Chen, Q; Tian, Z; Lei, T and Huang, S (2023) An association rule mining model for evaluating the potential correlation of construction cross operation risk. Engineering, Construction and Architectural Management, 30(10), pp. 5109-5132. ISSN 0969-9988
Abstract
Purpose: Cross operation is a common operation method in the building construction process nowadays. Due to the crossover, each other's operations are disturbed, and risks also interact. This superimposed relationship of risks is worthy of attention. The study aims to develop a model for analyzing cross-working risks. This model can quantify the correlation of various risk factors. Design/methodology/approach: The concept of cross operation and the cross types involved are clarified. The risk factors were extracted from cross-operation accidents. The association rule mining (ARM) was used to analyze the results of various cross-types accidents. With the help of visualization tools, the intensity distribution and correlation path of the relationship between each factor were obtained. A complete cross-operation risk analysis model was established. Findings: The application of ARM method proves that there are obvious risk correlation deviations in different types of cross operations. A high-frequency risk common to all cross operations is on-site safety inspection and process supervision, but the subsequent problems are different. Cutting off the high-lift risk chain timely according to the results obtained by ARM can reduce or eliminate the danger of high-frequency risk factors. Originality/value: This is the first systematic analysis of cross-work risk in the construction. The study determined the priority of risk management. The results contribute to targeted cross-work control to reduce accidents caused by cross-work.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | accident causes; association rules; construction safety; cross operation; data mining |
| Index terms: | building construction, methodology, visualization, construction safety, risk analysis, data mining, deviation, safety inspection, mining, risk factor, risk management, supervision |
| Subjects: | design practice, research methods, geotechnical engineering, building construction, quality assurance, environmental hazards, environmental health, risk assessment, control systems, data science, financial and cost management |
| Topics: | Engineering Principles, Project Management, Research Practice, Cost Management, Sustainability, Construction Technology, Risk Management, Quality Management, Design Practice |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here