A decision tree model for traffic accident prediction among food delivery riders in Thailand

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.

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Publication Details

Journal
Epidemiology and Health
Published
2024-11-26
DOI
https://doi.org/10.4178/epih.e2024095
Citations
5
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
1.80

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article

A decision tree model for traffic accident prediction among food delivery riders in Thailand

Surangrat Pongpan, Supa Vittaporn, Kasama Pooseesod, Ruchirada Changkwanyeun et al.
5 citations
Epidemiology and Health
Occupational Health and Safety Research
1.80
article

A decision tree model for traffic accident prediction among food delivery riders in Thailand

Surangrat Pongpan, Supa Vittaporn, Kasama Pooseesod, Ruchirada Changkwanyeun, Patcharin Khamnuan, Supang Wattanasoei, Sayambhu Saita, Muslimah Molo, Suttida Changsan, Lila Madares
article en
5 citations

Abstract

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.

Epidemiology and HealthVol. 46
Thammasat University (TH)
Thammasat University
Zero hunger
Openalex Percentile: Top 15%
Occupational Health and Safety Research
1.80
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