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...

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Main Authors: Paudel, Milan, Yap, Fook Fah, Tantyana Binte Mohamed Rosli, Tan, Kai Hou, Xu, Hong
Andre forfattere: School of Mechanical and Aerospace Engineering
Format: Journal Article
Sprog:English
Udgivet: 2024
Fag:
Online adgang:https://hdl.handle.net/10356/173823
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author Paudel, Milan
Yap, Fook Fah
Tantyana Binte Mohamed Rosli
Tan, Kai Hou
Xu, Hong
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
author_sort Paudel, Milan
collection NTU
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.
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spelling ntu-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
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
title 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_short 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
topic Social Sciences
E-scooters
Pedestrian injuries
url https://hdl.handle.net/10356/173823
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