International Journal of Civil Engineering

, Volume 15, Issue 7, pp 959–965 | Cite as

Exploring Causal Factors on the Severity Rate of Occupational Accidents in Construction Worksites

  • Ahmad Soltanzadeh
  • Iraj MohammadfamEmail author
  • Abbas Moghimbeygi
  • Reza Ghiasvand
Research Paper


Construction industries are among the most hazardous and high-risk occupations that involve mild-to-severe accidents and bodily injuries. The aim of this study is to explore the causal factors contributing to the accident severity rate (ASR) in 13 of the biggest Iranian construction industries. In this analytical cross-sectional study, the data of registered accidents from 2009 until 2013 were obtained from an official database. Data of HSE risk management systems and HSE training were also gathered from comprehensive accident investigation reports. Data analysis and regression modeling were done using the SPSS statistical software (version 22). The ASR mean and SD of studied construction worksites were 257.52 ± 1098.95. The results show that the system associated with HSE and HSE risk management established only 41.8 and 18.4%, respectively. Results of multiple linear regressions indicated individual and organizational factors (IOFs), HSE training factors (HTFs), and Risk Management System factors (RMSFs) to be significantly associated with ASR (p < 0.05). The study reveals ASR causal factors and aspects that can be applied in the design and implementation of a comprehensive HSE risk management system to reduce ASR.


Accident causal modeling Construction worksites Accident severity rate (ASR) Risk management system factors (RMSFs) 



The authors wish to sincerely thank Mr. Shahram Mahmoudi and Heidar Mohammadi, HSE engineers, for their invaluable and skillful assistance in data gathering and data analysis.


