Deadly meals: The influence of personal and job factors on burnout and risky riding behaviours of food delivery motorcyclists

• Published in: Safety science Vol. 159; p. 106007
• Main Authors: Quy Nguyen-Phuoc, Duy, Ngoc Thi Nguyen, Ly, Ngoc Su, Diep, Nguyen, Minh Hieu, Oviedo-Trespalacios, Oscar
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2023
• Subjects: Burnout; Gig economy; Human factors; Riders; Risky behaviour; Road safety; Vulnerable road users; Gig economy; Burnout; Vulnerable road users; Human factors; Road safety; Riders; Risky behaviour
• ISSN: 0925-7535; 1879-1042
• DOI: 10.1016/j.ssci.2022.106007

•Research is needed to fully understand the safety-related issues food delivery riders face daily.•The JD-R model was extended with personal demands, personal resources, and perceived safety risk.•The developed model was tested using data collected from food delivery riders in Vietnam.•This research showed that organisation-level factors could be modified to prevent risky riding behaviour. Food delivery riders are overrepresented in road crashes. Arguably, the increased risk experienced by food delivery riders is linked to the working conditions offered by the “gig economy”. Research is needed to fully understand the safety-related issues this vulnerable group of road users face daily and identify opportunities for counter measures. In this investigation, we proposed a new theoretical model to explain the risky behaviour of food delivery motorcyclists based on the well-established Job Demands-Resources (JD-R) model. Following the JD-R, we considered the impact of job demands (job aspects that require sustained effort) and job resources (job aspects that help achieve work-related goals, reduce job demands and stimulate personal development) on the risky riding behaviours of food delivery motorcyclists. The JD-R model was also extended with three constructs, including personal demands, personal resources, and perceived safety risk to explore the role of individuals' within-person aspects. The developed model was tested using data collected from 554 food delivery riders in the two biggest cities in Vietnam. The results showed that job burnout, job resources, and personal demands directly impact risky riding behaviours, in which job burnout was the most significant predictor. Constructs such as job demands, personal resources, and perceived safety risk were not significant predictors of risky riding behaviours. This research shows that organisation-level factors could be modified to prevent risky riding behaviour. The gig economy industry can do much more to improve the safety of delivery riders.