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

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.

[1]  A. Moghimbeigi,et al.  Confirmatory Factor Analysis of Occupational Injuries: Presenting an Analytical Tool , 2016 .

[2]  Jimmie Hinze,et al.  Construction worker fatalities related to trusses: an analysis of the OSHA fatality and catastrophic incident database , 2014 .

[3]  A. Moghimbeigi,et al.  Analysis and Modeling of Threatening Factors of Workforce’s Health in Large-Scale Workplaces: Comparison of Four-Fitting Methods to select optimum technique , 2016, Electronic physician.

[4]  John Rogers,et al.  A review of customer relationship (CRM) implications: Benefits and challenges in construction organizations , 2015 .

[5]  Jiuping Xu,et al.  A Decision Making System for Construction Temporary Facilities Layout Planning in Large-Scale Construction Projects , 2017 .

[6]  Iraj Mohammadfam,et al.  Use of Artificial Neural Networks (ANNs) for the Analysis and Modeling of Factors That Affect Occupational Injuries in Large Construction Industries , 2015, Electronic physician.

[7]  Emel Laptali Oral,et al.  Construction Crew Productivity Prediction: Application of Two Novel Methods , 2016 .

[8]  A. Moghimbeigi,et al.  Evaluation of Injuries among a Manufacturing Industry Staff in Iran. , 2009, Journal of research in health sciences.

[9]  Mojtaba Ziyadi,et al.  Prediction of accident severity using artificial neural networks , 2011 .

[10]  Fakhradin Ghasemi,et al.  Comparison of management oversight and risk tree and Tripod-beta in excavation accident analysis , 2015 .

[11]  Young-Jun Kwon,et al.  The characteristics of fatal occupational injuries in Korea’s construction industry, 1997–2004 , 2009 .

[12]  Celal Karpuz,et al.  Stochastic modeling of accident risks associated with an underground coal mine in Turkey , 2009 .

[13]  . A.Azadeh,et al.  A Framework for Development of Integrated Inteligent Human Engineering Environment , 2006 .

[14]  Iain Cameron,et al.  Fatal and major construction accidents : A comparison between Scotland and the rest of Great Britain , 2008 .

[15]  Mahmoud Saffarzadeh,et al.  Accident Prediction Model Based on Traffic and Geometric Design Characteristics , 2005 .

[16]  Mehdi Moradinazar,et al.  Epidemiology of Work-Related Injuries Among Construction Workers of Ilam (Western Iran) During 2006 - 2009 , 2013, Iranian Red Crescent medical journal.

[17]  Abel Pinto,et al.  Risk Assessment in Construction Industry ? Overview and Reflection , 2011 .

[18]  Usama H. Issa,et al.  On the quality of driven piles construction based on risk analysis , 2014 .

[19]  Sou-Sen Leu,et al.  Characteristic analysis of occupational accidents at small construction enterprises , 2010 .

[20]  L. Ma,et al.  Game analysis on moral hazard of construction project managers in China , 2014 .

[21]  Iraj Mohammadfam,et al.  Framework for Continuous Assessment and Improvement of Occupational Health and Safety Issues in Construction Companies , 2014, Safety and health at work.

[22]  A. Moghimbeigi,et al.  Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach / Primjena regresijskog modela u analizi ključnih čimbenika koji pridonose težini nesreća u građevinskoj industriji u Iranu , 2016, Arhiv za higijenu rada i toksikologiju.

[23]  I. Mohammad Fam,et al.  Comparative analysis of creative and classic training methods in health, safety and environment (HSE) participation improvement , 2012 .

[24]  Abdollah Ardeshir,et al.  Risk Assessment of Construction Projects for Water Conveyance Tunnels Using Fuzzy Fault Tree Analysis , 2014 .

[25]  Saixing Zeng,et al.  Identifying elements of poor construction safety management in China , 2004 .

[26]  H M Noh,et al.  Establishment of Railway Safety Management System Using Systems Engineering Management Plan , 2010 .

[27]  A. Moghimbeigi,et al.  Association between psychosocial, organizational and personal factors and prevalence of musculoskeletal disorders in office workers , 2016, International journal of occupational safety and ergonomics : JOSE.

[28]  Mohammadfam Iraj,et al.  Studying Disabling Occupational Accidents in the Construction Industry During Two Years , 2014 .

[29]  A R Duff,et al.  Contributing factors in construction accidents. , 2005, Applied ergonomics.