Modeling Causal Factors of Occupational Accidents in Chemical Industries: A 10-Year Field Study in Iran

Document Type : Research Article


1 Occupational Safety & Health Engineering Department, Faculty of Health, Baqiyatallah University of Medical Sciences, Tehran, I.R. IRAN

2 Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Science, Shiraz, I.R. IRAN

3 Department of Occupational Safety & Health Engineering, Faculty of Health, Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, I.R. IRAN

4 Research center of Health, Safety and Environment, Evaz School of Health, Larestan University of Medical Sciences, Larestan, I.R. IRAN .

5 Department of Epidemiology & Biostatistics, Faculty of Health, Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, I.R. IRAN


Analyzing and modeling causal factors of occupational accidents play an important role in planning prevention programs. The study aimed to explore the causal factors of occupational accidents in chemical industries in Iran. The reports of 1322 accidents from 2007 to 2016 were gathered from 22 chemical industries. First, the Accident Frequency Rate (AFR) was calculated and all the effective factors were reviewed and labeled as “dependent” and “independent” factors. Second, feature selection was conducted to find the important causal factors. Then, multiple linear regression analysis was employed to model the most frequent causal factors in accident occurrence.  The average accident frequency rate (AFR) was 87.75±74.82. A total of 30 independent casual factors were identified to be eligible for further analysis. Results of multiple linear regression analysis showed that 21 out of 30 important casual factors had the most important role in occupational accidents which are categorized into personal factors, organizational factors, HSE training, risk management, unsafe acts, and conditions as well as the type of accident occurrence. This study revealed that any preventive program should consider the importance of each casual factor in occurring occupational accidents. The higher level of importance needs the higher level of attention.


Main Subjects

[1] Jiao W., Xiang S., Quantitative Safety and Health Assessment Based on Fuzzy Inference and AHP at Preliminary Design Stage, Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 35(4): 153-165 (2016).
[2] Cheraghi M., Bagherian-Sahlavani A., Mohammad Fam I., Toxic Chemical Release Hazard Distance Determination Using Chemical Exposure Index (CEI) in a Gas Refinery, Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 38(4): 273-291 (2018).
[3] Choobineh A., Soltanzadeh A., Tabatabaee H., Jahangiri M., Neghab M., Khavaji, S., Comparison of Shift Work-Related Health Problems in 12-Hour Shift Schedules of Petrochemical Industries, Iran Occupational Health, 7(4): 8-0 (2011).
[4] Jafari M.J., Nouraei M., Pouakian M., Torabi S.A., Rafiee Miandashti M., Mohammadi H.., Exploring Inherent Process Safety Indicators and Approaches for Their Estimation: A Systematic Review. Journal of Loss Prevention in the Process Industries, 52: 66-80 (2018).
[6] Jafari M.J., et al., Barriers to Adopting Inherently Safer Design Philosophy in Iran, Process Safety Progress, (2017).
[7] Soltanzadeh A., Mohammadfam I., Moghimbeygi A., Ghiasvand R., Exploring Causal Factors on the Severity Rate of Occupational Accidents in Construction Worksites. International Journal of Civil Engineering, 15(7): 959-965 (2017).
[8] Mohammadfam I., Soltanzadeh A., Moghimbeigi A., Akbarzadeh M., Confirmatory Factor Analysis of Occupational Injuries: Presenting an Analytical Tool, Trauma Monthly, 22(2): 1-9 (2017).
[9] Rathnayaka S., Khan F., Amyotte P., Accident Modeling Approach for Safety Assessment in an LNG Processing Facility, Journal of Loss Prevention in the Process Industries, 25(2): 414-423 (2012).
[10] Tauseef S., Abbasi T., Abbasi S.A., Development of a New Chemical Process-Industry Accident Database to Assist in Past Accident Analysis, Journal of Loss Prevention in the Process Industries, 24(4): 426-431 (2011).
[11] Abdolhamidzadeh B., Rashtchian D., Ashuri E., A New Methodology for Frequency Estimation of Second or Higher Level Domino Accidents in Chemical And Petrochemical Plants Using Monte Carlo Simulation, Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 28(4): 21-28 (2009).
[12] Abdolhamidzadeh B., Abbasi T., Rashtchian D., Abbasi, S.A., A New Method for Assessing Domino Effect in Chemical Process Industry, Journal Of Hazardous Materials, 182(1-3): 416-426 (2010).
[13] O.S.H.A., "Safety & Health Management System Etool", OSHA (2012)
[14] Hinrichs A., Novak E., Ullrich M., Woźniakowski H., The Curse of Dimensionality for Numerical Integration of Smooth Functions II, Journal of Complexity, 30(2): 117-143 (2014).
[16] Seber G.A., Lee A.J., "Linear Regression Analysis", Vol. 329. John Wiley & Sons, Inc. (2012).
[18] Nassiri M., Kaykhaii M., Hashemi S.H., Sepahi M., Spectrophotometric Determination of Formaldehyde in Seawater Samples after In-situ Derivatization and Dispersive Liquid-Liquid Microextraction, Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 37(1):89-97 (2018).
[19] Mohammadfam I., Soltanzadeh A., Moghimbeigi A., Savareh B.A., Use of Artificial Neural Networks (Anns) for the Analysis and Modeling of Factors that Affect Occupational Injuries in Large Construction Industries, Electronic physician, 7(7): 1515 (2015).
[22] Horwitz I.B., McCall B.P., Disabling and Fatal Occupational Claim Rates, Risks, and Costs in the Oregon Construction Industry 1990–1997, Journal of Occupational and Environmental Hygiene, 1(10): 688-698 (2004).
[23] Nivolianitou Z., Konstandinidou M., Michalis C., Statistical Analysis of Major Accidents in Petrochemical Industry Notified to the Major Accident Reporting System (MARS), Journal of Hazardous Materials, 137(1):  1-7 (2006).
[24] Harrington J.M., Health Effects of Shift Work and Extended Hours of Work, Occupational and Environmental Medicine, 58(1): 68-72 (2001).
[25] Badri N., Nourai F., Rashtchian D., The Role of Quantitative Risk Assessment in Improving Hazardous Installations Siting: A Case Study, Iranian Journal of Chemistry and Chemical Engineering (IJCCE)30(4): 113-119 (2011).
[27] Mohammadfam I., Soltanzadeh A., Arsang-Jang S., Mohammadi H., Structural Equation Modeling Modeling (SEM) of Occupational Accidents Size Based on Risk Management Factors; A Field Study in Process Industries, Health Scope, 8(1): 7 (2019).