School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China.
Shanghai Intelligent Vehicle Fusion Innovation Center Co., Shanghai, China.
Traffic Inj Prev. 2024;25(8):1031-1038. doi: 10.1080/15389588.2024.2367504. Epub 2024 Jun 25.
Collisions are a significant cause of injury and fatality among young novice drivers. Using real crash data, this study further explores the multifaceted and complex nature of young novice drivers' crash injury risk by synthesizing different driver attributes and crash scenarios in order to update and validate previous research findings and provide more feasible recommendations for preventive measures.
Detailed data on traffic crash of young novice drivers were extracted from the National Automobile Accident In-Depth Investigation System (NAIS) in China, and a mixed research methodology using a Random Forest and multinomial logit modeling framework was used in order to explore and study the important influences on traffic crash injuries of young novice drivers in Songjiang District, Shanghai, during the period from 2018 to 2022.
The results of the study showed that human, vehicle, road and environmental characteristics contributed 36.83%, 22.65%, 17.07% and 23.45% respectively to the prediction of crash injury level of novice drivers. Among the various single factors, driver negligence was the most important factor affecting the crash injury level of novice drivers. Age of the vehicle, crash location, road signal condition and time of crash all had a significant effect on the crash injury level of young novice drivers (95% of the confidence level).
The study comprehensively analyzed young novice driver crash data to reveal the crash injury risk and its severity faced by young novice drivers in different contexts, and suggested targeted safety improvements. There are similarities and differences with the results of previous studies, in which there are new contributions to understanding the driving risks of young novice drivers in daytime and nighttime.
碰撞是年轻新手驾驶员受伤和死亡的一个重要原因。本研究利用真实的碰撞数据,通过综合不同驾驶员属性和碰撞情景,进一步探讨年轻新手驾驶员碰撞受伤风险的多方面和复杂性质,以更新和验证先前的研究结果,并为预防措施提供更可行的建议。
从中国国家汽车事故深入调查系统(NAIS)中提取了年轻新手驾驶员交通碰撞的详细数据,并使用随机森林和多项逻辑回归建模框架的混合研究方法,以探索和研究上海松江区 2018 年至 2022 年轻新手驾驶员交通碰撞受伤的重要影响因素。
研究结果表明,人、车、路和环境特征分别对新手驾驶员碰撞伤害水平的预测有 36.83%、22.65%、17.07%和 23.45%的贡献。在各种单一因素中,驾驶员疏忽是影响新手驾驶员碰撞伤害水平的最重要因素。车辆年龄、碰撞地点、道路信号条件和碰撞时间对年轻新手驾驶员的碰撞伤害水平都有显著影响(置信水平为 95%)。
本研究全面分析了年轻新手驾驶员碰撞数据,揭示了不同情境下年轻新手驾驶员的碰撞受伤风险及其严重程度,并提出了有针对性的安全改进措施。与以往研究的结果既有相似之处,也有不同之处,对理解年轻新手驾驶员在白天和夜间的驾驶风险有新的贡献。