職災研究價值，在於有系統的將眾多類別文字描述之內容作整理、分類、歸納與編碼後建置完整職災資料庫，提供使用者依據其情境需求與目的，從眾多職災報告中挖掘出有價值的職災訊息與事故規則。營造業災害事故的成因與潛勢狀態，大多依循某一特定規則或情境條件而發生。為能具體探討台灣營造業總體職業災害之要因中所潛在的事故規則，本研究彙整1437筆重大職業災害報告(2000-2008年)，並透過資料探勘方法中的關聯規則與分類回歸樹，發現總體職災的發生主要集中於5百萬以下之民間建築工程；其中又以10人以下小企業發生墜落比例最多。而公共工程則集中於10-29人公司規模，承攬2.5億以上公路或橋梁工程期間發生墜落與物體倒(崩)塌情形為最多。此外，因承攬商未能落實勞工職前教訓練等安全管理工作，致使年齡為24歲以下與55歲以上之臨時工與模板工發生事故的間隔在一個月內比例甚高。期望本研究探勘結果將有助於台灣營造業實務現場之安全管理工作，有效控制台灣營造業總體職災千人率的上升。

The essence of construction accident research relies on the utilization of a complete database through systematic sorting, classification and encoding. For each given scenario, the causes and distribution for the occupational accidents in Taiwan construction industry can be explored by analyzing the database through data mining method. By reviewing 1437 accident cases during the period 2000-2008, this study used the Classification and Regression Tree (CART) and Association Rule to explore the potential cause-effect relationships and accidents rules in occupational accidents in Taiwan construction industry. The factors influencing occupational accident development on non-government building construction projects less than 5 million, and falls/tumbles was the major accident type, and this type of accidents mostly happened for the small enterprises (<10 people). The occupational accidents for the public projects occurred mostly when the projects were more than 2.5 hundred million, and falls/tumbles and collapse of object were the major accident types, and the occurred mostly for the middle enterprise (10-29 people). In addition, failing to implement the safety education to temporary workers and formworkers easily resulted in accident occurrence, especially for those workers with the ages less than 24 or more than 55. These accidents happened frequently within 1 month interval between worker arrivals at worksite. How to apply the results of accident rules to reducing the overall occurring rate of occupational accidents per 1000 persons in the construction industry, and to implement required health and safety practices and training effectively to ensure that all workers acknowledge and follow these requirements regulations are important for future research.

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