A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections. (January 2015)

• Record Type: Journal Article
• Authors: Yang, Xiaobao; Huan, Mei; Abdel-Aty, Mohamed; Peng, Yichuan; Gao, Ziyou
• Is Part Of: Accident analysis and prevention. Volume 74(2015)
• Page Start: 33
• Page End: 41
• Publication Date: 2015-01
• Subjects: Cyclist -- Electric bike -- Red-light running -- Waiting time -- Hazard-based duration model -- Intersection; Accidents -- Prevention -- Periodicals; Accident Prevention -- Periodicals; Accidents -- Prévention -- Périodiques; 363.106
• DOI: 10.1016/j.aap.2014.10.014
• Languages: English
• ISSNs: 0001-4575

Abstract

Highlights: Hazard-based duration models are proposed to investigate riders' waiting times, violation hazards and associated risk factors. Most riders are prone to terminate waiting duration and run against the red light over the waiting time elapsed. Rider type, gender, waiting position, conformity tendency and traffic volume have significant effects on waiting times and violation hazards. E-bikers are more sensitive to the external risk factors such as other riders' crossing behavior and crossing traffic volume than cyclists. The finding of this paper can explain when and why cyclists and e-bikers run against the red light at intersections. Abstract: This paper presents a hazard-based duration approach to investigate riders' waiting times, violation hazards, associated risk factors, and their differences between cyclists and electric bike riders at signalized intersections. A total of 2322 two-wheeled riders approaching the intersections during red light periods were observed in Beijing, China. The data were classified into censored and uncensored data to distinguish between safe crossing and red-light running behavior. The results indicated that the red-light crossing behavior of most riders was dependent on waiting time. They were inclined to terminate waiting behavior and run against the traffic light with the increase of waiting duration. Over half of the observed riders cannot endure 49 s or longer. 25% of the riders can endure 97 s or longer. Rider type, gender, waiting position, conformity tendency and crossing traffic volume were identified to have significant effects on riders' waiting times and violation hazards. Electric bike riders were found to be more sensitive to the external risk factors such as other riders' crossing behavior and crossing traffic volume than cyclists. Moreover, unobserved heterogeneity was examined in the proposed models. The finding of this paper can explain when and why cyclists and electric bike riders run against the red light at intersections. The results of this paper are useful for traffic design and management agencies to implement strategies to enhance the safety of riders.