Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework

Fu, Lipeng; Wang, Xueqing; Zhao, Heng; Li, Mengnan

doi:10.1016/j.ress.2022.108381

Cited by 46 publications

(19 citation statements)

References 30 publications

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“…A total of 17 client (Lyu et al, 2020), 10 experts for risk in tunnel portals (Deng et al, 2018). Semi structured interviews of 11 and 15 experts were taken for risk evaluation of metro deep foundation pit projects (Fu et al, 2022) and PPP projects in road construction (Marinelli, 2019), respectively. Thus, the sample size of collected data was considered to be sufficient and representative of the domain expert population.…”

Section: Analysis and Resultsmentioning

confidence: 99%

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Risk assessment of underground and elevated metro projects from clients' and contractors' perspective

Karmarkar

Krishnan

Delhi

et al. 2022

BEPAM

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PurposeIndia is a rapidly urbanizing developing country with a population of 1.4 Billion. Indian governments have invested USD 50 Billion) in metro rail projects in 18 cities. Metro constructions are multi-stakeholder mega-projects and are prone to a variety of risks. The purpose of this paper is to analyze the risks involved in metro rail construction projects in a densely populated developing country for two types of systems and from two perspectives. Current literature lacks an understanding of similarities and differences in the risks involved in underground and elevated metro projects from clients' and contractors' perspectives, which the paper highlights.Design/methodology/approachA total of twenty-five risks were identified, categorized and assessed through experts' opinions about the impact and probability of occurrence of the risks through a questionnaire-based survey. The survey respondents included experts in metro rail construction from client and contractor sides. Paper uses a Fuzzy Inference System to calibrate risk magnitude from occurrence probability and impact.FindingsA notable difference was observed in the views of clients and contractors, except for certain common risks. Both stakeholders had different risk perceptions for the underground and elevated metro rail systems.Practical implicationsThis study contributes to the risk assessment for different types of metro systems. This research can help policymakers as well as consultants in prioritizing their risk management strategies in developing countries like India.Originality/valueHighlighting the critical aspects of risks in metro projects in a developing country, this paper also provides system-based and stakeholder-based comparative aspects of risk analysis.

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Section: Analysis and Resultsmentioning

confidence: 99%

“…, 2020), 10 experts for risk in tunnel portals (Deng et al ., 2018). Semi structured interviews of 11 and 15 experts were taken for risk evaluation of metro deep foundation pit projects (Fu et al. , 2022) and PPP projects in road construction (Marinelli, 2019), respectively.…”

Section: Analysis and Resultsmentioning

confidence: 99%

Risk assessment of underground and elevated metro projects from clients' and contractors' perspective

Karmarkar

Krishnan

Delhi

et al. 2022

BEPAM

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“…Among them, the Apriori algorithm is the most classical frequent itemset generation algorithm, which finds frequent itemsets by calculating support, confidence, and lift to find association rules. In recent years, it has been widely used in many fields, including finance (Ho et al, 2012), medical (Altaf et al, 2017), and construction (Fu et al, 2022). The Apriori algorithm has ECAM 31,5 the following advantages: First, the computational speed of the Apriori algorithm is suitable for an extensive range of large-scale data sets, and the logic of the algorithm is clear and easy to understand.…”

Section: Interactive Analysis Of Interface Management Risk Factors Fo...mentioning

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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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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“…Cluster 0 indicates that the Bayesian network is the most popular and widely applied network approach in the early stages of study in the NA-CSOHM field. The establishment of a network generally requires the support of a large amount of available data, which makes data mining technology of great significance to the development and application of network approaches and has gradually gained more attention [17]. Clusters 3 and 7 illustrate that the application of various information technologies and new hardware technologies, such as wireless sensors and the Internet of Things (IoT), in CSOH management research has gradually formed a trend and has broad prospects.…”

Section: Keyword Cluster Analysismentioning

confidence: 99%

“…Accident diagnosis and management [23] Fall from height; construction workers [24] Construction safety; predictive analysis; tunnel construction [28] CN Complex network Human error; safety assessment [32] explanation, prediction Near-miss; metro construction; safety management [42] Construction safety; subway construction [25] description, explanation Unsafe behaviors; accident prevention; urban railway construction [46] Safety management; design for safety (DFS); prevention through design (PTD); subway construction [69] Accident analysis; railway operational accident [70] Accident analysis; metro operation hazard network (MOHN) [71] Deep foundation pit; subway construction [17] Construction workers; unsafe behavior [72] Unsafe behavior; accident prevention; urban railway [73] Accident level; accident chain; construction [44] description, explanation, control Human factor analysis (HFA); occupational safety [48] Organizational synchronization; construction delay factors [74] CNN Convolutional neural network Fall prevention; personnel protective equipment [75] explanation, prediction, control Construction safety; guardrail detection [29] FNN Fuzzy neural network Worker-machine safety; intelligent assessment [76] explanation, prediction, control NN Neural network;…”

Section: Network Approaches Research Objects and Analysis Processmentioning

confidence: 99%

Research Paradigm of Network Approaches in Construction Safety and Occupational Health

Liu

Cui

et al. 2022

IJERPH

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Construction safety accidents seriously threaten the lives and health of employees; however, the complexity of construction safety problems continues to increase. Network approaches have been widely applied to address accident mechanics. This study aims to review related studies on construction safety and occupational health (CSOH) and summarize the research paradigm of recent decades. We solicited 119 peer-reviewed journal articles and performed a bibliometric analysis as the foundation of the future directions, application bottlenecks, and research paradigm. (1) Based on the keyword cluster, future directions are divided into four layers: key directions, core themes, key problems, and important methods. (2) The network approaches are not independently applied in the CSOH research. It needs to rely on different theories or be combined with other methods and models. However, in terms of approach applications, there are still some common limitations that restrict its application and development. (3) The research paradigm of network analysis process can be divided into four stages: description, explanation, prediction, and control. When the same network method encounters different research objects, it focuses on different analysis processes and plays different roles.

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Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework

Cited by 46 publications

References 30 publications

Risk assessment of underground and elevated metro projects from clients' and contractors' perspective

Risk assessment of underground and elevated metro projects from clients' and contractors' perspective

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

Research Paradigm of Network Approaches in Construction Safety and Occupational Health

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