Case Study on the Traffic Collision Patterns of E-Scooter Riders

被引:8
作者
Das, Subasish [1 ]
Hossain, Ahmed [2 ]
Rahman, M. Ashifur [3 ]
Sheykhfard, Abbas [4 ]
Kutela, Boniphace [5 ]
机构
[1] Texas State Univ, Ingram Sch Engn, San Marcos, TX 78666 USA
[2] Univ Louisiana Lafayette, Dept Civil Engn, Lafayette, LA USA
[3] Louisiana Transportat Res Ctr, Baton Rouge, LA USA
[4] Babol Noshirvani Univ Technol, Dept Civil Engn, Mazandaran, Iran
[5] Texas A&M Transportat Inst, Bryan, TX USA
关键词
e-scooter; safety; perceptual cycle model; crash; PERCEPTUAL CYCLE MODEL; DECISION-MAKING; INJURIES; SAFETY; CRASH; MIND;
D O I
10.1177/03611981231185770
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In recent years, nonmotorized transportation and micromobility have become increasingly popular in urban areas, and bike sharing and e-scooter usage are more affordable and accessible than ever before. However, users of these modes face several significant challenges, including risky riding behavior and the danger of being involved in collisions or near collisions with other motorists. Because of a lack of relevant data sets, it is difficult to comprehend the underlying causes of e-scooter collisions. This study collected narrative descriptions of 24 e-scooter collisions that occurred in Texas in 2021. The perceptual cycle model (PCM) was applied to these narrative crash reports to analyze the causation patterns of the crash occurrences. The PCM mechanism was applied independently to fatal and injury collisions, and the results were then compared with Haddon's matrix to develop policy recommendations. The novel approach proposed in this study can be widely utilized by road safety professionals to understand the causal relationships behind other key road safety issues.
引用
收藏
页码:575 / 589
页数:15
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