首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Data mining for occupational injuries in the Taiwan construction industry
Authors:Chia-Wen Liao  Yeng-Horng Perng
Institution:aNational Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei 106, Taiwan;bChina University of Technology, 56 Hsing-Lung Road, Section 3, Taipei 106, Taiwan
Abstract:There is a higher rate of occupational injury in the construction industry than most other industries on average. However, steps can be taken to reduce worker risk through effective injury prevention strategies. In this article, association rule mining is employed in identifying the characteristics of occupational injuries in the construction industry. Accident reports during the period 1999–2004 are extracted from case reports of the Northern Region Inspection Office of the Council of Labor Affairs of Taiwan. In addition to general factors, several factors related to weather conditions are included in this article. The results show that there are some patterns of occupational injuries in the construction industry. The effect of rain on the occurrence of fatalities is of great significance. Proposed inspection plans should be in accordance with the type of construction and environmental evaluation. The findings identified in this article provide a direction for more effective inspection strategies and injury prevention programs.
Keywords:Construction industry  Association rule  Occupational fatalities
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号