Volume 8, Issue 3 (Summer 2019)                   J Occup Health Epidemiol 2019, 8(3): 148-155 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

ElahiShirvan H, Zare S, Gharanjik E, Matin A, Bateni M, Hasanvand D et al . Risk assessment and identification of accident points at a highway construction site and drawing Safety Contour Maps (Southeastern Iran, 2019). J Occup Health Epidemiol 2019; 8 (3) :148-155
URL: http://johe.rums.ac.ir/article-1-356-en.html

Related article in
Google Scholar

1- MSc in Occupational Health, Students’ Research Committee, Kerman University of Medical Sciences, Kerman, Iran.
2- Assistant Prof., Department of Occupational Health, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
3- BSc in Occupational Health, School of Public Health, North Khorasan University of Medical Sciences, North Khorasan, Iran.
4- Associate Prof., Department of Occupational Health, Students’ Research Committee, Kerman University of Medical Sciences, Kerman, Iran. , ghotbi@kmu.ac.ir
Article history
Received: 2019/07/29
Accepted: 2019/10/13
ePublished: 2020/04/11
Abstract:   (2827 Views)
Background:The number of occupational safety incidents has been a major concern in terms of human, economic, and legal considerations. Risk assessment is a logical method for the assessment of risks, which specifies risks and their potential implications for individuals, materials, equipment, and the environment. This study aims to identify both risks and risk assessment methods at a highway construction site using the FMEA method and by drawing safety contour maps, making use of ArcGIS 10.2.
Materials and Methods: This study was conducted in 9 general steps, including 1. Reviewing demographic data, 2. Identifying human risks, 3. Identifying risk causes, 4. Identifying risk effects, 5. Determining the severity and occurrence of risks, 6. Rating risks, 7. Controlling risks, 8. Entering the coordinates and RPNs of occupations for each location in ArcGIS, and 9. Drawing safety contour maps using ArcGIS 10.2. The mean and standard deviation of the data were reported using SPSS Statistics V 22.0.
Results: At the site of this study, 62.97% of the units had moderate risks, and the rest had low risks (37.03%). The highest RPNs were for light machines and asphalt rollers with the values of 42.91 and 41.3, respectively. In contrast, the lowest RPNs were obtained for the laboratory and the water supply plant.
Conclusions: Most of the site units had moderate risks, so it is expected that the risk of the units would be minimized by implementing the recommendations.
Full-Text [PDF 379 kb]   (1113 Downloads) |   |   Full-Text (HTML)  (784 Views)  

