是什么导致卡车在平坦多山的高速公路上发生严重车祸?中国比较研究

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引用次数: 0

摘要

涉及重型卡车的碰撞事故的严重程度在平坦高速公路和山区高速公路之间存在差异。基于 2015 年至 2020 年在中国两条典型高速公路上发生的 1175 起卡车碰撞记录,应用异方差有序 probit 模型确定了驾驶员-车辆-道路-环境交互作用中的重要因素及其对碰撞严重性结果的边际效应。建模结果表明,一些变量(即驾驶员的超速和危险跟车行为、弯道和下坡的存在、恶劣天气等)对卡车在平坦和多山高速公路上的碰撞具有显著的预测作用。与此相反,一些变量只与卡车在平坦高速公路(升级路段)或山区高速公路(涉及多辆车、卡车超载状态、夜间时段)上的碰撞事故有显著相关性。综合上述研究结果,我们认为这些研究结果对于制定交通规则和实施技术解决方案以确保重型卡车在高速公路上享有更安全的交通环境具有重要的参考价值。
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What causes severe truck crashes on the flat and mountainous expressways? A comparative study in China
The severity of collisions involving heavy trucks exhibits a difference between the flat and mountainous expressways. Based on 1,175 records of truck crashes from 2015 to 2020 on two typical expressways in China, a heteroskedastic ordered probit model was applied to determine the significant factors among driver-vehicle-roadway-environment interactions and their marginal effects on the collision severity outcomes. The modeling results demonstrated that some variables (i.e. speeding and risky following behaviors of drivers, existence of curves and downgrades, adverse weather, etc.) are significant predictors of truck crashes on both flat and mountainous expressways. In contrast, some variables were significantly correlated with truck crashes on only the flat expressway (upgrade section) or the mountainous expressway (involvement of multiple vehicles, truck’s overloading status, nighttime period). The findings, taken collectively, may be valuable as a reference for drafting traffic rules and implementing technical solutions to ensure a safer traffic environment for heavy trucks on expressways.
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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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