Literature DB >> 26093098

Risky riding: Naturalistic methods comparing safety behavior from conventional bicycle riders and electric bike riders.

Brian Casey Langford1, Jiaoli Chen2, Christopher R Cherry3.   

Abstract

As electric bicycles (e-bikes) have emerged as a new transportation mode, their role in transportation systems and their impact on users have become important issues for policy makers and engineers. Little safety-related research has been conducted in North America or Europe because of their relatively small numbers. This work describes the results of a naturalistic GPS-based safety study between regular bicycle (i.e., standard bicycle) and e-bike riders in the context of a unique bikesharing system that allows comparisons between instrumented bike technologies. We focus on rider safety behavior under four situations: (1) riding in the correct direction on directional roadway segments, (2) speed on on-road and shared use paths, (3) stopping behavior at stop-controlled intersections, and (4) stopping behavior at signalized intersections. We find that, with few exceptions, riders of e-bike behave very similarly to riders of bicycles. Violation rates were very high for both vehicles. Riders of regular bicycles and e-bikes both ride wrong-way on 45% and 44% of segments, respectively. We find that average on-road speeds of e-bike riders (13.3kph) were higher than regular bicyclists (10.4kph) but shared use path (greenway) speeds of e-bike riders (11.0kph) were lower than regular bicyclists (12.6kph); both significantly different at >95% confidence. At stop control intersections, both bicycle and e-bike riders violate the stop signs at the similar rate with bicycles violating stop signs at a slightly higher rate at low speed thresholds (∼80% violations at 6kph, 40% violations at 11kph). Bicycles and e-bikes violate traffic signals at similar rates (70% violation rate). These findings suggest that, among the same population of users, e-bike riders exhibit nearly identical safety behavior as regular bike riders and should be regulated in similar ways. Users of both technologies have very high violation rates of traffic control devices and interventions should occur to improve compliance.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Bicycle; Bikeshare; Electric bike; GPS; Naturalistic; Traffic control device compliance

Mesh:

Year:  2015        PMID: 26093098     DOI: 10.1016/j.aap.2015.05.016

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


  7 in total

1.  E-bike-related cranial injuries in pediatric population.

Authors:  Yevgeny Karepov; Danil A Kozyrev; Moni Benifla; Vladimir Shapira; Shlomi Constantini; Jonathan Roth
Journal:  Childs Nerv Syst       Date:  2019-04-15       Impact factor: 1.475

2.  A population-based case-control study of hospitalisation due to head injuries among bicyclists and motorcyclists in Taiwan.

Authors:  Chih-Wei Pai; Yi-Chu Chen; Hsiao-Yu Lin; Ping-Ling Chen
Journal:  BMJ Open       Date:  2017-11-08       Impact factor: 2.692

Review 3.  Revealed Preference Methods for Studying Bicycle Route Choice-A Systematic Review.

Authors:  Ray Pritchard
Journal:  Int J Environ Res Public Health       Date:  2018-03-07       Impact factor: 3.390

4.  Physical activity when riding an electric assisted bicycle.

Authors:  Sveinung Berntsen; Lena Malnes; Aleksander Langåker; Elling Bere
Journal:  Int J Behav Nutr Phys Act       Date:  2017-04-26       Impact factor: 6.457

Review 5.  Risk Riding Behaviors of Urban E-Bikes: A Literature Review.

Authors:  Changxi Ma; Dong Yang; Jibiao Zhou; Zhongxiang Feng; Quan Yuan
Journal:  Int J Environ Res Public Health       Date:  2019-06-28       Impact factor: 3.390

6.  Risk Factors for Road-Traffic Injuries Associated with E-Bike: Case-Control and Case-Crossover Study.

Authors:  Zhaohao Zhong; Zeting Lin; Liping Li; Xinjia Wang
Journal:  Int J Environ Res Public Health       Date:  2022-04-24       Impact factor: 3.390

7.  Exploring Factors Impacting on the Lane Choice of Riders of Non-Motorized Vehicles at Exit Legs of Signalized At-Grade Intersections.

Authors:  Guoqiang Zhang; Qiqi Zhou; Jun Chen
Journal:  Int J Environ Res Public Health       Date:  2021-06-11       Impact factor: 3.390

  7 in total

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