Flow diagram analysis of electrical fatalities in construction industry

The current study reanalyzed 250 electrical fatalities in the construction industry from 1996 to 2002 into seven patterns based on source of electricity (power line, energized equipment, improperly installed or damaged equipment), direct contact or indirect contact through some source of injury (boom vehicle, metal bar or pipe, and other conductive material). Each fatality was coded in terms of age, company size, experience, performing tasks, source of injury, accident cause and hazard pattern. The Chi-square Automatic Interaction Detector (CHAID) was applied to the coded data of the fatal electrocution to find a subset of predictors that might derive meaningful classifications or accident scenarios. A series of flow diagrams was constructed based on CHAID result to illustrate the flow of electricity traveling from electrical source to human body. Each of the flow diagrams can be directly linked with feasible prevention strategies by cutting the flow of electricity.

[1]  Chia-Fen Chi,et al.  Accident patterns and prevention measures for fatal occupational falls in the construction industry. , 2005, Applied ergonomics.

[2]  Denise M. Oleske,et al.  An epidemiologic evaluation of the injury experience of a cohort of automotive parts workers: A model for surveillance in small industries , 1989 .

[3]  M Rossignol,et al.  Classification of fatal occupational electrocutions. , 1994, Canadian journal of public health = Revue canadienne de sante publique.

[4]  I. Svedung,et al.  Graphic representation of accident scenarios: mapping system structure and the causation of accidents , 2002 .

[5]  Chia-Fen Chi,et al.  Reanalyzing occupational fatality injuries in Taiwan with a model free approach , 2003 .

[6]  Hj Norussis,et al.  SPSS for Windows , 1993 .

[7]  Chia-Fen Chi,et al.  In-depth accident analysis of electrical fatalities in the construction industry , 2009 .

[8]  Charles F. Dalziel.  Controlling electrical hazards , 1947, Electrical Engineering.

[9]  Michel Rossignol,et al.  Inter-rater analysis of a classification scheme of occupational fatalities by electrocution , 1994 .

[10]  Philip Hans Franses,et al.  Evaluating chi-squared automatic interaction detection , 2006, Inf. Syst..

[11]  Antonio Puliafito,et al.  DFT and DRBD in Computing Systems Dependability Analysis , 2007, SAFECOMP.

[12]  H.M.O. Pratt.  High Strength Insulator , 2007, 2007 IEEE International Conference on Solid Dielectrics.

[13]  G.T. Homce,et al.  An alarm to warn of overhead power line contact by mobile equipment , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[14]  E. Hollnagel,et al.  What-You-Look-For-Is-What-You-Find - The consequences of underlying accident models in eight accident investigation manuals , 2009 .

[15]  C. D. Halevidis,et al.  Contact of heavy vehicles with overhead power lines , 2011 .

[16]  C A Janicak.  Occupational fatalities caused by contact with overhead power lines in the construction industry. , 1997, Journal of occupational and environmental medicine.

[17]  Gilbert M. Masters,et al.  Renewable and Efficient Electric Power Systems , 2004 .