The Effect of Fatigue on Safety Attitude, Hazard Recognition and Safety Risk Perception among Construction Workers

Document Type : Research Article

Authors

1 Department of Civil Engineering, Bu-Ali Sina University, Hamedan

2 Civil - Buali-Sina University

3 Department of Construction Management, College of Engineering and Technology, East Carolina University

Abstract

According to the National Job Institution, each year about 360 million job accidents happen all around the world which leads to the loss of lives of over two million people. About 50% of these accidents are related to the construction sector which causes physical, mental, and monetary damages. Therefore, to prevent and decrease incidents in construction environments, it is essential to explore the factors that influence safety attitude, hazard recognition performance, and safety risk perception of construction workers. One of these factors is fatigue, which has a negative effect on the safety performance of construction workers but has not been empirically investigated before. To study the impacts of fatigue on the safety performance of construction workers and achieve the research goals, 135 construction workers were recruited. After collecting fatigue data and safety attitudes of the participating workers, their hazard recognition and safety risk perception were evaluated using pre-evaluated case images all captured from real construction projects. The results of the study revealed that (1) in comparison with high fatigue levels, low fatigue levels are associated with a more positive safety attitude and higher hazard recognition, and (2) the effect of fatigue on safety risk perception was mediated by hazard recognition performance and safety attitude. The findings of this study help the construction industry to improve safety performance by mitigating the negative aspects of fatigue among workers.

