不同因果情景下摩托车碰撞严重程度相关因素的比较研究

IF 2.4 3区 工程技术 Q3 TRANSPORTATION
E. Adanu, A. Lidbe, Jun Liu, Steven L. Jones
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引用次数: 2

摘要

摘要本研究采用混合logit模型,在不同的碰撞方式和因果情景下,对美国阿拉巴马州摩托车碰撞严重程度的相关因素进行了研究。本研究考虑了三种碰撞机制:摩托车单车碰撞,摩托车手有过错;摩托车多车碰撞,摩托车手有过错;摩托车与另一辆车碰撞,摩托车手无过错。模型估计结果表明,无论碰撞的原因单位或方式如何,发生在农村地区的碰撞更有可能是严重的。结果还表明,摩托车手的疲劳与严重伤害有关,而驾驶员的疲劳与没有伤害结果有关。此外,我们还发现超速、酒后或吸毒后驾驶/骑行、持无效驾照驾驶/骑行等危险行为与严重伤害结果显著相关。基于分段碰撞数据开发的伤害严重程度模型有助于揭示基于碰撞机制和过错道路使用者的碰撞结果的一些异同。预计这些发现将为改善该州的摩托车安全提供数据驱动的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparative study of factors associated with motorcycle crash severities under different causal scenarios
Abstract This study was carried out to examine the factors associated with motorcycle crash severity in Alabama, under different manner of crash and causal scenarios using mixed logit modeling. Three crash mechanisms were considered in this study: single-vehicle motorcycle crash with motorcyclist at fault, multi-vehicle collision between a motorcycle and another vehicle with motorcyclist being at fault, and motorcyclist not at fault in a collision between a motorcycle and another vehicle. The model estimation results showed that crashes that happened in rural areas were more likely to be severe, irrespective of the causal unit or manner of collision. The results also show that fatigue among motorcyclists was associated with severe injury, whereas driver fatigue was linked to no injury outcome. Further, it was found that risky behaviors such as speeding, driving/riding under the influence of alcohol or drugs, driving/riding with invalid license were significantly associated with severe injury outcome. Developing the injury-severity models based on the segmented crash data has helped to reveal some similarities and differences in crash outcomes based on the crash mechanism and the at-fault road user. It is expected that these findings would provide a data-driven evidence to improve motorcycle safety in the state.
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来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
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