PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Applying Hierarchical Loglinear Models to Nonfatal Underground Coal Mine Accidents for Safety Management

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Underground mining is considered to be one of the most dangerous industries and mining remains the most hazardous occupation. Categorical analysis of accident records may present valuable information for preventing accidents. In this study, hierarchical loglinear analysis was applied to occupational injuries that occurred in an underground coal mine. The main factors affecting the accidents were defined as occupation, area, reason, accident time and part of body affected. By considering subfactors of the main factors, multiway contingency tables were prepared and, thus, the probabilities that might affect nonfatal injuries were investigated. At the end of the study, important accident risk factors and job groups with a high probability of being exposed to those risk factors were determined. This article presents important information on decreasing the number accidents in underground coal mines.
Rocznik
Strony
239--248
Opis fizyczny
Bibliogr. 19 poz., tab., wykr.
Twórcy
autor
  • Department of Mining Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey
autor
  • Department of Mining Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey
autor
  • Department of Mining Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey
Bibliografia
  • 1.Saleh JH, Cummings AM. Safety in the mining industry and the unfinished legacy of mining accidents: safety levers and defense-in-depth for addressing mining hazards. Saf Sci. 2011;49(6):764–77.
  • 2.Paul PS. Predictors of work injury in underground mines–an application of a logistic regression model. Mining Science and Technology (China). 2009;19(3):282–89.
  • 3.Kecojevic V, Komljenovic D, Groves W, Radomsky M. An analysis of equipmentrelated fatal accidents in U.S. mining operations: 1995–2005. Saf Sci. 2007;45(8):864–74.
  • 4.Komljenovic D, Groves WA, Kecojevic VJ. Injuries in U.S. mining operations—a preliminary risk analysis. Saf Sci. 2008;46(5):792–801.
  • 5.Donoghue AM. Occupational health hazards in mining: an overview. Occup Med (Lond). 2004;54(5):283–9. Retrieved May 21, 2014, from: http://occmed.oxfordjournals.org/content/54/5/283.full.pdf.
  • 6.Maiti J, Bhattacherjee A, Bangdiwala SI. Loglinear model for analysis of crosstabulated coal mine injury data. Inj Control Saf Promot. 2001;8(4):229–36.
  • 7.Jeong BY. Comparisons of variables between fatal and nonfatal accidents in manufacturing industry. Int J Ind Ergon. 1999;23(5–6):565–72.
  • 8.Türkiye İstatistik Kurumu [Turkish Statistical Institute]. 2006–2007 iş kazalari ve işe bağll sağlik problemleri araştirma sonuçlari [Results of the research on accidents at work and work-related health problems, 2006–2007]. 2007. Retrieved May 21, 2014, from: http://www.tuik.gov.tr/PreHaberBultenleri.do?id=3916.
  • 9.Sari M, Duzgun HSB, Karpuz C, Selcuk AS. Accident analysis of two Turkish underground coal mines. Saf Sci. 2004;42(8):675–90.
  • 10.Agresti A. An introduction to categorical data analysis. 2nd ed. Hoboken, NJ, USA: Wiley; 2007.
  • 11.Jeansonne A. Loglinear models. 2008. Retrieved May 21, 2014, from: http://online.sfsu.edu/~efc/classes/biol710/loglinear/Log%20Linear%20Models.pdf.
  • 12.Berry KF. The effect of missing data in the analysis of a bariatric surgery program [Bachelor of Arts thesis]. South Hadley, MA, USA: Mount Holyoke College; 2007. Retrieved May 21, 2014, from: https://ida.mtholyoke.edu/xmlui/bitstream/handle/10166/616/247.pdf?sequence=1.
  • 13.Zheng YP, Feng CG, Jing GX, Qian XM, Li XJ, Liu ZY, et al. A statistical analysis of coal mine accidents caused by coal dust explosions in China. Journal of Loss Prevention in the Process Industries. 2009;22(4):528–32.
  • 14.Wilson R, Crouch EAC. Risk assessment and comparisons: an introduction. Science. 1987;236(4799):267–70.
  • 15.Maiti J, Bhattacherjee A. Evaluation of risk of occupational injuries among underground coal mine workers through multinominal logit analysis. J Safety Res. 1999;30(2):93–101.
  • 16.Jansen JC, Brent AC. Reducing accidents in the mining industry—an integrated approach. Journal of the South African Institute of Mining and Metallurgy. 2005;105:719–25. Retrieved May 21, 2014, from: http://www.miningsafety.co.za/documents/reducing%20Mining%20Accidents.pdf.
  • 17.Maiti J, Bhattacherjee A. Predicting accident susceptibility: a logistic regression analysis of underground coal mine workers. Journal of the South African Institute of Mining and Metallurgy. 2001;203–08. Retrieved May 21, 2014, from: http://www.saimm. co.za/Journal/v101n04p203.pdf.
  • 18.Ghosh AK, Bhattacherjee A, Chau N. Relationships of working conditions and individual characteristics to occupational injuries: a case-control study in coal miners. J Occup Health. 2004;46(6):470–78.
  • 19.Sari M, Selcuk AS, Karpuz C, Duzgun HSB. Stochastic modeling of accident risks associated with an underground coal mine in Turkey. Saf Sci. 2009;47(1):78–87.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f94d3d7d-e226-4b1c-bf2e-c4a54eac5f07
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.