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Introduction: Safety at workplaces is an important issue, and lack of effective and efficient safety management methods based on scientific studies could cost the construction industry. An effective accident investigation and root causes analysis could prevent the occurrence of incidents at minimum cost and time. Material and Method: First, major accidents in road construction projects were identified by interview and literature reviewing techniques. Then, fault tree was drawn for each main risks. In the next step, in order to calculate occurrence probability and severity of each accident type, a questionnaire was designed and distributed among the participants. Fuzzy logic was employed in calculations, due to the existence of uncertainty in linguistic variables. Fuzzy Fault Tree Analysis (FFTA) was used for calculating the occurrence probability, and importance of each criterion was determined using Fuzzy Analytical Hierarchical Process (FAHP) to calculate the severity of each accident. Finally, risk factors for each accident type was calculated and the risks were ranked accordingly. Result: Accidents related to crusher and asphalt plant, traffic accidents, heat exhaustion and lack of hygiene and hit by machinery were identified as the most important risks among the eleven investigated accident types. Conclusion: The findings in this research and also implementing effective safety management techniques, could be helpful on reduction of the probability of accidents root causes and to mitigate related risks.

Introduction: Safety in construction needs not only operating the executive laws and instructions but also the safety culture of all the workers in workshops. Safety culture is a factor by which all the workers are committed to having a positive share in the safety of their coworkers and themselves. Therefore, the aim of this study is identification of safety culture factors and ranking occupations in jobsites in order to improve the safety condition and promote the safety culture of high-rise projects. Material and Method: In this descriptive-analytical study, first, safety culture criteria in construction projects are identified by a literature review. Then, 8 factors of safety culture are weighted using fuzzy analytic hierarchy process. Finally, 10 different occupations in high-rise workshops are ranked from the point of view of safety culture using fuzzy TOPSIS method. Result: Results of ranking the criteria show that the most important criteria are safety attitude, supervision, policy of organization and safety training. Moreover, in high-rise construction the site superintendent and supervisor occupations have the highest and laborers have the lowest safety culture. Conclusion: In this study, after evaluating different construction occupations by hybrid FTOPSIS-FAHP method, the results are compared with the results of previous researches. Here, it was found that the findings are consistent with previous studies. On the other hand, low level of safety culture of construction laborers among the investigated occupations shows weakness in safety training and attitude; hence, the factors such as more safety supervision and training must be considered in order to create a positive safety culture for the workers.

Background and aims: Falling from work surfaces at height is often known as one of the main causes of fatal occupational accidents in the construction industry. Preventing from this type of accidents is a favorable subject not only for workers and employers, but also for HSE and insurance professionals of companies. Hence, the aim of this study is to identify and rank the causes of this hazard in order to prevent from its occurrence in large construction projects. Methods: In the beginning, main causes of falling from height hazard were identified and a fault tree was drawn for each of them. Then, these causes were weighted using Fuzzy Analytical Hierarchy Process and Fuzzy Fault Tree Analysis and finally were ranked. Results: In the high-rise construction industry, the highest importance coefficient was devoted to personal factors. According to the results of the hierarchical analysis, recklessness, low level of consciousness, unsafe practices and poor safety supervision were known as the most important causes of falling from height hazard. Conclusion: Comparing the results with the past research and validating the model by asking from the assessment group, demonstrated that the proposed method is reliable and useful. Since falling from height is the most important risk in construction sites, safety managers of high-rise projects can employ this method and also use the factors identified in this study for safety assessment and mitigating falling from height hazard in this group of projects.