影响阿拉巴马州州际公路碰撞严重程度的因素的综合分析

IF 2.4 3区 工程技术 Q3 TRANSPORTATION Journal of Transportation Safety & Security Pub Date : 2021-07-19 DOI:10.1080/19439962.2021.1949414
E. Adanu, W. Agyemang, Riffat Islam, Steven L. Jones
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引用次数: 17

摘要

本文确定了影响州际碰撞结果严重程度的因素,以及它们如何根据碰撞的位置和方式而变化。开发了四种不同的伤害严重程度模型,以探索发生在该州农村和城市地区的单车和多车碰撞事故中碰撞因素的差异和相似之处。采用随机参数多项logit与异质性均值和方差建模方法来解释碰撞数据中未观察到的异质性。模型估计结果表明,超速驾驶、攻击性驾驶、未使用安全带和无有效驾驶执照驾驶等驾驶员行为因素对某种形式的伤害结果有显著影响。此外,还探讨了道路特征(如相对车道分离类型、碰撞类型、时间和照明条件)对碰撞结果的影响。基于碰撞方式和位置,这些因素与碰撞损伤严重程度之间的关联存在一些差异和相似之处。这些发现有望指导在州际公路上实施碰撞对策。本研究的发现进一步支持了对碰撞数据子集进行分析的证据,以揭示影响碰撞损伤严重程度的因素之间潜在的复杂关系。
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A comprehensive analysis of factors that influence interstate highway crash severity in Alabama
Abstract This paper identifies factors that influence the severity of interstate crash outcomes and how they vary depending on the location and manner of collision. Four separate injury severity models were developed to explore the differences and similarities in crash factors between single-and multi-vehicle crashes that occurred in rural and urban areas of the state. Random parameters multinomial logit with heterogeneity in means and variances modeling approach was used to account for unobserved heterogeneity in the crash data. The model estimation results show that some driver behavioral factors such as speeding, aggressive driving, failure to use seatbelt, and driving without a valid license were found to significantly contribute to some form of injury outcome. The influence of roadway features such as type of opposing lane separation, collision type, temporal and lighting conditions on crash outcomes were also explored. Some differences and similarities in the associations between these factors and crash injury severity based on the manner and location of crash were unraveled. These findings are expected to guide the implementation of crash countermeasures on interstates. The findings of this study further support the evidence for the analysis of subsets of crash data to unravel underlying complex relationships within factors that influence crash injury severity.
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来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
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