Literature DB >> 23036395

The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study.

Changxu Wu1, Lin Yao, Kan Zhang.   

Abstract

Electric bikes and regular bicycles play an important role in the urban transportation system of China. Red-light running is a type of highly dangerous behavior of two-wheeled riders. The main purpose of this study was to investigate the rate, associated factors, and behavior characteristics of two-wheelers' red-light running in China. A field observational study was conducted using two synchronized video cameras at three signalized intersections in Beijing. A total of 451 two-wheelers facing a red light (222 e-bike riders and 229 cyclists) were observed and analyzed. The results showed that 56% of the two-wheelers crossed the intersection against a red light. Age was found to be a significant variable for predicting red-light runners, with the young and middle-aged riders being more likely than the old ones to run against a red light. The logistic regression analysis also indicated that the probability of a rider running a red light was higher when she or he was alone, when there were fewer riders waiting, and when there were riders already crossing on red. Further analysis of crossing behavior revealed that the majority of red-light running occurred in the early and late stages of a red-light cycle. Two-wheelers' crossing behavior was categorized into three distinct types: law-obeying (44%), risk-taking (31%) and opportunistic (25%). Males were more likely to act in a risk-taking manner than females, and so were the young and middle-aged riders than the old ones. These findings provide valuable insights in understanding two-wheelers' red-light running behaviors, and their implications in improving road safety were discussed.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 23036395     DOI: 10.1016/j.aap.2011.06.001

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


  11 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.  Severity of urban cycling injuries and the relationship with personal, trip, route and crash characteristics: analyses using four severity metrics.

Authors:  Peter A Cripton; Hui Shen; Jeff R Brubacher; Mary Chipman; Steven M Friedman; M Anne Harris; Meghan Winters; Conor C O Reynolds; Michael D Cusimano; Shelina Babul; Kay Teschke
Journal:  BMJ Open       Date:  2015-01-05       Impact factor: 2.692

3.  Social Influence and Different Types of Red-Light Behaviors among Cyclists.

Authors:  Federico Fraboni; Víctor Marín Puchades; Marco De Angelis; Gabriele Prati; Luca Pietrantoni
Journal:  Front Psychol       Date:  2016-11-22

Review 4.  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

5.  Unsafe riding practice among electric bikers in Suzhou, China: an observational study.

Authors:  Jie Yang; Yihe Hu; Wei Du; Brent Powis; Joan Ozanne-Smith; Yilan Liao; Ning Li; Ming Wu
Journal:  BMJ Open       Date:  2014-01-15       Impact factor: 2.692

6.  E-bike injuries: experience from an urban emergency department-a retrospective study from Switzerland.

Authors:  Sylvana Papoutsi; Luca Martinolli; Christian Tasso Braun; Aristomenis K Exadaktylos
Journal:  Emerg Med Int       Date:  2014-03-20       Impact factor: 1.112

7.  Waiting endurance time estimation of electric two-wheelers at signalized intersections.

Authors:  Mei Huan; Xiao-bao Yang
Journal:  ScientificWorldJournal       Date:  2014-05-07

8.  Tibial plateau fractures in elderly people: an institutional retrospective study.

Authors:  Qi-Fang He; Hui Sun; Lin-Yuan Shu; Yu Zhan; Chun-Yan He; Yi Zhu; Bin-Bin Zhang; Cong-Feng Luo
Journal:  J Orthop Surg Res       Date:  2018-11-01       Impact factor: 2.359

9.  Unsafe Bicycling Behavior in Changsha, China: A Video-Based Observational Study.

Authors:  Yuyan Gao; David C Schwebel; Lingling Zhang; Wangxin Xiao; Guoqing Hu
Journal:  Int J Environ Res Public Health       Date:  2020-05-07       Impact factor: 3.390

10.  Understanding the Interaction between Cyclists' Traffic Violations and Enforcement Strategies: An Evolutionary Game-Theoretic Analysis.

Authors:  Tianpei Tang; Yuntao Guo; Guohui Zhang; Hua Wang; Quan Shi
Journal:  Int J Environ Res Public Health       Date:  2020-11-15       Impact factor: 3.390

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