Electrical fatality accounted for 14.6% of all fatal accidents and was the second leading cause of occupational fatality in Taiwan following the fall fatalities. A model is needed to represents the scenario of real electrocution case and can be used as a tool for implement prevention measures. The current study reanalyzed 250 work-related single fatalities of electrocution in construction industry from 1996 to 2002. Using the coding scheme from Chi, et al. (2009), 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 search through the selected predictor variables and find a subset of predictors that might derive meaningful classifications or accidents patterns. Sources of injury being identified as the “best” or most critical predictor which merged total population in the format of hazard pattern into the nine different groups (nodes). A series of Flow Diagrams constructed based on CHAID result to illustrate the flow of electricity travelling from electrical source to human body. The flow could be through an intermediary object or directly to human body part. Cause of accident incorporated into the diagram by adopting the failure in reliability block diagram. The Flow Diagram can then be used to implementing barriers by cutting the trace between electrical source and victim.

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