Construction safety risk assessment with introduced control levels
Abstract
It is of great importance to facilitate the risk assessment process in construction projects because risk assessment is a requirement in most legislation and safety standards. A great majority of construction SMEs (Small and Medium Enterprises) are not familiar with risk assessment concepts and methods. In particular, SMEs are very likely to have difficulty finding the qualified personnel or time to carry out a proper risk assessment. The method introduced in this paper has some distinct features. The method introduces a new method of risk assessment, replacing the traditional definition of probabilities with control levels because they are easier to implement and yield more accurate risk scores. The method was practically applied on 22 construction SMEs. From the practical application, it was observed that the method was found to be user friendly and the SMEs found it easy to update their risk strategies during various construction stages in their projects. The proposed risk assessment method introduces a powerful and practical control level strategy which would develop a safer, healthier and more competitive workplace for construction SMEs.
Keyword : risk assessment, risk management, construction industry, control levels
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Choe, S.; Leite, F. 2017. Assessing safety risk among different construction trades: Quantitative approach, Journal of Construction Engineering and Management 143(5), 04016133. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001237
Choudhry, R. M. 2017. Achieving safety and productivity in construction projects, Journal of Civil Engineering and Management 23(2): 311–318. http://dx.doi.org/10.3846/13923730.2015.1068842
Dewlaney, K. S.; Hallowell, M. R.; Fortunato III, B. R. 2012. Safety risk quantification for high performance sustainable building construction, Journal of Construction Engineering and Management 138(8): 964–971. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000504
Esmaeili, B.; Hallowell, M. 2013. Integration of safety risk data with highway construction schedules, Construction Management and Economics 31(6): 528–541. http://dx.doi.org/10.1080/01446193.2012.739288
Fortunato III, B. R.; Hallowell, M. R.; Behm, M.; Dewlaney, K. 2012. Identification of safety risks for high-performance sustainable construction projects, Journal of Construction Engineering and Management 138(4): 499–508. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000446
Fung, I. W. H.; Tam, V. W. Y.; Lo, T. Y.; Lu, L. L. H. 2010. Developing a risk assessment model for construction safety, International Journal of Project Management 28(6): 593–600. http://dx.doi.org/10.1016/j.ijproman.2009.09.006
Gunduz M.; Laitinen, H. 2017b. A 10-step safety management framework for construction SMEs, International Journal of Occupational Safety and Ergonomics 23(3): 353–359. http://dx.doi.org/10.1080/10803548.2016.1200258
Gunduz, M.; Birgonul T.; Ozdemir, M. 2018. Development of a safety performance index assessment tool by using a fuzzy structural equation model for construction aites, Automation in Construction 85: 124–134. http://dx.doi.org/10.1016/j.autcon.2017.10.012
Gunduz, M.; Birgonul, T.; Ozdemir, M. 2017a. Fuzzy structural equation model to assess construction site safety performance, Journal of Construction Engineering and Management 143(4). http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001259
Gurcanli, G. E.; Bilir, S.; Sevim, M. 2015. Activity based risk assessment and safety cost estimation for residential building construction projects, Safety Science 80: 1–12. http://dx.doi.org/10.1016/j.ssci.2015.07.002
Hallowell, M. R. 2011. Risk-based framework for safety investment in construction organizations, Journal of Construction Engineering and Management 137(8): 592–599. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000339
Hallowell, M.; Gambatese, J. 2010. Population and initial validation of a formal model for construction safety risk management, Journal of Construction Engineering and Management 136(9): 981–990. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000204
Isaac, S.; Edrei, T. 2016. A statistical model for dynamic safety risk control on construction sites, Automation in Construction 63: 66–78. http://dx.doi.org/10.1016/j.autcon.2015.12.006
Karakhan, A. A.; Gambatese, J. A. 2017. Identification, quantification, and classification of potential safety risk for sustainable construction in the United States, Journal of Construction Engineering and Management 143(7), 04017018. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001302
Laitinen, H.; Marjamäki, M., Päivärinta, K. 1999. The validity of the TR safety observation method on building construction, Accident Analysis and Prevention 31: 463–472. http://dx.doi.org/10.1016/S0001-4575(98)00084-0
Laitinen, H.; Päivärinta, K. 2010. A new-generation safety contest in the construction industry – a long-term evaluation of a real-life intervention, Safety Science 48: 680–686. http://dx.doi.org/10.1016/j.ssci.2010.01.018
Leu, S.-S.; Chang, C.-M. 2013. Bayesian-network-based safety risk assessment for steel construction projects, Accident Analysis and Prevention 54: 122–123. http://dx.doi.org/10.1016/j.aap.2013.02.019
Lopez del Puerto, C.; Clevenger, C.; Boremann, K.; Gilkey, D. 2014. Exploratory study to identify perceptions of safety and risk among residential Latino construction workers as distinct from commercial and heavy civil construction workers, Journal of Construction Engineering and Management 140(2). http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000794
Malekitabar, H.; Ardeshir, A.; Sebt, M. H.; Stouffs, R. 2016. Construction safety risk drivers: A BIM approach, Safety Science 82: 445–455. http://dx.doi.org/10.1016/j.ssci.2015.11.002
Mitropoulos, P.; Namboodiri, M. 2011. New method for measuring the safety risk of construction activities: Task demand assessment, Journal of Construction Engineering and Management 137(1): 30–38. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000246
Pinto, A. 2014. QRAM a qualitative occupational safety risk assessment model for the construction industry that incorporate uncertainties by the use of fuzzy sets, Safety Science 63: 57–76. http://dx.doi.org/10.1016/j.ssci.2013.10.019
Raviv, G.; Shapira, A.; Fishbain, B. 2017. AHP-based analysis of the risk potential of safety incidents: Case study of cranes in the construction industry, Safety Science 91: 298–309. http://dx.doi.org/10.1016/j.ssci.2016.08.027
Sousa, V.; Almeida, N. M.; Dias, L. A. 2014. Risk-based management of occupational safety and health in the construction industry - Part 1: Background knowledge, Safety Science 66: 75–86. http://dx.doi.org/10.1016/j.ssci.2014.02.008
Sousa, V.; Almeida, N. M.; Dias, L. A. 2015. Risk-based management of occupational safety and health in the construction industry - Part 2: Quantitative model, Safety Science 74: 184–194. http://dx.doi.org/10.1016/j.ssci.2015.01.003
Tixier, A. J.-P.; Hallowell, M. R.; Rajagopalan, B. 2017. Construction safety risk modeling and simulation, Risk Analysis 37(10): 1917–1935. http://dx.doi.org/10.1111/risa.12772
Zhang, L.; Skibniewski, M. J.; Wu, X.; Chen, Y.; Deng, Q. 2014. A probabilistic approach for safety risk analysis in metro construction, Safety Science 63: 8–17. http://dx.doi.org/10.1016/j.ssci.2013.10.016