Journal of Health and Safety at Work

Introduction: Traffic transportation system despite of benefits is one center of accident.According to studies, human factors as unsafe acts and drivers mistakes are causes of accidenta happening. The main objective of this study was to Study of unsafe behaviors among city bus drivers in Hamadan.

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Method and Materials: This cross-sectional study was conducted in spring of 2011. Fifty four drivers were chosen using simple random sampling among Hamadan city bus drivers. The required data gathered by using safety behavior sampling technique. Data analysis was done with Statistical tests such as t-test and one-way ANOVA.

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Results: The study results indicated that %42.71 of driver’s behaviors were unsafe. Double Park (%24.71), speaking (%14.99) and unsafe grasping the steering wheel (%12.46) allocated to highest percentages of unsafe behaviors. Also it was shown the rates of unsafe acts were increased in younger and low income drivers, apparently.

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Conclusion: Because of high percent of unsafe acts and considering importance of its consequences in drivers, reducing unsafe acts trough investment and utilization of behavioral safety principles is required. In this regard, holding educational careers are suggested to increasing driver’s awareness.

Introduction: According to the previous studies, about 90% of accidents in the workplace are due to the unsafe behaviors. In this study, the impact of personality traits, as a predictive factor on the unsafe acts was surveyed in a construction project of a car manufacturing company.

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Material and Method: In this study, personality traits and unsafe behavior rates were determined using NEO-Five Factor Inventory (NEO-FFI) and safety behavior sampling (SBS) technique. The Spearman correlation coefficient was used. To analyze the acquired results, the total population of the project was 243 people.

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Result: The results showed that 31.7% of workers’ behaviors were unsafe behaviors. The correlation between unsafe behaviors and the neuroticism and extroversion were direct and significant (p<0.001).

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Conclusion: Assessment of the personality traits could be used as a predictive tool to identify employees with higher rates of unsafe behaviors and helps planning to reduce the accident rates.