The construction industry has been identified as one of the most hazardous industries. The risk of constructionrelated
workers is far greater than that in a manufacturing based industry. However, some steps can be taken to reduce
worker risk through effective injury prevention strategies. In this article, k-means clustering methodology is employed in
specifying the factors related to different worker types and in identifying the patterns of industrial occupational
accidents. Accident reports during the period 1998 to 2008 are extracted from case reports of the Northern Region
Inspection Office of the Council of Labor Affairs of Taiwan. The results show that the cluster analysis can indicate some
patterns of occupational injuries in the construction industry. Inspection plans should be proposed according to the type
of construction-related workers. The findings provide a direction for more effective inspection strategies and injury
prevention programs.
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