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首页> 外文期刊>International Journal of Injury Control and Safety Promotion >Pattern extraction for high-risk accidents in the construction industry: a data-mining approach
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Pattern extraction for high-risk accidents in the construction industry: a data-mining approach

机译：建筑行业中高风险事故的模式提取：一种数据挖掘方法

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摘要

Accidents involving falls and falling objects (group I) are highly frequent accidents in the construction industry. While being hit by a vehicle, electric shock, collapse in the excavation and fire or explosion accidents (group II) are much less frequent, they make up a considerable proportion of severe accidents. In this study, multiple-correspondence analysis, decision tree, ensembles of decision tree and association rules methods are employed to analyse a database of construction accidents throughout Iran between 2007 and 2011. The findings indicate that in group I, there is a significant correspondence among these variables: time of accident, place of accident, body part affected, final consequence of accident and lost workdays. Moreover, the frequency of accidents in the night shift is less than others, and the frequency of injury to the head, back, spine and limbs are more. In group II, the variables time of accident and body part affected are mostly related and the frequency of accidents among married and older workers is more than single and young workers. There was a higher frequency in the evening, night shifts and weekends. The results of this study are totally in line with the previous research.
机译：涉及坠落和坠落物体的事故（第一类）是建筑行业中非常频繁的事故。当被车辆撞击时，触电，挖掘中的倒塌以及火灾或爆炸事故（第二类）的发生频率要低得多，它们构成了严重事故的相当一部分。在这项研究中，采用多函分析，决策树，决策树集成和关联规则方法分析了2007年至2011年整个伊朗的建筑事故数据库。研究结果表明，在第一组中，第一组之间存在显着的对应关系。这些变量：事故发生时间，事故发生地点，受影响的身体部位，事故的最终后果和工作日损失。此外，夜班中发生事故的频率比其他情况少，头部，背部，脊椎和四肢受伤的频率更高。在第二组中，事故时间和受影响的身体部位的变量主要相关，并且已婚和年长工人的事故发生频率高于单身和年轻工人。晚上，夜班和周末的频率较高。这项研究的结果与以前的研究完全一致。

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