜在风险因素的措施有可能改善道路安全。