Article ID Journal Published Year Pages File Type
572589 Accident Analysis & Prevention 2012 9 Pages PDF
Abstract

Construction accident research involves the systematic sorting, classification, and encoding of comprehensive databases of injuries and fatalities. The present study explores the causes and distribution of occupational accidents in the Taiwan construction industry by analyzing such a database using the data mining method known as classification and regression tree (CART). Utilizing a database of 1542 accident cases during the period 2000–2009, the study seeks to establish potential cause-and-effect relationships regarding serious occupational accidents in the industry. The results of this study show that the occurrence rules for falls and collapses in both public and private project construction industries serve as key factors to predict the occurrence of occupational injuries. The results of the study provide a framework for improving the safety practices and training programs that are essential to protecting construction workers from occasional or unexpected accidents.

► Data mining explored the factors and occurrence rules crucial to the occurrence of serious occupational injuries in Taiwan's construction industry. ► The results of this study show that the occurrence rules for falls and collapses in both public and private project construction industries. ► The results of this study provide a framework for improving the safety practices and training programs.

Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Health and Safety
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