An association rule mining model for evaluating the potential correlation of construction cross operation risk

Chen, Qianqian; Tian, Zhen; Liu, Tian; Huang, Shenghan

doi:10.1108/ecam-09-2021-0792

Cited by 5 publications

(2 citation statements)

References 48 publications

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“…ARM can detect correlations or causalities among factors in disorderly datasets (Chen et al ., 2022). Let I = { I 1 , I 2 , …, I be a set of items, where I k ( k = 1, 2, 3, …, n ) represents the items in the itemset.…”

Section: Methodsmentioning

confidence: 99%

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Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework

Han,

Shen,

Zhu

et al. 2024

ECAM

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PurposeThis study aims to develop an interface management risk interaction modeling and analysis methodology applicable to complex systems in high-speed rail construction projects, reveal the interaction mechanism of interface management risk and provide theoretical support for project managers to develop appropriate interface management risk response strategies.Design/methodology/approachThis paper introduces the association rule mining technique to improve the complex network modeling method. Taking China as an example, based on the stakeholder perspective, the risk factors and significant accident types of interface management of high-speed rail construction projects are systematically identified, and a database is established. Then, the Apriori algorithm is used to mine and analyze the strong association rules among the factors in the database, construct the complex network, and analyze its topological characteristics to reveal the interaction mechanism of the interface management risk of high-speed rail construction projects.FindingsThe results show that the network is both scale-free and small-world, implying that construction accidents are not random events but rather the result of strong interactions between numerous interface management risks. Contractors, technical interfaces, mechanical equipment, and environmental factors are the primary direct causal factors of accidents, while owners and designers are essential indirect causal factors. The global importance of stakeholders such as owners, designers, and supervisors rises significantly after considering the indirect correlations between factors. This theoretically explains the need to consider the interactions between interface management risks.Originality/valueThe interaction mechanism between interface management risks is unclear, which is an essential factor influencing the decision of risk response measures. This study proposes a new methodology for analyzing interface management risk response strategies that incorporate quantitative analysis methods and considers the interaction of interface management risks.

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Section: Methodsmentioning

confidence: 99%

“…ARM can detect correlations or causalities among factors in disorderly datasets (Chen et al, 2022). Let I 5 {I 1 , I 2 , .…”

Section: Arm and Cnmentioning

confidence: 99%

Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework

Han,

Shen,

Zhu

et al. 2024

ECAM

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Safety-Risk Transmission Assessment Based on a Factor–Event Network for Metro Construction Projects

Xu,

Hu,

Zhang

et al. 2024

Nat. Hazards Rev.

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Risk accumulation assessment method for building construction based on complex network

Cao,

Cheng

2023

ECAM

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PurposeIn the evolution process of building construction accidents, there are key nodes of risk change. This paper aims to quickly identify the key nodes and quantitatively assess the node risk. Furthermore, it is essential to propose risk accumulation assessment method of building construction.Design/methodology/approachAuthors analyzed 419 accidents investigation reports on building construction. In total, 39 risk factors were identified by accidents analysis. These risk factors were combined with 245 risk evolution chains. Based on those, Gephi software was used to draw the risk evolution network model for building construction. Topological parameters were applied to interpret the risk evolution network characteristic.FindingsCombining complex network with risk matrix, the standard of quantitative classification of node risk level is formulated. After quantitative analysis of node risk, 7 items of medium-risk node, 3 items of high-risk node and 2 items of higher-risk nodes are determined. The application results show that the system risk of the project is 44.67%, which is the high risk level. It can reflect the actual safety conditions of the project in a more comprehensive way.Research limitations/implicationsThis paper determined the level of node risk only using the node degree and risk matrix. In future research, more node topological parameters that could be applied to node risk, such as clustering coefficients, mesoscopic numbers, centrality, PageRank, etc.Practical implicationsThis article can quantitatively assess the risk accumulation of building construction. It would help safety managers could clarify the system risk status. Moreover, it also contributes to reveal the correspondence between risk accumulation and accident evolution.Originality/valueThis study comprehensively considers the likelihood, consequences and correlation to assess node risk. Based on this, single-node risk and system risk assessment methods of building construction systems were proposed. It provided a promising method and idea for the risk accumulation assessment method of building construction. Moreover, evolution process of node risk is explained from the perspective of risk accumulation.

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An association rule mining model for evaluating the potential correlation of construction cross operation risk

Cited by 5 publications

References 48 publications

Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework

Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework

Safety-Risk Transmission Assessment Based on a Factor–Event Network for Metro Construction Projects

Risk accumulation assessment method for building construction based on complex network

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