Using association rules to investigate causality patterns of safety-related incidents in the construction industry

被引：0
|
作者：
Mohajeri M. [1 ]
Ardeshir A. [1 ]
Banki M.T. [1 ]
机构：
[1] Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran
来源：
Scientia Iranica | 2022年 / 29卷 / 2 E期
关键词：
Association rule; Construction; Data mining; Occupational accidents; Safety management;
D O I：
10.24200/SCI.2020.53161.3085
中图分类号：
学科分类号：
摘要：
The objective of this study is to investigate causality patterns of safety-related incidents in the construction industry. Although there are many studies on finding causeand- effect relationships in the accident database, retrieving useful knowledge from the last database and taking additional variables into account are needed. Therefore, the present study utilized the association rule method to investigate a significant scope of historical accident data in Iran's construction industry in the years 2014-2017. Based on results of association rules, the combination of worker's individual and behavioral factors and supervisory conditions are related to serious accidents. These results can provide practical insights for construction managers who need to be more concerned about the negative impact of the combination of some factors on serious construction accidents. © 2022 Sharif University of Technology. All rights reserved.
引用
收藏
页码：929 / 939
页数：10
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