A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions
A rapid rise in the popularity of e-scooters has brought forth an increasing number of e-scooter-related conflicts, crashes, and injuries to pedestrians in many cities. There is a pressing need to understand the factors influencing the severity of injury to pedestrians involved in e-scooter collisio...
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173823 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-173823 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1738232024-03-02T16:47:58Z A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions Paudel, Milan Yap, Fook Fah Tantyana Binte Mohamed Rosli Tan, Kai Hou Xu, Hong School of Mechanical and Aerospace Engineering School of Social Sciences Transport Research Centre @ NTU (TRC@NTU) Social Sciences E-scooters Pedestrian injuries A rapid rise in the popularity of e-scooters has brought forth an increasing number of e-scooter-related conflicts, crashes, and injuries to pedestrians in many cities. There is a pressing need to understand the factors influencing the severity of injury to pedestrians involved in e-scooter collisions. This paper investigates the dynamics of e-scooter-pedestrian collisions and presents a new method for relating the probability of severe head injury to collision speed in e-scooter-pedestrian collisions. A total of 160 computer simulations representing different collision scenarios have been analyzed. Our results have shown that e-scooter speed is the main determinant of the severity of pedestrian head injury. E-scooter speed ranging from 10 to 15 km/h is found to be critical for pedestrian safety as the probability of severe head injury rises rapidly within this speed range. Moreover, an e-scooter-pedestrian collision is more likely to cause severe head injury to the pedestrian than a bicycle-pedestrian collision within the same speed range. It has also been found that the weight of the e-scooter and the direction of impact do not have a strong influence on the collision metrics, especially on the probability of severe head injury. The study has also investigated the post-collision fall mechanism for different pedestrian profiles and the influence of different impact angles. Finally, some recommendations have been proposed, including a speed limit of not more than 11 km/h for e-scooterist on shared paths where the likelihood of pedestrian and e-scooter conflicts is higher. The recommendations could help authorities develop legislation for safe micro-mobility. Land Transport Authority (LTA) Published version This work was supported by Land Transport Authority (LTA) Innovation Fund, Singapore (grant number: FY15/11E). 2024-02-29T02:18:23Z 2024-02-29T02:18:23Z 2023 Journal Article Paudel, M., Yap, F. F., Tantyana Binte Mohamed Rosli, Tan, K. H. & Xu, H. (2023). A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions. Transportation Research Interdisciplinary Perspectives, 22, 100972-. https://dx.doi.org/10.1016/j.trip.2023.100972 2590-1982 https://hdl.handle.net/10356/173823 10.1016/j.trip.2023.100972 2-s2.0-85177767341 22 100972 en FY15/11E Transportation Research Interdisciplinary Perspectives © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Social Sciences E-scooters Pedestrian injuries |
spellingShingle |
Social Sciences E-scooters Pedestrian injuries Paudel, Milan Yap, Fook Fah Tantyana Binte Mohamed Rosli Tan, Kai Hou Xu, Hong A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions |
description |
A rapid rise in the popularity of e-scooters has brought forth an increasing number of e-scooter-related conflicts, crashes, and injuries to pedestrians in many cities. There is a pressing need to understand the factors influencing the severity of injury to pedestrians involved in e-scooter collisions. This paper investigates the dynamics of e-scooter-pedestrian collisions and presents a new method for relating the probability of severe head injury to collision speed in e-scooter-pedestrian collisions. A total of 160 computer simulations representing different collision scenarios have been analyzed. Our results have shown that e-scooter speed is the main determinant of the severity of pedestrian head injury. E-scooter speed ranging from 10 to 15 km/h is found to be critical for pedestrian safety as the probability of severe head injury rises rapidly within this speed range. Moreover, an e-scooter-pedestrian collision is more likely to cause severe head injury to the pedestrian than a bicycle-pedestrian collision within the same speed range. It has also been found that the weight of the e-scooter and the direction of impact do not have a strong influence on the collision metrics, especially on the probability of severe head injury. The study has also investigated the post-collision fall mechanism for different pedestrian profiles and the influence of different impact angles. Finally, some recommendations have been proposed, including a speed limit of not more than 11 km/h for e-scooterist on shared paths where the likelihood of pedestrian and e-scooter conflicts is higher. The recommendations could help authorities develop legislation for safe micro-mobility. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Paudel, Milan Yap, Fook Fah Tantyana Binte Mohamed Rosli Tan, Kai Hou Xu, Hong |
format |
Article |
author |
Paudel, Milan Yap, Fook Fah Tantyana Binte Mohamed Rosli Tan, Kai Hou Xu, Hong |
author_sort |
Paudel, Milan |
title |
A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions |
title_short |
A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions |
title_full |
A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions |
title_fullStr |
A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions |
title_full_unstemmed |
A computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions |
title_sort |
computational investigation of the dynamic factors governing severity of head injury to pedestrians involved in e-scooter collisions |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/173823 |
_version_ |
1794549337397657600 |