Keywords

Main Subjects

References

 [1] H.-T. Liu, Y.-l. Tsai, A fuzzy risk assessment approach for occupational hazards in the construction industry, Safety science, 50(4) (2012) 1067-1078.
[2] R.Y. Sunindijo, P.X. Zou, Political skill for developing construction safety climate, Journal of Construction Engineering and Management, 138(5) (2011) 605-612.
[3] W. Yi, A.P. Chan, X. Wang, J. Wang, Development of an early-warning system for site work in hot and humid environments: A case study, Automation in Construction, 62 (2016) 101-113.
[4] M. Niu, R.M. Leicht, S. Rowlinson, Overview and analysis of safety climate studies in the construction industry, in:  Construction Research Congress 2016, 2016, pp. 2926-2935.
[5] X. Huang, D. Fang, X. Li, ‘Construction accident losses: How much an accident costs, in:  Proc. 2000 Int. Symp. On Safety Science and Technology, Chemical Industry Press, 2000, pp. 320-325.
[6] F. Hatami, the effects of a safety educational intervention on promoting safety behavior at textile workers, Hormozgan Medical Journal, 17(4) (2013) 333-345.
[7] D. Langford, S. Rowlinson, E. Sawacha, Safety behavior and safety management: its influence on the attitudes of workers in the UK construction industry, Engineering, Construction and Architectural Management, 7(2) (2000) 133-140.
[8] K.E. Weick, K.M. Sutcliffe, D. Obstfeld, Organizing for high reliability: Processes of collective mindfulness, Crisis management, 3(1) (2008) 81-123.
[9] H. Sanaeinasab, F. GHOFRANIPOUR, A. KAZEMNEJAD, A. Khavanin, R. Tavakoli, the effect of composed precede-proceed model, social cognitive and adult learning theories to promote safety behaviors in employees, (2008).
[10] A. Perlman, R. Sacks, R. Barak, Hazard recognition and risk perception in construction, Safety science, 64 (2014) 22-31.
[11] Albert, M.R. Hallowell, B.M. Kleiner, Experimental field testing of a real-time construction hazard identification and transmission technique, Construction Management and Economics, 32(10) (2014) 1000-1016.
[12] W.D. Taylor, L.A. Snyder, The influence of risk perception on safety: A laboratory study, Safety science, 95 (2017) 116-124.
[13] P.M. Arezes, A.S. Miguel, Risk perception and safety behavior: A study in an occupational environment, Safety science, 46(6) (2008) 900-907.
[14] M. Namian, A. Albert, C.M. Zuluaga, E.J. Jaselskis, improving hazard-recognition performance and safety training outcomes: Integrating strategies for training transfer, Journal of Construction Engineering and Management, 142(10) (2016) 04016048.
[15] L.M. Kath, K.M. Marks, J. Ranney, Safety climate dimensions, leader–member exchange, and organizational support as predictors of upward safety communication in a sample of rail industry workers, Safety Science, 48(5) (2010) 643-650.
[16] R. Flin, K. Mearns, P. O'Connor, R. Bryden, measuring safety climate: identifying the common features, Safety science, 34(1-3) (2000) 177-192.
[17] G.J. Fogarty, A. Shaw, Safety climate and the theory of planned behavior: Towards the prediction of unsafe behavior, Accident Analysis & Prevention, 42(5) (2010) 1455-1459.
[18] D. Fang, Z. Jiang, M. Zhang, H. Wang, an experimental method to study the effect of fatigue on construction workers’ safety performance, Safety science, 73 (2015) 80-91.
[19] A. Williamson, D.A. Lombardi, S. Folkard, J. Stutts, T.K. Courtney, J.L. Connor, The link between fatigue and safety, Accident Analysis & Prevention, 43(2) (2011) 498-515.
[20] P. Parijat, T.E. Lockhart, Effects of lower extremity muscle fatigue on the outcomes of slip-induced falls, Ergonomics, 51(12) (2008) 1873-1884.
[21] G. Swaen, L. Van Amelsvoort, U. Bültmann, I. Kant, Fatigue as a risk factor for being injured in an occupational accident: results from the Maastricht Cohort Study, Occupational and environmental medicine, 60(suppl 1) (2003) i88-i92.
[22] P.C. Winwood, A.H. Winefield, K. Lushington, Work-related fatigue and recovery: the contribution of age, domestic responsibilities and shiftwork, Journal of Advanced Nursing, 56(4) (2006) 438-449.
[23] F. Javadpour, S. Keshavarzi, A. Choobineh, M. Aghabaigi, Validity and reliability of Occupational Fatigue/Exhaustion Recovery scale (OFER-15) among Iranian working population, Iran Occupational Health,11(6) (2014) (in persion).
[24] H.C. Triandis, Reflections on trends in cross-cultural research, Journal of cross-cultural psychology, 11(1) (1980) 35-58.
[25] S. Chaiken, A.H. Eagly, Communication modality as a determinant of persuasion: The role of communicator salience, Journal of personality and social psychology, 45(2) (1983) 241.
[26] J. Watson, S. Lysonski, T. Gillan, L. Raymore, Cultural values and important possessions: a cross-cultural analysis, Journal of Business Research, 55(11) (2002) 923-931.
[27] M. Loosemore, N. Malouf, Safety training and positive safety attitude formation in the Australian construction industry, Safety science, 113 (2019) 233-243.
[28] M. Namian, A. Albert, J. Feng, Effect of distraction on hazard recognition and safety risk perception, Journal of Construction Engineering and Management, 144(4) (2018) 04018008.
[29] D. Zhao, A.P. McCoy, B.M. Kleiner, T.H. Mills, H. Lingard, Stakeholder perceptions of risk in construction, Safety science, 82 (2016) 111-119.
[30] A.J.-P. Tixier, M.R. Hallowell, A. Albert, L. van Boven, B.M. Kleiner, Psychological antecedents of risk-taking behavior in construction, Journal of Construction Engineering and Management, 140(11) (2014) 04014052.
[31] A.J. Samimi, R. Mohammadi, measuring customer satisfaction index (CSI) in Iranian tile industry using Pls path modeling technique, Middle-East Journal of Scientific Research, 8(1) (2011) 141-149.
[32] E Moss, D Rousseau, S Parent, D St-Laurent, J Saintonge, Correlates of attachment at school age: Maternal reported stress, mother-child interaction, and behavior problems, Child development, 69(5) (1998) 1390-1405.
[33] Werts, C. E., Linn, R. L., & Jöreskog, K. G., Intraclass Reliability Estimates: Testing Structural Assumptions. Educational and Psychological Measurement, 34(1) (1974), 25-33. Doi: 10.1177/001316447403400104
[34] J.C. Nunnally, Psychometric theory, 2nd Ed., York: McGraw-Hill York: (1978).
[35] Fornell, D.F. Larcker, Evaluating structural equation models with unobservable variables and measurement error, Journal of marketing research, 18(1) (1981) 39-50.
[36] W.W.W. Chin, Commentary: Issues and opinion on structural equation modeling, in, JSTOR, 1998.
[37] J. Henseler, C.M. Ringle, R.R. Sinkovics, the use of partial least squares path modeling in international marketing, in:  New challenges to international marketing, Emerald Group Publishing Limited, 2009, pp. 277-319.
[38] M. Tenenhaus, S. Amato, V. Esposito Vinzi, a global goodness-of-fit index for PLS structural equation modelling, in:  Proceedings of the XLII SIS scientific meeting, 2004, pp. 739-742.
[39] H.C. Biggs, V.L. Sheahan, D.P. Dingsdag, Risk management and injury prevention: competencies, behaviors, and attitudes to safety in the construction industry, The Australian Journal of Rehabilitation Counselling, 13(2) (2007) 63-67.
[40] P. Azad, A. Barkhordari, A. Choobineh, B. kohnavard, M. barkhordari, Evaluation of Fatigue in Yazd Steel Industry Workers and Its Relation with Some Demographic Variables in 2014, Tolooebehdasht, 14(6) (2016) 87-97. )in Persian(
[41] M. Ghasemkhani, M.r. Monazam, M. Abbasinia, S. Mahmoodkhani, H. Aghaee, M. Asghari, S. Farhang, The assessment of fatigue and its relationship with Insomnia Severity among workers of rolling mills and steel production company, journal of Iran Occupational Health, 10(2) (2012) 79-86. (in Persian)
[42] O.-l. Siu, D.R. Phillips, T.-w. Leung, Safety climate and safety performance among construction workers in Hong Kong: The role of psychological strains as mediators, Accident Analysis & Prevention, 36(3) (2004) 359-366.
[43] G. Carter, S.D. Smith, Safety hazard identification on construction projects, Journal of construction engineering and management, 132(2) (2006) 197-205.
[44] Pandit, A. Albert, Y. Patil, A.J. Al-Bayati, Impact of safety climate on hazard recognition and safety risk perception, Safety science, 113 (2019) 44-53. 
Amirkabir Journal of Civil Engineering
Volume 53, Issue 8
November 2021
Pages 3299-3316

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