Citation

Bai L, Liu P, Guo Y, Yu H. Traffic Injury Prev. 2015; 16(4): 424-428.

Affiliation

a Jiangsu Key Laboratory of Urban ITS, Jiangsu Collaborative Innovation Center of Modern Urban Traffic Technologies , Southeast University, Si Pai Lou #2 , Nanjing , China , 210096 , Tel: +86-13813393131 , Email: xinyuesther@126.com.

Copyright

(Copyright © 2015, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2014.952724

PMID

25133656

Abstract

OBJECTIVE: The primary objective of this study was to compare the risky behaviors of e-bike, e-scooter and bicycle riders as they were crossing signalized intersections.

METHODS: Pearson's Chi-square test was used to identify if there were significant differences in the risky behaviors among e-bike, e-scooter and bicycle riders. Binary logit models were developed to evaluate how various variables affected the behaviors of two-wheeled vehicle riders at signalized intersections. Field data collection was conducted at thirteen signalized intersections in two cities (Nanjing and Kunming) in China.

RESULTS: Three different types of risky behaviors were identified, including stop beyond the stop line, riding in motorized lanes and riding against traffic. Two-wheeled vehicle riders' gender and age and traffic conditions were significantly associated with the behaviors of two-wheeled vehicle riders at the selected signalized intersections.

CONCLUSIONS: Compared to e-bike and bicycle riders, e-scooter riders are more likely to take risky behaviors. More specifically, they are more likely to ride in motorized lanes and ride against the traffic.

Language: en