Analysis of Occupational Accidents in Taiwans Public Construction Projects
This study aimed to statistically analyzing the occurrence for 528 occupational accidents in public construction projects. The information for these cases were taken from 1,167 reports of major occupational accidents and fatalities recorded by the Council of Labor Affairs from 2000 to 2006. This study applied data mining methods to exploring potential rules behind the data The method of decision tree classification was used to find the information concerning causal implicit relationships among the data and their rules of accident occurrence. In this study, it is found that an unsafe working environment, unsafe individual behavior, and safety management shortcomings are the main causes for occupational accidents. The result also revealed that occupational accidents tend to occur often in building construction projects (48％). Falls, which mostly occur when the persons body is moving horizontally (55％), are the most common type of accident (50％). The source of injury is commonly associated with the height of structures and construction facilities (e.g., scaffolds, openings, etc.) (57％). The result from this study may be regarded as a guidance for the implementation of key safety measures during public construction projects.
public construction occupational accident data mining classification and regression tree safety management
Ching-Wu CHENG Sou-Sen LEU Chen-Chung LIN Chihhao FAN Ying-Mei CHENG
Mingchi University of Technology, 84 Gungjuan Rd., Taishan, Taipei 243, Taiwan, China National Taiwan University of Science and Technology, 43 Keelung Rd., Section 4, Taipei 106, Taiwan, Institute of Occupational Safety and Health, No.99, Lane 407, Hengke Rd., Sijhih City.Taipei 221, Ta Department of Civil Engineering, China University of Technology, 56 Hsing-Lung Rd., Section 3, Taipe
国际会议
The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)
杭州
英文
2287-2298
2010-10-26（万方平台首次上网日期，不代表论文的发表时间）