Red Light Running Behavior of Electric Bicycles at Signalized Intersections in China

红灯 模型 运输工程 行人 显著性差异 汽车工程 工程类 数学 统计 植物 生物
作者
Yanyong Guo,Pan Liu,Lu Bai,Chengcheng Xu,Jun Chen
出处
期刊:Transportation Research Record [SAGE Publishing]
卷期号:2468 (1): 28-37 被引量:53
标识
DOI:10.3141/2468-04
摘要

A comparative analysis was conducted on the red light running behavior of the riders of scooter-style electric bicycles (e-scooters), bicycle-style electric bicycles (e-bikes), and bicycles as they crossed signalized intersections. The crossing behaviors of 5,646 riders (1,568 e-bikes, 2,612 e-scooters, and 1,466 bicycles) were observed. The average red light running rates for e-bikes, e-scooters, and bicycles at the selected sites were 24.9%, 25.0%, and 18.3%, respectively. The rates for e-bikes and e-scooters were significantly higher than those for bicycles. The difference in the rates between e-bikes and e-scooters was not statistically significant. A binary logit model was developed to evaluate how various factors affected the red light running rates of two-wheeled vehicles at signalized intersections. Results of a comparison of traffic conflicts caused by various red light running two-wheeled vehicles indicated that bicycles were slightly more likely to be involved in traffic conflicts than e-bikes or e-scooters as they crossed intersections during a red pedestrian phase. Also, e-bikes were less likely than e-scooters and bicycles to be involved in traffic conflicts in the middle stage of a red pedestrian phase. Both e-scooters and e-bikes had higher crossing speeds than bicycles. Although e-scooters traveled at speeds significantly higher than e-bikes did when crossing intersections during green phases, the difference in crossing speeds between red light running e-bikes and red light running e-scooters was not statistically significant.
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