References
1. Fontaneda I, Camino López MA, Gonzalez Alcántara OJ, Ritzel DO. Gender differences in lost work days due to occupational accidents. Saf Sci 2019; 114:23-9. [DOI]
2. Pietilä J, Räsänen T, Reiman A, Ratilainen H, Helander E. Characteristics and determinants of recurrent occupational accidents. Saf Sci 2018; 108:269-77. [DOI]
3. Sanmiquel L, Bascompta M, Rossell JM, Anticoi HF, Guash E. Analysis of occupational accidents in underground and surface mining in Spain using data-mining techniques. Int J Environ Res Public Health 2018; 15(3):462. [DOI] [PMID] [PMCID]
4. Sarkar S, Vinay S, Raj R, Maiti J, Mitra P. Application of optimized machine learning techniques for prediction of occupational accidents. Comput Oper Res 2019; 106:210-24. [DOI]
5. Ghamari F, Mohammadfam I, Mohammadbeigi A, Ebrahimi H, Khodayari M. Determination of effective risk factors in incidence of occupational accidents in one of the large metal industries, Arak (2005-2007). Iran Occupational Health Journal 2013; 9(4):89-96. [Article]
6. Alli BO. Fundamental principles of occupational health and safety. 2nd ed. Geneva, Switzerland: International Labour Organization; 2008.
7. Komaki J, Barwick KD, Scott LR. A behavioral approach to occupational safety: pinpointing and reinforcing safe performance in a food manufacturing plant. J Appl Psychol 1978; 63(4):434-45. [DOI] [PMID]
8. Mohammadfam I, Fatemi F. Evaluation of the relationship between unsafe acts and occupational accidents in a vehicle manufacturing. Iran Occupational Health Journal 2008; 5(3 and 4):44-50. [Article]
9. Mehdad A, Rahimi R, Atashpour SH. Comparison of occupational stress and occupational accidents frequency among off shore and onshore oil industry employees. Journal of Social Psychology 2011; 6(19):53-63. [Article]
10. Isla Dı́az R, Dı́az Cabrera D. Safety climate and attitude as evaluation measures of organizational safety. Accid Anal Prev 1997; 29(5):643-50. [DOI] [PMID]
11. Nori I, Meftahi H, Jamshidi S. A survey of the effects of working conditions, job relations and attitude towards safety on job accidents and unsafe work behaviors. Journal of Industrial Management 2011; 6(15):53-67. [Article]
12. Ostadi Moghadam H, Yekta AA, Heravian Shandiz J, Fahoul MJ, Afsharnia M. Prevalence and etiology of occupational eye accidents in Mashad industrial’s workshop. Journal of Rehabilitation 2004; 5(4):53-7. [Article]
13. Mortazavi B, Mahdavi S, Asilian H, Arghami S, Gholamnia R. Identification and assessment of human errors in SRP unit of control room of Tehran Oil Refinery using HEIST technique (2007). Journal of Kermanshah University of Medical Sciences 2008; 12(3):e79969. [Article]
14. Al-Abdallat EM, Oqailan AM, Al Ali R, Hudaib AA, Salameh GA. Occupational fatalities in Jordan. J Forensic Leg Med 2015; 29:25-9. [DOI] [PMID]
15. Anyim FC, Ufodiama NM, Ekwoaba JO. Effective Health and Safety Management Programme: A Lubricant for Improving Working Conditions and Performance. Nigerian Journal of Management Studies 2013; 11(1/2):105-21. [Article]
16. Nivolianitou Z. Risk analysis and risk management: a European insight. Law, Probab Risk 2002; 1(2):161-74. [DOI]
17. Puente J, Pino R, Priore P, de la Fuente D. A decision support system for applying failure mode and effects analysis. International Journal of Quality & Reliability Management 2002; 19(2):137-50. [DOI]
18. Stamatis DH. Failure mode and effect analysis: FMEA from theory to execution. 1st ed. Milwaukee, Wisconsin, United States: American Society for Quality (ASQ) Press; 2003.
19. Rhee SJ, Ishii K. Using cost based FMEA to enhance reliability and serviceability. Advanced Engineering Informatics 2003; 17(3-4):179-88. [DOI]
20. Pickard K, Muller P, Bertsche B. Multiple failure mode and effects analysis-an approach to risk assessment of multiple failures with FMEA. Paper presented at: Annual Reliability and Maintainability Symposium; 2005 Jan 24-27; Alexandria, VA, USA, USA.
21. Xiao N, Huang H-Z, Li Y, He L, Jin T. Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Eng Fail Anal 2011; 18(4):1162-70. [Article] [DOI]
22. Chang AY, Parrales ME, Jimenez J, Sobieszczyk ME, Hammer SM, Copenhaver DJ, et al. Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries. Int J Health Geogr 2009; 8(1):49. [DOI] [PMID] [PMCID]
23. Mohammadfam I, Movafagh M, Soltanian A, Salavati M, Bashirian S. Assessment of human errors in the intensive cardiac care unit nursing profession using the SPAR-H. Tibbi-i-Kar 2015; 7(1):10-22. [Article]
24. Lotfolahzadeh A, Miri Lavasani M, Dehghani A. Risk Assessment and Determination of Insurance Rate by FMEA Method-Case Study in a Cement Factory. Occupational and Environmental Health 2017; 2(4):311-22 [Article]
25. Ghaljahi M, Namrudi Sh. Identification and assessment of hazard risks in a flour mill by the JSA and FMEA methodology. Journal of Health Research in Community 2017; 3(3):82-9 [Article]
26. Hosseini H, Dana T, Arjmandi R, Shirianpour I. Safety and Occupational Health Risk Management in construction phase of oil field and presenting Management strategies improve (Case study construction phase of platform’s Reheat oil field). Human & Environment 2012; 10(22):39-67. [Article]
27. Ebrahimzadeh M, Halvani GH, Mortazavi M, Soltani R. Assessment of Potential Hazards by Failure Modes and Effect Analysis (FMEA) Method in Shiraz Oil Refinery. Tibbi-i-Kar 2011; 3(2):16-23. [Article]
28. Mirmohammadi T, Naseripouya Z, Hosseinalipour Z. Risk factors assessment in educational equipment manufacturers company using FMEA. Journal of Health Research in Community 2016; 2(2):9-18. [Article]
29. Vazdani S, Sabzghabaei GhR, Dashti S, Cheraghi M, Alizadeh R, Hemmati A. Application of FMEA model for environmental, safety and health risks assessment of gas condensates storage tanks of parsian gas refining company in 2016. Journal of Rafsanjan University of Medical Sciences 2018; 17(4):345-58. [Article]
30. Shoja E, Ebrahimian H, Gharaee M, Mehri M, Elahi H, Mollaei R. Assessment and Mapping of Ultraviolet Radiation (UV-A) in a Workplace Environment of a Steel Industry. Journal of North Khorasan University of Medical Sciences 2018; 9(3):330-5. [DOI]
31. Zare S, Hasheminejad N, Elahi Shirvan H, Hasanvand D, Hemmatjo R, Ahmadi S. Assessing Individual and Environmental Sound Pressure Level and Sound Mapping in Iranian Safety Shoes Factory. Romanian Journal of Acoustics and Vibration 2018; 15(1):20-5. [Article]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

2024 CC BY 4.0 | Journal of Occupational Health and Epidemiology

Designed & Developed by : Yektaweb