衡量和理解与驾照相关的违规行为与道路交通事故严重程度之间的关系

IF 2.4 3区 工程技术 Q3 TRANSPORTATION Journal of Transportation Safety & Security Pub Date : 2022-10-03 DOI:10.1080/19439962.2022.2128958
Luis Miguel Martín-delosReyes, P. Lardelli-Claret, M. Rivera-Izquierdo, E. Jiménez-Mejías, V. Martínez-Ruíz
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引用次数: 0

摘要

在以往的研究中,驾照相关违规行为与道路交通事故严重程度之间的关系几乎没有得到解决。本研究估计了每个LRI与驾驶员受伤严重程度和碰撞部分严重程度(即排除驾驶员自身受伤严重程度后的碰撞严重程度)之间的关联,该队列包括78,720名驾驶员,这些驾驶员被认为对2014年至2017年西班牙国家道路交通事故受害者登记册中的碰撞负责。通过多项逻辑回归模型获得各LRI和严重程度的校正相对风险比。年龄和性别调整后的估计显示,几乎所有LRIs的严重程度都有所增加。对安全带使用的额外调整显示,这种关联的程度有所降低,特别是在驾驶员受伤严重程度方面,这表明这些关联的一部分与驾驶员的脆弱性增加有关。对其他车辆和环境相关变量的调整显示,相关性进一步下降,但对于“从未获得许可证”和其他特定lri而言,相关性仍然显著。这些结果支持维持警察监督和法律措施的必要性,以识别这些驾驶员亚群体,将他们从道路上移除,并采取策略使他们安全返回驾驶。
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Measuring and understanding the association between license-related infractions and road crash severity
Abstract The relationship between license-related infractions (LRIs) and the severity of road crashes has been scarcely addressed in previous research. This study estimates the association between each LRI and the severity of driver injuries and the partial severity of the crash (i.e., crash severity after excluding the severity of the driver’s own injuries) in a cohort comprising 78,720 drivers who were considered responsible for crashes in the Spanish National Register for Road Traffic Accident Victims, from 2014 to 2017. Adjusted Relative Risk Ratios for each LRI and severity level were obtained through multinomial logistic regression models. Age- and sex-adjusted estimates revealed an increased severity for almost all LRIs. Additional adjustment for seat belt use showed a decrease in the magnitude of the associations, particularly regarding driver injury severity, suggesting that part of these associations was related to increased vulnerability of the driver. Adjustment for other vehicle- and environment-related variables showed a further decrease in the associations but remained significant for “never having obtained a license” and other specific LRIs. These results support the need for maintaining police surveillance and legal measures to identify these subgroups of drivers, remove them from the road and adopt strategies for their safe return to driving.
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CiteScore
6.00
自引率
15.40%
发文量
38
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