{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T18:46:30Z","timestamp":1788633990204,"version":"build-2803163510"},"reference-count":47,"publisher":"Korean Society of Epidemiology","license":[{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005790","name":"Thammasat University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005790","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["e-epih.org"],"crossmark-restriction":true},"short-container-title":["Epidemiol Health"],"abstract":"<jats:p>OBJECTIVES: Food delivery riders (FDRs) play a crucial role in the food delivery industry but face considerable challenges, including a rising number of traffic accidents. This study aimed to examine the incidence of traffic accidents and develop a decision tree model to predict the likelihood of traffic accidents among FDRs.METHODS: A cross-sectional study was conducted with 257 FDRs in Chiang Mai and Lampang Province, Thailand. Participants were interviewed using questionnaires and provided self-reports of accidents over the previous 6 months. Univariable logistic regression was used to identify factors influencing traffic accidents. Subsequently, a decision tree model was developed to predict traffic accidents using a training and validation dataset split in a 70:30 ratio.RESULTS: The results indicated that 45.1% of FDRs had been involved in a traffic accident. The decision tree model identified several significant predictors of traffic accidents, including delivering food in the rain, job stress, fatigue, inadequate sleep, and the use of a modified motorcycle, achieving a prediction accuracy of 66.5%.CONCLUSIONS: Based on this model, we recommend several measures to minimize accidents among FDRs: ensuring adequate sleep, implementing work-rest schedules to mitigate fatigue, managing job-related stress effectively, inspecting motorcycle conditions before use, and exercising increased caution when delivering food during rainy conditions.<\/jats:p>","DOI":"10.4178\/epih.e2024095","type":"journal-article","created":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T02:44:28Z","timestamp":1732848268000},"page":"e2024095","update-policy":"https:\/\/doi.org\/10.4178\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A decision tree model for traffic accident prediction among food delivery riders in 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