Fanpce Technique for Risk Assessment on Subway Station Construction

Wu, Luyuan; Bai, Haibo; Che, Yong; Xu, Chun Hua

doi:10.3846/jcem.2019.10373

Cited by 10 publications

(7 citation statements)

References 49 publications

(62 reference statements)

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“…Therefore, the evaluation result of man risk is consistent with the actual situation of the project. As a participant in the construction of engineering projects, man risk factors not only exist in the construction of traditional subway stations (Wu et al. , 2019) but also significantly affect the construction safety of prefabricated subway stations.…”

Section: Resultsmentioning

confidence: 99%

Research on the construction safety risk assessment of prefabricated subway stations in China

Luo

Guo

Han

et al. 2022

ECAM

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PurposePrefabricated technology is gradually being applied to the construction of subway stations due to its characteristic of mechanization. However, the prefabricated subway station in China is in the initial stage of development, which is prone to construction safety issues. This study aims to evaluate the construction safety risks of prefabricated subway stations in China and formulate corresponding countermeasures to ensure construction safety.Design/methodology/approachA construction safety risk evaluation index system for the prefabricated subway station was established through literature research and the Delphi method. Furthermore, based on the structure entropy weight method, matter-element theory and evidence theory, a hybrid evaluation model is developed to evaluate the construction safety risks of prefabricated subway stations. The basic probability assignment (BPA) function is obtained using the matter-element theory, the index weight is calculated using the structure entropy weight method to modify the BPA function and the risk evaluation level is determined using the evidence theory. Finally, the reliability and applicability of the evaluation model are verified with a case study of a prefabricated subway station project in China.FindingsThe results indicate that the level of construction safety risks in the prefabricated subway station project is relatively low. Man risk, machine risk and method risk are the key factors affecting the overall risk of the project. The evaluation results of the first-level indexes are discussed, and targeted countermeasures are proposed. Therefore, management personnel can deeply understand the construction safety risks of prefabricated subway stations.Originality/valueThis research fills the research gap in the field of construction safety risk assessment of prefabricated subway stations. The methods for construction safety risk assessment are summarized to establish a reliable hybrid evaluation model, laying the foundation for future research. Moreover, the construction safety risk evaluation index system for prefabricated subway stations is proposed, which can be adopted to guide construction safety management.

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Section: Resultsmentioning

confidence: 99%

Research on the construction safety risk assessment of prefabricated subway stations in China

Luo

Guo

Han

et al. 2022

ECAM

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“…Meanwhile, ANP and Bayesian network (BBN) can be used to explore the interactions among risks and evaluate the risk state quantitatively, while they require large amounts of data. Wu et al quantify the risk level of a subway station construction using fuzzy ANP via the synthesis of weight matrices, which requires much more computation for pairwise comparison between risk factors [46,47]. BBN performs excellently to model complex relationships among risks on the bases of the conditional probabilities of the nodes [48].…”

Section: Risk Assessment Methods In Megaprojectsmentioning

confidence: 99%

Exploring Technical Decision-Making Risks in Construction Megaprojects Using Grounded Theory and System Dynamics

Tang

Wang

et al. 2022

Computational Intelligence and Neuroscience

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Technical decision-makings (TDMs) are a vital part of the decision-makings in construction megaprojects, facing high risks brought by technical complexity, dynamic environment, and subject cognition. Identifying technical decision-making risks (TDMRs) and exploring their interactions are important in megaproject management. Due to the high complexity of TDMs in megaprojects, TDMRs are complex and diverse. However, there is a lack of research on exploring the systematic TDMRs in megaprojects. To address this gap in knowledge, this paper aims to better understand the dynamic complexity of TDMRs in megaprojects by identifying the risks and exploring their interactions from a dynamic and systematic perspective. Grounded theory (GT) and system dynamics (SD) were adopted for this research. First, the GT was used to identify TDMRs in megaprojects and create a conceptual model depicting the relationships among TDMRs. Then, an SD model characterizing the causal structure of the TDMRs system in megaprojects is developed in both qualitative and quantitative manners. The developed model involves interrelationships among environmental risks, decision-making process risks, and decision-making execution process risks. After the validation of the model, a model simulation is conducted to predict the dynamic evolution process of the TDMRs. As a result, a multilayer risk list consisting of 42 index layer risk indicators, 13 field layer risk indicators, and 3 standard layer risk indicators is identified. The SD modeling results show that these multilevel TDMRs interact dynamically and have intricate influences on the total risk level of TDMs in megaprojects. The results of this study could be useful for decision-makers to identify and mitigate TDMRs in megaprojects.

