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Volume 1, Issue 1 (1-2012)
Abstract
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.
S. Mahmoudi, I. M. Fam, B. Afsartala, S. Alimohammadzadeh,
Volume 3, Issue 4 (2-2014)
Abstract
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.
Farnaz Asghari, Rasoul Hemmatjou, Abolfazl Ghahramani,
Volume 15, Issue 3 (10-2025)
Abstract
Introduction: Unsafe acts are one of the main causes of workplace accidents. Given the critical role of the steel industry in our country, and the limited research on human factors, and the importance of identifying the contributors to accidents, this study was conducted with the aim of identifying human factors influencing accidents and unsafe behaviors using the Human Factors Analysis and Classification System (HFACS). The identified factors were then prioritized using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methods. Based on the results, appropriate recommendations were proposed for the prevention of accidents and the reduction of unsafe acts.
Material and Methods: This descriptive-analytical study was carried out in the rebar production unit of a steel manufacturing plant. Among 35 recorded accidents over the past two years, 28 were related to the rebar production unit. Data were collected through review of accident reports, seven on-site observations during high-risk shifts, and interviews with employees. After analyzing the occupational accidents, the rebar production process in the rolling unit was identified as a high-risk area. The HFACS checklist was used to assess this process and classify the human factors contributing to accidents. Subsequently, DEMATEL and ANP methods were applied to determine causal relationships and prioritize the factors.
Results: The HFACS analysis identified 236 human factors, among which the preconditions for unsafe acts and organizational factors had the highest frequency (24.57% each), while external factors had the lowest (8.47%). According to DEMATEL results, organizational influences exerted the greatest impact on other levels, whereas external factors had the least effect. In terms of being influenced by other levels, unsafe acts showed the highest level of susceptibility, whereas unsafe supervision had the lowest levels. Based on ANP findings, the preconditions for unsafe acts had the highest importance, while unsafe supervision had the lowest in contributing to unsafe acts.
Conclusion: The findings of this study suggest that improving safety culture, improving organizational regulations, implementing targeted training programs, and updating equipment can play a significant role in reducing accidents caused by unsafe acts. The results provide practical insights for managers and policymakers and can serve as a useful tool for decision-making in occupational health and safety within the steel industry.
