TY  - JOUR
PY  - 2020//
TI  - Exploring factors affecting the yellow-light running behavior of electric bike riders at urban intersections in China
JO  - Journal of advanced transportation
A1  - Cai, Jing
A1  - Zhao, Jianyou
A1  - Liu, Jing
A1  - Shen, Ke
A1  - Li, Xun
A1  - Ye, Yuntao
SP  - e8573232
EP  - e8573232
VL  - 2020
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0197-6729
UR  - http://dx.doi.org/10.1155/2020/8573232
ID  - ref1
ER  -