Department of Civil & Environmental Engineering, National University of Singapore, 3 Engineering Drive 2, Singapore, 117576, Singapore.
Department of Civil & Environmental Engineering, National University of Singapore, 3 Engineering Drive 2, Singapore, 117576, Singapore.
Accid Anal Prev. 2019 Mar;124:104-112. doi: 10.1016/j.aap.2019.01.009. Epub 2019 Jan 10.
Single-vehicle (SV) crashes are of major concerns because of their high fatality rates. To understand the proneness of high injury severity for vehicle operators brought about by SV crashes without the confounding influence of other road users, this study focuses on those SV crashes without colliding with pedestrians, which are defined as out-of-control SV crashes given the general consequence of involved vehicles. Moreover, to compare the influence of contributory factors (including driver-vehicle/rider-vehicle, roadway, and environmental characteristics) by vehicle types, the injury severity for riders of motorized two-wheelers and drivers of other motorized vehicles are investigated separately using two disaggregated ordered probit models. The results show that for both riders and drivers, variables such as age (65 and above), drink driving, error type of failing to have proper control, driving maneuvers of left and right turns as well as driving after midnight are associated with more severe injuries whereas factors such as wet, oily or sandy surfaces are related to less severe injury. Four other variables, i.e., foreign vehicle registration, probation or expired license, high speed-limit roads, and type of median lane, have different influences on riders and drivers on injury severity. Additionally, factors such as road traffic type and nationality are only found to significantly influence only riders and drivers respectively. The results shed light on both the similar and different causes of high injury severity for riders and drivers involved in out-of-control SV crashes. Based on the findings, targeted countermeasures may be introduced from multiple perspectives such as driver education and policy development to improve non-traffic-interactive safety.
单车事故(SV)因其高死亡率而备受关注。为了在没有其他道路使用者干扰的情况下了解车辆操作人员因 SV 事故而遭受高伤害严重程度的倾向,本研究侧重于没有与行人碰撞的 SV 事故,这些事故被定义为失控的 SV 事故,因为涉及车辆的一般后果。此外,为了比较不同车型的促成因素(包括驾驶员-车辆/骑手-车辆、道路和环境特征)的影响,使用两个离散有序概率模型分别研究了机动两轮车骑手和其他机动车辆驾驶员的伤害严重程度。结果表明,对于骑手和驾驶员,年龄(65 岁及以上)、酒后驾车、未能适当控制的错误类型、左右转弯驾驶以及午夜后驾驶等变量与更严重的伤害有关,而湿、油或沙质表面等因素与较不严重的伤害有关。另外四个变量,即外国车辆登记、缓刑或过期驾照、高限速道路和中央车道类型,对骑手和驾驶员的伤害严重程度有不同的影响。此外,道路交通类型和国籍等因素仅被发现分别显著影响骑手和驾驶员。研究结果揭示了失控 SV 事故中骑手和驾驶员遭受高伤害严重程度的相似和不同原因。基于这些发现,可以从驾驶员教育和政策制定等多个角度引入有针对性的对策,以提高非交通互动安全性。