RESEARCH PAPER
Health Behaviours in Scaffold Use Risk Assessment Model – SURAM
 
More details
Hide details
1
Institute of Rural Health, Lublin, Poland
2
CIICESI, ESTG, Politécnico do Porto, Portugal
3
University of Technology, Lublin, Poland
 
KEYWORDS:
TOPICS:
ABSTRACT:
Introduction:
Problems concerning occupational safety and health are commonly found in the construction industry, including falling materials, tools or people from a height, stepping on objects, and injuries caused by hand tools. An important factor in occupational safety in the construction industry is the use of scaffolds. All scaffolds used in construction, renovation, repair (including isolating, painting and decorating) and demolition, should be erected, maintained and dismantledin accordance with safety procedures. Therefore, it is crucial to deal with the safety of scaffolds and risk assessment in the construction industry; thus, the way of undertaking the assessment and the liability of assessment seems to be essential for professionals. However, it has been found that those professionals are prone to rely heavily on their own experience and knowledge in decision-making regarding risk assessment.

Material and methods:
The Scaffold Use Risk Assessment Model (SURAM) has been developed for assessing risk levels at various stages of the construction process in various work trades. The SURAM is the result of a research project carried out at 60 construction sites in Poland and Portugal where 504 observations have been completed including both harmful physical and chemical factors, stress level, workers’ habits, as well as a hundreds ex-post reconstruction of construction accidents scenarios.

Results:
It was found that the workers’ Health Behaviour Index (HBI) seems to be a more direct predictor for development of the unsafe chain of events leading to an accident than the workload, and concentration of harmful factors at the workplace.

Conclusions:
The developed HBI module of SURAM seems to be beneficial for predicting high-risk construction activities, and thus preventing the occurrence of accidents, based on a set of historical accident data.

CORRESPONDING AUTHOR:
Hubert Bojar   
Institute of Rural Health, Lublin, Poland
 
REFERENCES (25):
1. Dabrowski A. An investigation and analysis of safety issues in Polish small construction plants. Int J Occup Saf Ergon. 2015; 21(4): 498–511. doi:10.1080/10803548.2015.1085206.
2. Forteza FJ, Carretero-Gómez JM, Sesé A. Occupational risks. accidents on sites and economic performance of con-struction firms. Safety Sci. 2017; 94: 61–76.
3. Törner M, Pousette A. Safety in construction a comprehensive description of the characteristic of high safety standards in construction work. from the combined perspective of supervisors and experienced workers. J Safety Res. 2009; 40(6): 399–409.
4. Gao R, Chan APC, Utama WP, Zahoor H. Multilevel safety climate and safety performance in the construction industry: Development and validation of a top-down mechanism. Int J Environ Res Public Health. 2016; 13(11). art. no. 1100.
5. Behm M. Linking construction fatalities to the design for con-struction safety concept. Safety Sci. 2005; 43(8): 589 611.
6. Namian M, Albert A, Zuluaga CM, Behm M. Role of safety training: Impact on hazard recognition and safety risk perception. J Constr Eng Manag. 2016; 142(12).
7. Pingani L, Evansacko S, Luciano M, Del Vecchio V, Ferrari S, Sampogna G, et al. Psychometric validation of the Italian version of the Reported and Intended Behaviour Scale (RIBS). Epidemiol Psychiatr Sci. 2016; 25(5): 485–492.
8. Allen K, Reed-Rhoads T, Terry RA, Murphy TJ, Stone AD. Coefficient alpha: An engineer’s interpretation of test reliability. J Eng Educ. 2008; 97(1): 87–94.
9. Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis with reading. 5 th Ed. Englewood Cliffs. NJ. USA: Prentice Hall.1998.
10. Saga R, Fujita T, Kitami K, Matsumoto K. Improvement of factor model with text information based on factor model construction process. Frontiers in Artificial Intelligence and Applications 2013; 254: 222–230.
11. Seo H-C, Lee Y-S, Kim J-J, Jee N-Y. Analyzing safety behaviors of temporary construction workers using structural equation modeling. Safety Sci. 2015; 77. https://doi.org/10.1016/j.ssci....
12. Kim H, Kim K, Kim H. Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects. J Comp Civ Eng. 2016; 30(4): 4015075. https://doi.org/10.1061/(ASCE)....
13. Buica G, Antonov AE, Beiu C, Pasculescu D, Remus D. Occupational health and safety management in construc-tion sector -The cost of work accidents. Quality – Access to Success; 2017: 18: 35–40.
14. Lin S-H, Wang Z-M, Tang W-J, Liang L-H, Wang M-Z, Lan Y-J. Development of safety climate measurement at workplace: Validity and reliability assessment. Journal of Sichuan University (Medical Science Edition) 2007: 38(4): 720–724.
15. Mohammadfa I, Ghasemi F, Kalatpour O, Moghimbeigi A. Constructing a Bayesian network model for improving safety behavior of employees at workplaces. Appl Ergon. 2017; 58: 35–47.
16. Mitropoulos PT, Cupido G. The role of production and team work practices in construction safety: a cognitive model and an empirical case study. J Safety Res. 2009; 40(4): 265 275.
17. Ho DCK, Duffy VG, Shih HM. An empirical analysis of effective TQM implementation in the Hong Kong electronics manufacturing industry. Human Factors & Ergonomics in Manufacturing 1999; 9(1): 1 25.
18. Amiri M, Ardeshir A, Fazel Zarandi MH. Fuzzy probabilistic expert system for occupational hazard assessment in construction. Safety Sci. 2017; 93: 16–28.
19. Liao P-C, Lei G, Xue J, Fang D. Influence of person-organizational fit on construction safety climate. J Manag Eng. 2015; 31(4). https://doi.org/10.1061/(ASCE)....
20. Molina ML, Lloréns-Montes J, Ruiz-Moreno A. Relationship between quality management practices and knowledge transfer. J Oper Manag. 2007; 25(3): 682 701.
21. Rubio-Romero JC, Carrillo-Castrillo JA, Gibb A. Prevention of falls to a lower level: evaluation of an occupational health and safety intervention via subsidies for the replacement of scaffolding. Int J Inj Contr Saf Promot. 2015; 22 (1): 16–23.
22. Carrillo-Castrillo JA, Rubio-Romero JC, Onieva L, López-Arquillos A. The Causes of Severe Accidents in the Andalusian Manufacturing Sector: The Role of Human Factors in Official Accident Investigations. Human Factors and Ergonomics in Manufacturing & Service Industries 2016; 26(1): 68–83. https://doi.org/10.1002/hfm.20....
23. Choudhry RM. Behavior-based safety on construction sites: A case study. Accid Anal Prev. 2014; 70: 14–23.
24. Fruchter R, Cavallin H. Attention and engagement of remote team members in collaborative multimedia environments Congress on Computing in Civil Engineering. Proceedings. 2011; 875–882.
25. López Arquillos A, Rubio Romero JC, Gibb A. Analysis of construction accidents in Spain 2003–2008. J Saf Res. 2012; 43(5–6): 381–388. https://doi.org/10.1016/j.jsr.....
eISSN:1898-2263
ISSN:1232-1966