我校经济管理学院郭聖煜老师在T2级别期刊——《ENG CONSTR ARCHIT MA》上发表题为“Cause analysis of construction collapse accidents using association rule mining”。论文作者郭聖煜为经济管理学院副教授。

Abstract / 摘要：

Purpose The construction collapse is one of the most serious accidents since it has several attributes (e.g. accident type and consequence) and its occurrence involves various kinds of causal factors (e.g. human factors). The impact of causal factors on construction collapse accidents and the interrelationships among causal factors remain poorly explored. Thus, the purpose of this paper is to use association rule mining (ARM) for cause analysis of construction collapse accidents. Design/methodology/approach An accident analytic framework is developed to determine the accident attributes and causal factors, and then ARM is introduced as the method for data mining. The data are from 620 historical accident records on government websites of China from 2010 to 2020. Through the generated association rules, the impact of causal factors and the interrelationships among causal factors are explored. Findings Collapse accident is easily caused by human factors, material and machine condition and management factors. Furthermore, the results show a close interrelationship between many causal factors and construction scheme and organization. The earthwork collapse is greatly related to environmental condition and the scaffolding collapse is greatly related to material and machine condition. Practical implications This study found relevant knowledge about the key causes for different types of construction collapses. Besides, several suggestions are further provided for construction units to prevent construction collapse accidents. Originality/value This study uses data mining methods to extract knowledge about the causes of collapse accidents. The impact of causal factors on various types of construction collapse accidents and the interrelationships among causal factors are explained from historical accident data.

论文信息;

Title/题目:

Cause analysis of construction collapse accidents using association rule mining

Authors/作者:

Lijia Shao, Shengyu Guo, Yimeng Dong, Hongying Niu, Pan Zhang

Keywords /关键词

Construction collapse Cause analysisAssociation rule Accident prevention Knowledge discovery

DOI: 10.1108/ECAM-11-2021-0991

全文链接：https://www.emerald.com/insight/content/doi/10.1108/ECAM-11-2021-0991/full/html