Samira Ghiyasi, Milad Koushki Rad, Ahmad Soltanzadeh, Mona Ghafourian, Hadi Najafiyan,
Volume 6, Issue 3 (July 2022)
Abstract
Background: In addition to detrimental effects on economy and people, safety consequences could negatively affect the efficiency and productivity of construction projects. This study aims to analyze the factors affecting safety consequences in construction projects. Method: This was a descriptive-analytical and cross-sectional study conducted in 2020 in a large construction project (a sewage treatment plant) in Tehran. The 250 people working in this construction project participated in this study. Data for this study were collected based on a safety parameter assessment checklist. Independent variables in this study were age and work experience, education, daily working hours, harmful physical and ergonomic factors, and unsafe practices. Analytical variables included Accident Frequency Rate (AFR) and Safe-T score. A multiple linear regression model and SPSS version 22.0 were used for data analysis. Results: Age and working experience of the participants were 35.8± 9.8 and 3.4± 1.7, respectively, and nearly half of them had high school diploma (47.6%). AFR for two consecutive years of 2019 and 2020, were 5.16 and 4.43 accidents, respectively. Safe-T-Score was calculated as – 0.011. The results of regression analysis revealed a significant relation (p<0.05) between Safe-T-score and working experience, daily working hours, unsafe practices, noise and thermal stress exposure, carrying and moving loads, and safety risk factors variables. Conclusion: Results of this study indicated that although safety performance at the studied construction site was relatively favorable, several variables had an impact on the safety consequences of the project. Hence, the safety consequences of construction projects might benefit from the results of this study.
Mohsen Amini, Ahmad Soltanzadeh, Samira Ghiyasi, Hadi Najafiyan,
Volume 6, Issue 3 (July 2022)
Abstract
Background: Fire safety is one of the most important issues in high-rise buildings. The purpose of this study is to assess maximum possible loss in the fire in Central Insurance Building of Islamic Republic of Iran using the layer of protection analysis (LOPA) method. Method: In 2017, this analytical study was conducted on the 21-floor building of the Central Insurance in Iran. To identify the hazard sources and assess the maximum possible loss, the authors used the preliminary hazard list (PHL) and layer of protection analysis (LOPA) respectively. In addition, the analysis of the study data was performed based on the 10×10 risk assessment matrix. Results: The results of the PHL showed that 26 hazardous conditions and four major sources including structural engineering, fire alarm systems and fire extinguishers, design and maintenance of building safety, and behavioral habits were identified as main hazards of fire in the studied building. The application of the LOPA method showed that highest risk level was associated with the fire caused by the exhaust heat from the engine room (RL=48) and the emergency power generator diesel (RL=40), respectively. Conclusion: The findings of this study indicated that calculating the maximum possible loss in the fire of high-rise buildings can help to increase the safety factor. Moreover, the use of the two methods, PHL and LOPA, can be useful in these types of risk assessments.
