Literature DB >> 34092312

Comparison of motor vehicle-involved e-scooter and bicycle crashes using standardized crash typology.

Nitesh R Shah1, Sameer Aryal2, Yi Wen3, Christopher R Cherry4.   

Abstract

INTRODUCTION: The market share of e-scooters in the United States has proliferated in cities: 86 million trips were made on shared e-scooters in 2019, a more than 100% increase compared to 2018. However, the interaction of e-scooters with other road users and infrastructure remains uncertain.
METHOD: This study scrutinized 52 e-scooter and 79 bicycle police-reported crashes in Nashville, Tennessee, from April 2018 to April 2020 from the Tennessee Integrated Traffic Analysis Network (TITAN) database. We used descriptive analysis and a recent prototype version of the Pedestrian and Bicycle Crash Analysis Tool (PBCAT) to classify crashes based on the locations of the crashes relative to roadway segments or intersections, as well as the maneuver of the motor vehicle and e-scooter/bicycle relative to the motor vehicle.
RESULTS: Two crash typologies can explain the majority of e-scooter crashes, while bicycle crashes are distributed over several crash typologies. Additionally, 1 in 10 e-scooter- and bicycle-motor vehicle crashes leads to the injury or fatality of the e-scooter rider or bicyclist. Furthermore, we noted statistically significant differences in spatial and temporal distribution, demographics, lighting conditions, and crash distance from home for e-scooter and bicycle crashes.
CONCLUSIONS: The police crash report provides a comprehensive picture of e-scooter safety complementing existing literature. We found that e-scooter crash characteristics do not fully overlap with features of bicycle crashes. PRACTICAL IMPLICATIONS: A generalized engineering, education, and enforcement treatment to reduce and prevent e-scooter and bicycle crashes, injuries, and fatalities might not result in equal outcomes for each mode. More rigorous enforcement could be implemented to deter e-scooters riders under the age of 18 years and e-scooter safety campaigns could target female riders.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Bicycle; Micromobility; PBCAT crash typology; Safety; e-scooter

Mesh:

Year:  2021        PMID: 34092312     DOI: 10.1016/j.jsr.2021.03.005

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  5 in total

1.  Demographics of road injuries and micromobility injuries among China, India, Japan, and the United States population: evidence from an age-period-cohort analysis.

Authors:  Yudi Zhao; Jinhong Cao; Yudiyang Ma; Sumaira Mubarik; Jianjun Bai; Donghui Yang; Kai Wang; Chuanhua Yu
Journal:  BMC Public Health       Date:  2022-04-14       Impact factor: 4.135

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.  Characteristics and comparison between e-scooters and bicycle-related trauma: a multicentre cross-sectional analysis of data from a road collision registry.

Authors:  Axel Benhamed; Amaury Gossiome; Amina Ndiaye; Karim Tazarourte
Journal:  BMC Emerg Med       Date:  2022-09-29

5.  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

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.