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Investigating risk factors of traffic casualties at private highway-railroad grade crossings in the United States

机译:调查美国私人公路-铁路平交道口交通伤亡的危险因素

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Private highway-railroad grade crossings (HRGCs) are intersections of highways and railroads on roadways that are not maintained by a public authority. Since no public authority maintains private HRGCs, fatal and injury crashes at these locations are of concern. However, no study has been conducted at private HRGCs to identify the safety issues that might exist and how to alleviate them. This study identifies the significant predictors of traffic casualties (including both injuries and fatalities) at private HRGCs in the U.S. using six years of nationwide crashes from 2009 to 2014. Two levels of injury severity were considered, injury (including fatalities and injuries) and no injury. The study investigates multiple predictors, e.g., temporal crash characteristics, geometry, railroad, traffic, vehicle, and environment. The study applies both the mixed logit and binary logit models. The mixed logit model was found to outperform the binary logit model. The mixed logit model revealed that drivers who did not stop, railroad equipment that struck highway users, higher train speeds, non-presence of advance warning signs, concrete road surface type, and cloudy weather were associated with an increase in injuries and fatalities. For example, a one-mile-per-hour higher train speed increases the probability of fatality by 22%. On the contrary, male drivers, PM peak periods, and presence of warning devices at both approaches were associated with a fatality reduction. Potential strategies are recommended to alleviate injuries and fatalities at private HRGCs. (C) 2016 Elsevier Ltd. All rights reserved.
机译:私人公路铁路平交道口(HRGC)是公路上的公路和铁路的交汇处,而这些公路并非由公共机构维护。由于没有公共机构维护私人HRGC,因此在这些地点发生的致命和人身伤害事故令人关注。但是,尚未在私人HRGC上进行任何研究来确定可能存在的安全问题以及如何缓解这些问题。这项研究使用从2009年到2014年在全国范围内发生的六年车祸,确定了美国私人HRGC的交通伤亡(包括伤害和死亡)的重要预测因素。考虑了两个级别的伤害严重程度:伤害(包括死亡和伤害),没有伤害。受伤。这项研究调查了多种预测因素,例如时间碰撞特征,几何形状,铁路,交通,车辆和环境。该研究同时应用了混合logit模型和二进制logit模型。发现混合logit模型优于二进制logit模型。混合logit模型显示,不停车的驾驶员,撞击高速公路使用者的铁路设备,较高的火车速度,不存在提前警告标志,混凝土路面类型以及多云的天气与受伤和死亡人数的增加有关。例如,火车速度每小时提高一英里,则死亡的可能性增加22%。相反,两种方法中的男性驾驶员,PM高峰期和警告装置的出现均与死亡率降低相关。建议采取潜在策略减轻私人HRGC的伤害和死亡。 (C)2016 Elsevier Ltd.保留所有权利。

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