Showing 6 results for Ghiyasi
Ahmad Soltanzadeh, Mohammad Gohari Motlagh, Samira Ghiyasi,
Volume 4, Issue 1 (january 2020)
Abstract
Background: One of the most important factors in crisis management is the location of a muster point to reduce vulnerability. This study aimed to assess the efficacy of designated sites for muster point during a crisis in one of the districts of Tehran. Methods: This study was conducted in a cross-sectional descriptive-analytic study in 2018 using a researcher-made questionnaire. The assessed areas in this study included (1) the adequacy of the number of muster points, (2) parameters affecting muster points, (3) the use of the GIS in crisis management, (4) solutions affecting the reduction of damages, (5) attention to safety of muster points and (6) crisis management. The data were analyzed using SPSS version 22 and independent t-test. Significance level was considered as 0.05. Results: 80 crisis management experts participated in this study (63 males and 17 females). The mean age and experience of the participants were less than 40 and 15 years. The results of assessing the effeciency of the muster points in 6 studied areas showed that the highest value was related to the use of the GIS in crisis management 3.88(0.65), effective parameters on muster points 3.78(0.75) and the safety of the muster points 3.74(0.69). In addition, the analytical findings showed a significant difference with the criterion value (p<0.001). Conclusion: The findings of this study indicated that the studied muster points were sufficient and determined based on population density and geographical information system parameters. In addition, these results can be used as a basis for macro managerial decisions.
Vahideh Dadfarma, Ahmad Soltanzadeh, Samira Ghiyasi,
Volume 5, Issue 3 (july 2021)
Abstract
Introduction: Despite efforts exerted in various areas of the industry to reduce occupational accidents, the frequency of these accidents is reported to be catastrophically high. Therefore, this study was designed and conducted to analyze occupational accidents during a 3-year period. Methods: The current study was a retrospective and descriptive-analytical study carried out in four regions of Tehran between 2019-2020. The data collection instrument consisted of 818 reports of the occupational accident recorded in the Department of Labor in Tehran. Feature selection (IBM SPSS Modeler software) and binominal multiple logistic regression analysis (IBM SPSS software) were utilized in this study. Results: The means of age and experience of injured workers were found to be 34.55±11.55 and 14.12±9.87, respectively. The highest rate of occupational accidents belonged to construction workshops (52.4%), production (24.4 %) and other public and social services activities (11.1 %). Data mining and modeling of factors affecting these occupational accidents showed that the consequence of the accidents was affected by seven factors (p<0.05). The results showed that the work experience, type of activity, number of workers, accident time on the day, type of incidence and the causes of the accident remained in the final model and were significant with the consequence of the occupational accidents (p<0.05). Conclusion: The results indicated that different parameters can affect the occurrence of occupational accidents. Additionally, the consequences of these occupational accidents can be influenced by different parameters and factors.
Ahmad Soltanzadeh, Fatemeh Ghaderi, Samira Ghiyasi, Milad Moohammadi,
Volume 5, Issue 4 (october 2021)
Abstract
Background: Accidents impose harmful economic consequences for workers, employers, and society. The present study aimed to evaluate the economic consequences of occupational accidents. Methods: This descriptive-analytical study was conducted in the Iranian Gas Engineering and Development Company in 2020. Data collection tools were a checklist and a researcher-made questionnaire. The reliability of this questionnaire was calculated through Cronbach's alpha coefficient. Data analysis was conducted using SPSS statistical software and the significance level was considered 0.05. Results: The reliability of this questionnaire was estimated at α = 0.87. The average lost work day caused by occupational accidents was 36.67 days and the average cost imposed for each accident was 23.97 million Tomans. The total safety index in the studied environment was calculated at 3.59± 1.01. The results of linear multivariate regression analysis indicated that the cost imposed for each accident has a significant relationship with accident type and accident consequence, level of education, number of workers, training hours, work experience, salary, and total safety index (p <0.05). Conclusion: The findings of this study showed that the economic performance of a company can be affected by individual, occupational, and most importantly safety factors of the company. In addition, such factors are considered as strong predictors for economic safety performance.
Ahmad Soltanzadeh, Faezeh Rahimi, Samira Ghiyasi, Farshad Hashemzadeh, Farshid Momeni Farahani,
Volume 5, Issue 4 (october 2021)
Abstract
Background: Today's businesses spend a lot of money on educating their personnel. What matters is that people use their knowledge to their jobs. The goal of this study was to look into the environment that affects learning transfer and come up with a solution to increase the effectiveness of health, safety and environment (HSE) courses. Methods: In 2020, a
cross-sectional study was done at the Tehran Oil Refining Company. The number of samples was 200, according to Cochran's formula. The major data gathering technique was a 20-item questionnaire created by the researcher. The multivariate regression model was used to analyze the study data, which was done with IBM SPSS software. Results: The questionnaire's content validity and reliability were estimated to be 0.83 and 0.929, respectively. 3.68±0.22 was the atmospheric indicator that proved effective in transferring learning and providing a way to increase the effectiveness of HSE training. The climate index affecting the transfer of learning had a significant link with the parameters of work experience (p = 0.02), education
(p = 0.03), and kind of employment (P = 0.01), according to the results of linear multivariate regression analysis. Conclusion: The atmospheric index influencing learning transfer and proposing a solution to increase the efficacy of HSE courses in the Tehran Oil Refining Company was deemed favorable. The outcomes of this study revealed that supervisors on job units in this business provide a supportive environment that is perfectly aligned with encouraging learners to enroll in training courses.
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.
