College of Engineering, Civil Engineering Department University of Wasit, Kut, Iraq.
Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall, West Lafayette, IN 47907-2051, USA.
J Safety Res. 2021 Feb;76:205-217. doi: 10.1016/j.jsr.2020.12.003. Epub 2020 Dec 31.
Safety of horizontal curves on rural two-lane, two-way undivided roadways is not fully explored. This study investigates factors that impact injury severity of such crashes.
To achieve the aim of this paper, issues associated with police-reported crash data such as unobserved heterogeneity and temporal stability need to be accounted for. Hence, a mixed logit model was estimated, while heterogeneity in means and variances is investigated by considering four injury severity outcomes for drivers: severe injury, moderate injury, possible injury, and no injury. Crash data for the period between 2011 and 2016 for crashes that occurred in the state of Oregon was analyzed. Temporal stability in factors determining the injury severity was investigated by identifying three time periods through splitting crash data into 2011-2012, 2013-2014, and 2015-2016.
Despite some factors affecting injuries in all specified time periods, the values of the marginal effects showed relative differences. The estimation results revealed that some factors increased the risk of being involved in severe injury crashes, including head-on collisions, drunk drivers, failure to negotiate curves, older drivers, and exceeding the speed limits.
The hypothesis that attributes of injury severity are temporally stable is rejected. For example, young drivers (30 years old and younger) and middle-aged drivers were found to be temporally instable over time. Practical applications: The findings could help transportation authorities and safety professionals to enhance the safety of horizontal curves through appropriate and effective countermeasures.
乡村双车道双向无分隔道路的弯道安全性尚未得到充分研究。本研究旨在调查影响此类碰撞事故严重程度的因素。
为了实现本文的目标,需要考虑与警方报告的碰撞数据相关的问题,例如未观察到的异质性和时间稳定性。因此,估算了混合逻辑回归模型,同时通过考虑驾驶员的四个伤害严重程度结果(严重伤害、中度伤害、可能伤害和无伤害)来研究均值和方差的异质性。分析了 2011 年至 2016 年期间俄勒冈州发生的碰撞事故的碰撞数据。通过将碰撞数据分为 2011-2012、2013-2014 和 2015-2016 三个时间段,来研究确定伤害严重程度的因素的时间稳定性。
尽管有些因素会影响所有指定时间段的伤害,但边际效应的数值显示出相对差异。估计结果表明,一些因素增加了严重伤害事故的风险,包括正面碰撞、醉酒驾驶、曲线行驶失败、老年司机和超速行驶。
伤害严重程度属性具有时间稳定性的假设被拒绝。例如,年轻司机(30 岁及以下)和中年司机随着时间的推移表现出时间不稳定。
研究结果可以帮助交通管理部门和安全专业人员通过采取适当和有效的对策来提高弯道的安全性。