1. Zhang Y, Shao W, Zhang M, Li H, Yin S, Xu Y. Analysis 320 coal mine accidents using structural equation modeling with unsafe conditions of the rules and regulations as exogenous variables. Accid Anal Prev 2016;92:189-201. PMID:
27085591
2. Geng F, Saleh JH. Challenging the emerging narrative: critical examination of coalmining safety in China, and recommendations for tackling mining hazards. Saf Sci 2015;75:36-48.
4. Fernández-Muñiz B, Montes-Peón JM, Vázquez-Ordás CJ. Occupational accidents and the economic cycle in Spain 1994-2014. Saf Sci 2018;106:273-84.
7. Onder M, Onder S, Adiguzel E. Applying hierarchical loglinear models to nonfatal underground coal mine accidents for safety management. Int J Occup Saf Ergon 2014;20:239-248. PMID:
24934420
8. Feng Y, Teo EA, Ling FY, Low SP. Exploring the interactive effects of safety investments, safety culture and project hazard on safety performance: an empirical analysis. Int J Proj Manag 2014;32:932-943.
9. Haslam RA, Hide SA, Gibb AG, Gyi DE, Pavitt T, Atkinson S, et al. Contributing factors in construction accidents. Appl Ergon 2005;36:401-415. PMID:
15892935
10. Oliver A, Cheyne A, Tomás JM, Cox S. The effects of organizational and individual factors on occupational accidents. J Occup Organ Psychol 2002;75:473-488.
11. Salminen S. Have young workers more injuries than older ones? An international literature review. J Safety Res 2004;35:513-521. PMID:
15530925
12. Onder S. Evaluation of occupational injuries with lost days among opencast coal mine workers through logistic regression models. Saf Sci 2013;59:86-92.
14. Nielsen TD, Jensen FV. Bayesian networks and decision graphs. New York: Springer-Verlag New York; 2007. p 33-45.
15. de Oña J, Mujalli RO, Calvo FJ. Analysis of traffic accident injury severity on Spanish rural highways using Bayesian networks. Accid Anal Prev 2011;43:402-411. PMID:
21094338
16. Huang H, Chin HC, Haque MM. Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis. Accid Anal Prev 2008;40:45-54. PMID:
18215531
17. Soltanzadeh A, Mohammadfam I, Moghimbeygi A, Ghiasvand R. Exploring causal factors on the severity rate of occupational accidents in construction worksites. Int J Civ Eng 2017;15:959-965.
18. Coleman PJ, Kerkering JC. Measuring mining safety with injury statistics: lost workdays as indicators of risk. J Safety Res 2007;38:523-533. PMID:
18023637
19. Ghasemi F, Kalatpour O, Moghimbeigi A, Mohammadfam I. Selecting strategies to reduce high-risk unsafe work behaviors using the safety behavior sampling technique and Bayesian network analysis. J Res Health Sci 2017;17:e00372. PMID:
28413170
20. Mirzaei Aliabadi M, Aghaei H, Kalatpour O, Soltanian AR, Nikravesh A. Analysis of human and organizational factors that influence mining accidents based on Bayesian network. Int J Occup Saf Ergon 2018;1-8.
21. Korb KB, Nicholson AE. Bayesian artificial intelligence. 2nd ed. Boca Raton: CRC Press; 2010. p 463.
22. Nouri J, Azadeh A, Mohammad Fam I. The evaluation of safety behaviors in a gas treatment company in Iran. J Loss Prev Process Ind 2008;21:319-325.
23. Mohammadfam 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. PMID:
27633196
24. Kowalski-Trakofler KM, Barrett EA. The concept of degraded images applied to hazard recognition training in mining for reduction of lost-time injuries. J Safety Res 2003;34:515-525. PMID:
14733985
25. Ren J, Jenkinson I, Wang J, Xu DL, Yang JB. A methodology to model causal relationships on offshore safety assessment focusing on human and organizational factors. J Safety Res 2008;39:87-100. PMID:
18325420
27. Ghasemi F, Mirzaei M, Mahdinia M, Darvishi E, Shahidi R. The role of personal commitment to safety in shaping safety performance of front-line employees: a case study in small manufacturing industries. J Ergon 2018;6:16-23 (Persian).
28. Namian M, Albert A, Zuluaga CM, Jaselskis EJ. Improving hazard-recognition performance and safety training outcomes: integrating strategies for training transfer. J Constr Eng Manag 2016;142:04016048.
29. Kemmlert K, Lundholm L. Slips, trips and falls in different work groups - with reference to age and from a preventive perspective. Appl Ergon 2001;32:149-153. PMID:
11277507
30. Soltanzadeh A, Mohammadfam I, Moghimbeigi A, Akbarzadeh M. Analysis of occupational accidents induced human injuries: a case study in construction industries and sites. J Civ Eng Constr Technol 2016;7:1-7.
31. Tam CM, Zeng SX, Deng ZM. Identifying elements of poor construction safety management in China. Saf Sci 2004;42:569-586.
32. Mearns K, Rundmo T, Flin R, Gordon R, Fleming M. Evaluation of psychosocial and organizational factors in offshore safety: a comparative study. J Risk Res 2004;7:545-561.
33. Abdelhamid TS, Everett JG. Identifying root causes of construction accidents. J Constr Eng Manag 2000;126:52-60.