Behavioral pathways in bicycle-motor vehicle crashes: From contributing factors, pre-crash actions, to injury severities

被引:11
|
作者
Liu, Jun [1 ]
Jones, Steven [1 ]
Adanu, Emmanuel Kofi [2 ]
Li, Xiaobing [2 ]
机构
[1] Univ Alabama, Dept Civil Construct & Environm Engn, Tuscaloosa, AL 35487 USA
[2] Univ Alabama, Alabama Transportat Inst, Tuscaloosa, AL 35487 USA
基金
美国国家科学基金会;
关键词
Bicycle-motor vehicle crash; Behavioral pathway; Pre-crash action; Path analysis; Marginal effects; RISK-FACTORS; DETERMINANTS;
D O I
10.1016/j.jsr.2021.02.015
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Introduction: This study performed a path analysis to uncover the behavioral pathways (from contributing factors, pre-crash actions to injury severities) in bicycle-motor vehicle crashes. Method: The analysis investigated more than 7,000 bicycle-motor vehicle crashes in North Carolina between 2007 and 2014. Pre-crash actions discussed in this study are actions of cyclists and motorists prior to the event of a crash, including "bicyclist failed to yield," "motorist failed to yield," "bicyclist overtaking motorist," and "motorist overtaking bicyclist." Results: Model results show significant correlates of pre-crash actions and bicyclist injury severity. For example, young bicyclists (18 years old or younger) are 23.5% more likely to fail to yield to motor traffic prior to the event of a crash than elder bicyclists. The "bicyclist failed to yield" action is associated with increased bicyclist injury severity than other actions, as this behavior is associated with an increase of 5.88 percentage points in probability of a bicyclist being at least evidently injured. The path analysis can highlight contributing factors related to risky pre-crash actions that lead to severe injuries. For example, bicyclists traveling on regular vehicle travel lanes are found to be more likely to involve the "bicyclist failed to yield" action, which resulted in a total 44.38% (7.04% direct effect + 37.34% indirect effect) higher likelihood of evident or severe injuries. The path analysis can also identify factors (e.g., intersection) that are not directly but indirectly correlated with injury severity through pre-crash actions. Practical Applications: This study offers a methodological framework to quantify the behavioral pathways in bicycle-motor vehicle crashes. The findings are useful for cycling safety improvements from the perspective of bicyclist behavior, such as the educational program for cyclists. (c) 2021 National Safety Council and Elsevier Ltd. All rights reserved.
引用
收藏
页码:229 / 240
页数:12
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