Scenario Analysis and Prevention of Construction Related Electrical Shock Harzards

• Main Authors: Kuo Tsung-Min, 郭聰明
• Other Authors: 林利國
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/56u9fu

博士 === 國立臺北科技大學 === 工程學院工程科技博士班 === 103 === Taiwan’s construction industry has consistently ranked highest in the total number of occupational hazards occured, with electrical shock being the second leading cause of injuries and fatalities after falls. This study looks at a total of 160 construction-related electrical shock incidents and selects 120 cases based on observable reporting measures from the period of 2000 to 2013, and divides them into eight different accident patterns. The study applies the Chi-squared Automatic Interaction Detection (CHAID) technique to detect various predictive factors to the observed outcomes. The result from CHAID analysis is used to construct the electrical accident scenario path that is combined with path analysis and Reliability Block Diagram (RBD) to provide a real life illustration of the accident scenario. The study tabulated and analyzed 120 cases of electric shock accidents, and found that accidents occur with significant intermittence for the time periods between 9:00 AM – 10:00 AM (with a total of 15 such cases, representing 12.5% of all incidents) and 4:00 PM – 5:00 PM (with a total of 20 such cases, representing 16.7% of all incidents). Further analysis based on day of week and seasonality revealed Monday and Friday to be the peak in the occurrence of incidents. Inattentiveness of workers due to the weekend-priming effect, coupled with a more relaxed atmosphere before and after the workday may be considered as psychological bases underlying this phenomenon. In order for preventative measures to be effective, special attention is needed in regards to the time periods close to the weekends, as well as the beginnings and ends of the workday. Where overlaps may occur, particularly for the high-risk intervals for potential hazard that were discussed (9:00 AM – 10:00 AM, 4:00 PM – 5:00 PM, Monday and Friday), authorities in charge of disaster-prevention should employ strict guidelines and additional training targeted to the prevention of such incidents. This study classifies each case and apply CHAID analysis of the casual relationship between the elements to derive the number one factor (vehicle) and number two factor(Cause of electrical shock) to construct the electrical accident scenario path in helping to create preventive measures and intercepting the flow of electricity leading up to the shock.