Exploration of Social-Psychological Factors Leading to Distracted e-Bike Riding Among Delivery Workers in China

Author:

Wu Genhao1ORCID,Huang Chunxi1ORCID,He Dengbo23ORCID

Affiliation:

1. Robotics and Autonomous Systems, Individualized Interdisciplinary Program, The Hong Kong University of Science and Technology, Hong Kong SAR, China

2. Intelligent Transportation Thrust, Systems Hub, Robotics and Autonomous Systems Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangdong, China

3. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China

Abstract

With the fast development of the online-to-offline market, there are over 13 million delivery workers in China, of which the primary transportation tool is electric bicycles (i.e., e-bikes). Because of the difficulty in executing enforced regulations, delivery workers usually engage in non-riding-related tasks (NRRTs) while riding e-bikes, leading to distracted riding, which can threaten traffic safety. Although distraction engagement in vehicle driving and motorcycle/bicycle riding has been extensively investigated, the prevalence of and the factors leading to distracted riding among delivery workers have not yet been explored. In this study, a survey has been designed to explore the social-psychological factors leading to NRRT engagement among delivery workers. The factors were chosen based on the theory of planned behavior (TPB) framework. We have also assessed workers’ awareness of the regulation in the survey. A total of 150 delivery workers (146 males and 4 females, mean age: 27.25) participated in the study. Results show that delivery workers tended to engage more in technology-based NRRTs, and “manually operating the phone” was the most prevalent. Compared to older peers, younger workers held more positive attitudes toward engaging in NRRTs and perceived engaging in NRRTs as more prevalent among their colleagues. TPB-related factors (i.e., attitudes, descriptive norms, injunctive norms, and perceived behavior control) were found to be correlated with self-reported NRRT engagement. The awareness of the regulations, however, had limited effects in explaining NRRT engagement. This research can provide insights into the design of countermeasures aiming at reducing the prevalence of NRRT engagement among delivery workers.

Funder

Guangzhou Basic and Applied Basic Research Program

Guangzhou Municipal Science and Technology Project

Guangzhou Science and Technology Program City-University Joint Funding Project

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference56 articles.

1. China Internet Network Information Center. The 49th Statistical Report on China’s Internet Development. China Internet Network Information Center, Beijing, China, 2022. https://www.cnnic.cn/NMediaFile/old_attach/P020220721404263787858.pdf.

2. Liu, M. 13 Million Delivery Persons in China, from Part-Time to Full-Time. 2022. https://finance.sina.cn/tech/csj/2022-02-16/detail-ikyamrna1036544.d.html?fromtech=1.

3. Influence of familiarity with traffic regulations on delivery riders’ e-bike crashes and helmet use: Two mediator ordered logit models

4. China Development Brief. Beijing Social Work Development Center for Facilitators. Report of Social Needs among Delivery Persons. 2021. https://mp.weixin.qq.com/s/wOZHR864GkV_38A34j7QMg

5. Driver Distraction

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