  1. 1.
    Mahmoudi S et al (2014) Framework for continuous assessment and improvement of occupational health and safety issues in construction companies. Safety health at work 5(3):125–130CrossRefGoogle Scholar
  2. 2.
    Soltanzadeh A et al (2016) Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach. Arh Hig Rada Toksikol 67(1):47–53CrossRefGoogle Scholar
  3. 3.
    Brace C et al (2009) Health and safety in the construction industry: underlying causes in construction fatal accidents–external research, July 2009, Health and Safety Executive, HSE Report, pp 205Google Scholar
  4. 4.
    Cameron I, Hare B, Davies R (2008) Fatal and major construction accidents: a comparison between Scotland and the rest of Great Britain. Saf Sci 46(4):692–708CrossRefGoogle Scholar
  5. 5.
    Cheng C-W et al (2010) Characteristic analysis of occupational accidents at small construction enterprises. Saf Sci 48(6):698–707CrossRefGoogle Scholar
  6. 6.
    Im H-J et al (2009) The characteristics of fatal occupational injuries in Korea’s construction industry, 1997–2004. Saf Sci 47(8):1159–1162CrossRefGoogle Scholar
  7. 7.
    Tam C, Zeng S, Deng Z (2004) Identifying elements of poor construction safety management in China. Saf Sci 42(7):569–586CrossRefGoogle Scholar
  8. 8.
    Pinto A, Nunes IL, Ribeiro RA (2011) Occupational risk assessment in construction industry–Overview and reflection. Saf Sci 49(5):616–624CrossRefGoogle Scholar
  9. 9.
    Grant A, Hinze J (2014) Construction worker fatalities related to trusses: An analysis of the OSHA fatality and catastrophic incident database. Saf Sci 65:54–62CrossRefGoogle Scholar
  10. 10.
    Issa U, Ahmed A (2014) On the quality of driven piles construction based on risk analysis. Int J Civil Eng 12(2B):121–129Google Scholar
  11. 11.
    Ma L, Zhang P (2014) Game analysis on moral hazard of construction project managers in China. Management 3(4):5–6Google Scholar
  12. 12.
    Oral EL, Oral M, Andaç M (2016) Construction Crew Productivity Prediction: Application of Two Novel Methods. Int J Civil Eng 14(3):181–186. doi: 10.1007/s40999-016-0009-2 CrossRefGoogle Scholar
  13. 13.
    Song X et al (2016) A decision making system for construction temporary facilities layout planning in large-scale construction projects. Int J Civil Eng 1–21. doi: 10.1007/s40999-016-0107-1
  14. 14.
    Noh H, Cho Y (2010) Establishment of railway safety management system using systems engineering management plan. Int J Civil Eng 8(1)Google Scholar
  15. 15.
    Saffarzadeh M, Pooryari M (2005) Accident prediction model based on traffic and geometric design characteristics. Int J Civil Eng 3(2):112–119Google Scholar
  16. 16.
    Haslam RA et al (2005) Contributing factors in construction accidents. Appl Ergon 36(4):401–415CrossRefGoogle Scholar
  17. 17.
    Azadeh A, Mohammad Fam I (2006) A framework for development of integrated intelligent human engineering environment. Inf Technol J 5(2):290–299CrossRefGoogle Scholar
  18. 18.
    Fam IM, Nikoomaram H, Soltanian A (2012) Comparative analysis of creative and classic training methods in health, safety and environment (HSE) participation improvement. J Loss Prev Process Ind 25(2):250–253CrossRefGoogle Scholar
  19. 19.
    Preece C et al (2015) A review of customer relationship (CRM) implications: benefits and challenges in construction organizations. Int J Civil Eng 13(3):362–371Google Scholar
  20. 20.
    Sari M et al (2009) Stochastic modeling of accident risks associated with an underground coal mine in Turkey. Safe Sci 47(1):78–87MathSciNetCrossRefGoogle Scholar
  21. 21.
    Soltanzadeh A, Mohammadfam I, Akbarzadeh M (2014) Studying disabling occupational accidents in the construction industry during two years. J Occupation Hygiene Eng 1(2):57–66Google Scholar
  22. 22.
    Mohamadfam I et al (2015) Comparison of management oversight and risk tree and tripod-beta in excavation accident analysis. Jundishapur J Health Sci 7(1)Google Scholar
  23. 23.
    Moradinazar M et al (2013) Epidemiology of work-related injuries among construction workers of Ilam (Western Iran) during 2006–2009. Iran Red Crescent Med J 15(10)Google Scholar
  24. 24.
    Moghaddam FR, Afandizadeh S, Ziyadi M (2011) Prediction of accident severity using artificial neural networks. Int J Civil Eng 9(1):41Google Scholar
  25. 25.
    Mohammadfam I, Moghimbeigi A (2009) Evaluation of injuries among a manufacturing industry staff in Iran. J Res Health Sci 9(1):7–12Google Scholar
  26. 26.
    Ardeshir A et al (2014) Risk assessment of construction projects for water conveyance tunnels using fuzzy fault tree analysis. Int J Civil Eng 12(4A):396–412Google Scholar
  27. 27.
    Mohammadfam I et al (2016) Confirmatory factor analysis of occupational injuries: presenting an analytical tool. Trauma Month (in press)Google Scholar
  28. 28.
    Mohammadfam I et al (2015) Use of artificial neural networks (ANNs) for the analysis and modeling of factors that affect occupational injuries in large construction industries. Electron Phys 7(7):1515CrossRefGoogle Scholar
  29. 29.
    Piranveyseh P et al (2016) Association between psychosocial, organizational and personal factors and prevalence of musculoskeletal disorders in office workers. Int J Occup Saf Ergon 22(2):267–273CrossRefGoogle Scholar
  30. 30.
    OSHA (2012) O.S.H.A., safety and health managment system etoolGoogle Scholar
  31. 31.
    Mohammadfam I et al (2016) Analysis and modeling of threatening factors of workforce’s health in large-scale workplaces: comparison of four-fitting methods to select optimum technique. Electron Phys 8(2):1918CrossRefGoogle Scholar

Copyright information

© Iran University of Science and Technology 2017

Authors and Affiliations

  • Ahmad Soltanzadeh
    • 1
  • Iraj Mohammadfam
    • 2
    Email author
  • Abbas Moghimbeygi
    • 3
  • Reza Ghiasvand
    • 4
  1. 1.Department of Occupational Hygiene Engineering, School of Public HealthQom University of Medical SciencesQomIran
  2. 2.Department of Occupational Hygiene Engineering, School of Public Health and Research Center for Health SciencesHamadan University of Medical SciencesHamadanIran
  3. 3.Epidemiology and Biostatistics Department, Public Health FacultyHamadan University of Medical SciencesHamadanIran
  4. 4.Department of Biostatistics, Institute of Basic Medical SciencesUniversity of OsloOsloNorway

Personalised recommendations