Analysis of Accidental Causes among Container Trucks, Forklifts and Heavy Equipment Drivers in A Logistics Industry, Suratthani Province


  • Sutthida Thasai Faculty of Health and Sports Science, Thaksin University
  • Thitima na Songkhla Faculty of Health and Sports Science, Thaksin University
  • Sutee Inraksa Faculty of Health and Sports Science, Thaksin University


Accident, Container Trucks, Forklifts, Heavy Equipment, Fault Tree Analysis


This study is a survey research. The aim of this study is to analyze the causes of accidents among 55 container drivers, forklifts, and heavy equipment by using questionnaires and fault tree analysis (FTA) as research instruments. Descriptive statistics were used to explain frequency and percentage of root causes of accident. The result found that 1 of 3 workers has had an accident and almost half of the workers have had a near miss experience. There were severe, minor injuries and property damage. The overall safety behaviors and knowledge on driving safety were very good but they still have some safety behavior and knowledge on safety related to the accident experience of workers such as observing the irregularities of the conditions or environment regularly and machinery with protective equipment which can remove the device due to inconvenience in working or obstructing work. The study revealed the causes of accident can be classified into 3 groups including 1) operation of workers, 2) condition of the container trucks, forklift, heavy equipment and 3) environment. Therefore, the company needs to maintain work accident prevention measures in order to prevent and to control the driving safety of workers. Promoting driving safety and stimulating workers to observe abnormal things/unsafe practices before, during and after work and using the machinery tools or cars safely were consistent and crucial to reduce accidents and impact on life and properties.


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How to Cite

Thasai S, na Songkhla T, Inraksa S. Analysis of Accidental Causes among Container Trucks, Forklifts and Heavy Equipment Drivers in A Logistics Industry, Suratthani Province. Health Sci J Thai [Internet]. 2020 Dec. 22 [cited 2023 Dec. 5];2(3):48-60. Available from:



Original articles