Literature DB >> 33360874

E-Scooter safety: The riding risk analysis based on mobile sensing data.

Qingyu Ma1, Hong Yang2, Alan Mayhue3, Yunlong Sun4, Zhitong Huang5, Yifang Ma6.   

Abstract

The emergence of shared electric scooter (E-Scooter) systems offers a new micro-mobility mode in many urban areas worldwide. These systems have rapidly attracted numerous trips on various types of facilities such as sidewalks and bike lanes. After their burst of popularity, there are also growing safety concerns about E-Scooter riding. Consequently, a few cities have banned or temporarily suspended E-Scooters as severe crashes occurred. As an emerging micro-mobility mode, its safety performance is significantly understudied as compared to other travel modes such as cars and bicycles. The lack of crash records further prevents it from understanding the underlying mechanisms that drive the occurrences of E-Scooter crashes. The overarching goal of this paper is to probe the safety risk when riding E-Scooters. Specifically, it aims to study the interactions between e-scooter riding and the environment settings through naturalistic riding experiments. Rather than focusing on the analysis of individual riders' heterogeneous behavior (e.g., swinging, hard braking, etc.) and rider characteristics (e.g., age, gender, etc.), the naturalistic riding study examines the riding process in different riding circumstances. A mobile sensing system has been developed to collect data for quantifying the surrogate safety metrics in terms of experienced vibrations, speed changes, and proximity to surrounding objects. The results from naturalistic riding experiments show that E-Scooters can experience notable impacts from different riding facilities. Specifically, compared to bicycle riding, more severe vibration events were associated with E-Scooter riding, regardless of the pavement types. Riding on concrete pavements was found to experience a multiple times higher frequency of vibration events when compared to riding on asphalt pavements of the same length. Riding on both sidewalks and vehicle lanes can both encounter high-frequency close contacts in terms of proximity with other objects. These experimental results suggest that E-Scooters are subject to increased safety challenges due to the increased vibrations, speed variations, and constrained riding environments.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  E-Scooter safety; Electric scooters; Micro-mobility; Mobile sensing; Naturalistic riding; Riding risk

Mesh:

Year:  2020        PMID: 33360874     DOI: 10.1016/j.aap.2020.105954

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


  6 in total

1.  New Micromobility Means of Transport: An Analysis of E-Scooter Users' Behaviour in Trondheim.

Authors:  Margherita Pazzini; Leonardo Cameli; Claudio Lantieri; Valeria Vignali; Giulio Dondi; Thomas Jonsson
Journal:  Int J Environ Res Public Health       Date:  2022-06-16       Impact factor: 4.614

2.  Micromobility Users' Behaviour and Perceived Risk during Meeting Manoeuvres.

Authors:  Alejandra Sofía Fonseca-Cabrera; David Llopis-Castelló; Ana María Pérez-Zuriaga; Carlos Alonso-Troyano; Alfredo García
Journal:  Int J Environ Res Public Health       Date:  2021-11-26       Impact factor: 3.390

3.  Characteristics and Risk Factors for Electric Scooter-Related Crashes and Injury Crashes among Scooter Riders: A Two-Phase Survey Study.

Authors:  Disi Tian; Andrew D Ryan; Curtis M Craig; Kelsey Sievert; Nichole L Morris
Journal:  Int J Environ Res Public Health       Date:  2022-08-16       Impact factor: 4.614

4.  Developing Sidewalk Inventory Data Using Street View Images.

Authors:  Bumjoon Kang; Sangwon Lee; Shengyuan Zou
Journal:  Sensors (Basel)       Date:  2021-05-10       Impact factor: 3.576

5.  Exploring Unobserved Heterogeneity in Cyclists' Occupying Motorized Vehicle Lane Behaviors at Different Bike Facility Configurations.

Authors:  Lei Zhang; Shengrui Zhang; Bei Zhou; Yan Huang; Dan Zhao; Shuaiyang Jiao
Journal:  Int J Environ Res Public Health       Date:  2022-01-11       Impact factor: 3.390

6.  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

  6 in total

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