Literature DB >> 26152610

Red-light running rates at five intersections by road user in Changsha, China: An observational study.

Fangfang Yan1, Beixi Li2, Wei Zhang3, Guoqing Hu4.   

Abstract

The red-light running rate by type of road users has not been reported in China so far. We conducted an observation study to report the violation rate in Changsha, China. Portable digital devices were used to record red-light running violations at five selected intersections. The observation was performed for three days (weekday, weekend and holiday), four time periods per day and an hour per time period (peak and off-peak hours in the morning and in the afternoon). Violation rate was calculated as number of violations divided by total number of vehicles/pedestrians×100%. We used adjusted violation rate ratio (VRR) to quantify the effects of type of day and time period based on Poisson model. Totally, 162,124 vehicles (including motor vehicles, motorcycles and bicycles) and 31,649 pedestrians were recorded. The red-light running rate was 0.14% for motor vehicle drivers, far lowering than those for motorcyclists (18.64%), bicyclists (18.74%) and pedestrians (18.54%). The rate on holiday was 1.89 times that on weekday for drivers. The rate for motorcyclists was high in off-peak hours (adjusted VRR: 1.11), but low on weekend and on holiday (adjusted VRRs: 0.80 and 0.65). The rate for bicyclists was 32% lower on weekend than on weekday. For pedestrians, the rates were high on weekend and holiday and in off-peak hours (adjusted VRR: 1.09, 1.67 and 1.30). The red-light running rate of motor vehicle drivers is far lower than those for motorcyclists, bicyclists and pedestrians. The effects of type of day and time period on violation rate vary with road users, indicating the type of day and time period should be considered when developing and implementing interventions to reduce red-light running of different road users.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Bicyclists; China; Motor vehicle drivers; Motorcyclists; Pedestrians; Red-light running violation rate

Mesh:

Year:  2015        PMID: 26152610     DOI: 10.1016/j.aap.2015.06.006

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


  5 in total

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Authors:  Peishan Ning; Huiying Zong; Li Li; Peixia Cheng; David C Schwebel; Yang Yang; Lei Yang; Youyou Wu; Min Zhao; Guoqing Hu
Journal:  Bull World Health Organ       Date:  2022-03-23       Impact factor: 9.408

2.  Common Traffic Violations of Bus Drivers in Urban China: An Observational Study.

Authors:  Qiqi Wang; Wei Zhang; Rendong Yang; Yuanxiu Huang; Lin Zhang; Peishan Ning; Xunjie Cheng; David C Schwebel; Guoqing Hu; Hongyan Yao
Journal:  PLoS One       Date:  2015-09-15       Impact factor: 3.240

3.  Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study.

Authors:  Yi-Ling He; Ruo-Tong Li; Li Li; David C Schwebel; He-Lai Huang; Qing-Yi Yin; Guo-Qing Hu
Journal:  Chin J Traumatol       Date:  2019-03-11

4.  Investigating influence factors of traffic violations at signalized intersections using data gathered from traffic enforcement camera.

Authors:  Chuanyun Fu; Hua Liu
Journal:  PLoS One       Date:  2020-03-04       Impact factor: 3.240

5.  Analysis of Traffic Crashes Caused by Motorcyclists Running Red Lights in Guangdong Province of China.

Authors:  Guangnan Zhang; Ying Tan; Qiaoting Zhong; Ruwei Hu
Journal:  Int J Environ Res Public Health       Date:  2021-01-11       Impact factor: 3.390

  5 in total

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