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“…So, with the need for improved performance in the construction industry, the requirement of a practical risk management approach is imperative (Shi et al , 2008). Furthermore, risk assessment is critical for the construction to improve risk management and reduce the additional loss because the critical risk factors significantly affect the success of construction projects (Tawalare and Iop, 2018; Wu et al , 2019). So, what are the various risk factors affecting tertiary education building projects?…”

Section: Literature Reviewmentioning

confidence: 99%

Structural equation modelling of risk factors influencing the success of building projects

Adedokun

Egbelakin

2022

JFM

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Purpose Despite several research efforts tackling construction project risks globally, tertiary education building projects are not devoid of experiencing risks with cascading effects on projects. In the past decades, there has been increasing application of linear assessments of risks in construction risk management practices. However, this study aims to assess the influence of risk factors on the success of tertiary education building projects using a structural equation modelling approach. This study will further reinforce the risk factors that require attention because risk factors are not linear but interdependent. Design/methodology/approach A quantitative research method was undertaken in this study, where data collection was achieved via a structured questionnaire survey. In total, 452 questionnaires were administered to client representatives, consultants and contractors involved in executing tertiary education building projects across five public tertiary education institutions in Ondo State, Nigeria. Of 452 questionnaires, 279 were found usable for the analysis, implying a response rate of 61.73%. The Cronbach α test, average variances extracted and composite reliabilities values show high reliability and internal consistency of the instrument used for data gathering. Furthermore, the study adopted percentile, mean, correlation, regression analysis and structural equation modelling for analyzing the data collected upon which the study’s inferences were based. Findings The study found that three out of six criteria for measuring the success of tertiary education building projects were significantly affected by risk factors while using the structural equation modelling technique. With this non-linear method of assessment, completion to time was significantly impacted by environmental risk factors. In addition, safety performance was also significantly influenced by logistic, environmental and legal risk factors; furthermore, logistics, design and environmental risks significantly affected profit. However, completion to cost, standard/quality and end-user satisfaction was not significantly affected by the risk factors in tertiary education building projects. Research limitations/implications The quantitative data used for the analysis are limited to the tertiary education building projects from selected five tertiary education institutions in Ondo State; therefore, the results do not indicate all tertiary institutions in Nigeria. In addition, the findings are based on building projects that were procured through a competitive tendering arrangement only and thus considered a limitation for this study. Practical implications Not all the risks significantly influence the tertiary education building projects. Therefore, risk factors with a significant effect on the success indicators of tertiary education building projects should be prioritized for a successful project. While risk factors have not affected the completion to cost per se, the study implies that the resultant effect of risks on other success indicators could have a cascading effect on these projects in terms of cost and time overruns. These results may assist during the project risk management while also addressing complexity and uncertainty to avoid chaos in a tertiary education building projects. Originality/value The study found significant construction risk factors impacting the success of tertiary education building projects using a non-linear methodology, an extension beyond the usual linear method of assessment of risk impacts on the project performance.

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Fanpce Technique for Risk Assessment on Subway Station Construction

Cited by 10 publications

References 49 publications

Research on the construction safety risk assessment of prefabricated subway stations in China

Research on the construction safety risk assessment of prefabricated subway stations in China

Exploring Technical Decision-Making Risks in Construction Megaprojects Using Grounded Theory and System Dynamics

Structural equation modelling of risk factors influencing the success of building projects

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