Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China. (10th June 2020)

• Record Type: Journal Article
• Authors: Cai, Jing; Zhao, Jianyou; Liu, Jing; Shen, Ke; Li, Xun; Ye, Yuntao
• Other Names: Lee Jaeyoung Academic Editor.
• Is Part Of: Journal of advanced transportation. Volume 2020(2020)
• Publication Date: 2020-06-10
• Subjects: Transportation -- Periodicals; 388.05
• DOI: 10.1155/2020/8573232
• Languages: English
• ISSNs: 0197-6729

Abstract

Abstract : Electric bikes play an important role in the urban transportation system in China. Yellow-light running behavior of riders is one of the most critical factors for e-bike riders involved in traffic crashes at intersection. The main purpose of this study is to explore how a variety of factors affect e-bike riders' yellow-light running behaviors at intersection by a field observation conducted in Xi'an, China. Based on 396 e-bike riders who faced yellow-light samples, two analytical methods, the principle component analysis logistics model and a base logistics model, were employed to evaluate the impacts of contributing factors on e-bike riders' yellow-light running behavior. The modeling results showed that seven variables significantly affect the e-bike riders' yellow-light running behavior, which were the approaching speed of e-bike, the distance to stop line, riders' age and gender attributes, type of e-bike, and the characteristics of intersection including the width of intersection and the existence of physical barriers. This study can provide valuable insights into understanding e-bike riders' yellow-light running behavior and may also help decision makers propose countermeasures to reduce e-bike rider-related crashes at intersection.