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Self-reported anger among ordinary and delivery electric bike riders in China: A comparison based on the cycling anger scale

Lookup NU author(s): Professor Phil BlytheORCiD, Dr Shuo LiORCiD


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As vulnerable traffic participants, electric bike (EB) riders have suffered from high collision casualties in recent years. Road user anger has been shown to affect riding behavior and lead to traffic accidents. Besides, studies have highlighted that there may be differences in road user anger in driving different vehicles due to varying perceptions of the relative vulnerability of vehicle type characteristics (control performance and cognitive processes). However, current road user anger investigations for two-wheelers have focused mainly on conventional cyclists, and little attention has been paid to e-bike riders, especially with the emerging group of delivery e-bike (DEB) riders. This study aims to develop a Cycling Anger Scale (CAS) for EB riders based on the Cycling Anger Scale and explore the road user anger experienced by EB riders and the differences between ordinary and delivery EB riders. The survey was conducted in Nanjing, China, and collected from 281 Ordinary EB (OEB) riders and 268 DEB riders. Exploratory factor analysis and confirmatory factor analysis are conducted to determine the revised four-factor structure of the 14-item CAS for EB. The results show that the scores of police interaction and cyclist interaction on the CAS subscales are significantly different between the OEB and DEB groups. The police interaction is the largest source of anger for both groups. Besides, the aggressive riding behaviors are significantly correlated with riding anger, which can be predicted by different aspects of riding anger for the two types of EB riders. This study provides a theoretical basis for designing intervention measures and safety education programs to enhance EB riders’ road safety.

Publication metadata

Author(s): Zhang F, Ji Y, Lv H, Blythe P, Li S, Samal D

Publication type: Article

Publication status: Published

Journal: Transportation Research Part F: Traffic Psychology and Behaviour

Year: 2022

Volume: 89

Pages: 155-167

Print publication date: 01/08/2022

Online publication date: 20/06/2022

Acceptance date: 02/06/2022

ISSN (electronic): 1369-8478

Publisher: Elsevier


DOI: 10.1016/j.trf.2022.06.002


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