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Using medico-legal data to investigate fatal older road user crash circumstances and risk factors

机译:使用Medico法律数据来调查致命的旧道路用户崩溃情况和风险因素

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Objective: This study used medico-legal data to investigate fatal older road user (ORU, aged 65years and older) crash circumstances and risk factors relating to 4 key components of the Safe System approach (e.g., roads and roadsides, vehicles, road users, and speeds) to identify areas of priority for targeted prevention activity.Method: The Coroners' Court of Victoria's (CCOV) Surveillance Database was searched to identify and describe the frequency and rate per 100,000 population of fatal ORU crashes in the Australian state of Victoria for 2013-2014. Information relating to the deceased ORU, crash characteristics and circumstances, and risk factors was extracted and analyzed.Results: One hundred and thirty-eight unintentional fatal ORU crashes were identified in the CCOV Surveillance Database. Of these fatal ORU crashes, most involved older drivers (44%), followed by older pedestrians (32%), older passengers (17%), older pedal cyclists (4%), older motorcyclists (1%), and older mobility scooter users (1%). The average annual rate of fatal ORU crashes per 100,000 population was 8.1 (95% confidence interval [CI], 6.0-10.2). In terms of the crash characteristics and circumstances, most fatal ORU crashes involved a counterpart (98%), of which the majority were passenger cars (50%) or fixed/stationary objects (25%), including trees (46%) or embankments (23%). In addition, most fatal ORU crashes occurred close to home (73%), on-road (87%), on roads that were paved (94%), on roads with light traffic volume (37%), and during low-risk conditions: between 12 p.m. and 6 p.m. (44%), on weekdays (80%), during daylight (75%), and under dry/clear conditions (81%). Road user (RU) error was identified by the police and/or the coroner for the majority of fatal crashes (55%), with a significant proportion of deceased ORUs deemed to have failed to yield (54%) or misjudged (41%).Conclusions: RU error was the most significant factor identified in fatal ORU crashes, which suggests that there is a limited capacity of the road system to fully accommodate RU errors. Initiatives related to safer roads and roadsides, vehicles, speed zones, as well as behavioral approaches are key areas of priority for targeted activity to prevent fatal ORU crashes in the future.
机译:目的:这项研究使用了Medico-Leature数据来调查致命的旧路用户(ORU,年龄65年和较旧的)崩溃情况和有关安全系统方法的4个关键部件的风险因素(例如,道路和道路,车辆,道路使用者,和速度)确定有针对性预防活动的优先事项。 2013-2014。提取和分析了与已故ORU,崩溃特征和情况以及危险因素有关的信息。结果:CCOV监控数据库中确定了一百和三十八个无意的致命oru崩溃。在这些致命的ORU崩溃中,大多数涉及较旧的司机(44%),其次是较旧的行人(32%),旧乘客(17%),较旧的踏板骑自行车者(4%),较旧的摩托车手(1%)和旧的移动性踏板车用户(1%)。每10万人的致命ORU坠毁的年均速度为8.1(95%置信区间[CI],6.0-10.2)。就崩溃的特点和情况而言,大多数致命的ORU崩溃涉及对手(98%),其中大多数是乘用车(50%)或固定/固定物体(25%),包括树木(46%)或堤防(23%)。此外,大多数致命的ORU崩溃发生在家庭(73%),路上(87%),铺设(94%)的道路上,在具有轻微交通量(37%)和低风险期间的道路上条件:下午12点之间和下午6点(44%),平日(80%),白天(75%),干燥/明确条件下(81%)。警察和/或验尸官识别道路用户(RU)错误,为大多数致命崩溃(55%),有很大一部分死亡的orus被认为未能收益(54%)或误判(41%) .Conclusions:ru错误是致命oru崩溃中确定的最重要因素,这表明道路系统能够充分容纳ru错误的有限容量。与更安全的道路和道路和道路和道路,车辆,速度区以及行为方法有关的举措是有针对性活动的关键优先考虑,以防止未来致命的欧洲崩溃崩溃。

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