TY  - JOUR
PY  - 2024//
TI  - Case study on the traffic collision patterns of E-scooter riders
JO  - Transportation research record
A1  - Das, Subasish
A1  - Hossain, Ahmed
A1  - Rahman, M. Ashifur
A1  - Sheykhfard, Abbas
A1  - Kutela, Boniphace
SP  - 575
EP  - 589
VL  - 2678
IS  - 4
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.1177/03611981231185770
ID  - ref1
ER  -