Literature DB >> 26656151

Are electric self-balancing scooters safe in vehicle crash accidents?

Jun Xu1, Shi Shang2, Guizhen Yu3, Hongsheng Qi4, Yunpeng Wang5, Shucai Xu6.   

Abstract

With the pressing demand of environmentally friendly personal transportation vehicles, mobility scooters become more and more popular for the short-distance transportation. Similar to pedestrians and bicyclists, scooter riders are vulnerable road users and are expected to receive severe injuries during traffic accidents. In this research, a MADYMO model of vehicle-scooter crash scenarios is numerically set up. The model of the vehicle with the scenario is validated in pedestrian-vehicle accident investigation with previous literatures in terms of throwing distance and HIC15 value. HIC15 values gained at systematic parametric studies. Injury information from various vehicle crashing speeds (i.e. from 10m/s to 24m/s), angles (i.e. from 0 to 360°), scooter's speeds (i.e. from 0m/s to 4m/s), contact positions (i.e. left, middle and right bumper positions) are extracted, analyzed and then compared with those from widely studied pedestrian-vehicle and bicycle-vehicle accidents. Results show that the ESS provides better impact protection for the riders. Riding ESS would not increase the risk higher than walking at the same impact conditions in terms of head injury. The responsible reasons should be the smaller friction coefficient between the wheel-road than the heel-road interactions, different body gestures leading to different contact positions, forces and timing. Results may shed lights upon the future research of mobility scooter safety analysis and also the safety design guidance for the scooters.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Head injuries; Numerical simulation; Self-balancing scooter; Traffic accidents; Vulnerable road users

Mesh:

Year:  2015        PMID: 26656151     DOI: 10.1016/j.aap.2015.10.022

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  7 in total

1.  Methods for fusing uncertain results obtained from different models in accident reconstruction.

Authors:  Tiefang Zou; Fenglin He
Journal:  Forensic Sci Res       Date:  2020-01-27

2.  The Orthopedic Injury Burden of Personal Mobility Devices in Singapore - Our Experience in the East Coast.

Authors:  Ke Xin Magneline Ang; Sbm Darshana Chandrakumara; Charles Kon Kam King; Sir Young James Loh
Journal:  J Clin Orthop Trauma       Date:  2020-08-24

3.  Patterns of orthopaedic injury among hospitalised personal mobility device users and bicycle riders: a comparative study.

Authors:  Don Thong Siang Koh; Yew Lok Woo; Ting Hway Wong; Mann Hong Tan
Journal:  Singapore Med J       Date:  2022-08       Impact factor: 3.331

4.  Financial impact of electric scooters: a review of injuries over 27 months at an urban level 1 trauma center (cost of e-scooter injuries at an urban level 1 trauma center).

Authors:  Ophelie Lavoie-Gagne; Matthew Siow; William E Harkin; Alec R Flores; Carey S Politzer; Brendon C Mitchell; Paul J Girard; Alexandra K Schwartz; William T Kent
Journal:  Trauma Surg Acute Care Open       Date:  2021-01-22

5.  Numerical Investigation on Head and Brain Injuries Caused by Windshield Impact on Riders Using Electric Self-Balancing Scooters.

Authors:  Shi Shang; Yanting Zheng; Ming Shen; Xianfeng Yang; Jun Xu
Journal:  Appl Bionics Biomech       Date:  2018-03-25       Impact factor: 1.781

6.  An Investigation of Dynamic Responses and Head Injuries of Standing Subway Passengers during Collisions.

Authors:  Yong Peng; Tuo Xu; Lin Hou; Chaojie Fan; Wei Zhou
Journal:  Appl Bionics Biomech       Date:  2018-09-02       Impact factor: 1.781

7.  Analysis of electric scooter user kinematics after a crash against SUV.

Authors:  Mariusz Ptak; Fábio A O Fernandes; Mateusz Dymek; Christopher Welter; Kacper Brodziński; Leszek Chybowski
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  7 in total

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