National Changhua University of Education Institutional Repository : Item 987654321/16663
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题名: Applying Data Mining Techniques to Explore Factors Contributing to Occupational Injuries in Taiwan’s Construction Industry
作者: Cheng, Ching-Wu;Leu, Sou-Sen;Cheng, Ying-Mei;Wu, Tsung-Chih;Lin, Chen-Chung
贡献者: 工業教育與技術學系
关键词: Construction industry;Occupational accidents;Data mining;Safety management;Data analysis
日期: 2012-09
上传时间: 2013-06-05T07:24:22Z
出版者: Elsevier
摘要: 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.
關聯: Accident Analysis and Prevention, 48: 214-222
显示于类别:[工業教育與技術學系] 期刊論文

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