A causal network-based risk matrix model applicable to shield tbm tunneling projects

Heeyoung Chung, Jeongjun Park, Byung Kyu Kim, Kibeom Kwon, In Mo Lee, Hangseok Choi

Research output: Contribution to journalArticlepeer-review

Abstract

The present study compares and analyzes three risk analysis models that are applicable to shield tunnel boring machine (TBM) tunneling, and thus proposes an improved risk matrix model based on the causal networks applicable to sustainable tunnel projects. The advantages and disadvantages of three risk analysis models are compared, and causal networks are structured by analyzing the causal relationship between risk factors and risk events. Based on the comparison and analysis results, the causal network-based risk matrix model (CN-Matrix model), which complements the disadvantages and exploits the advantages of the three existing models, is proposed in this paper. Furthermore, this study suggests a means of modifying the weighting scores in the estimation of the risk score, which permits the CN-Matrix model to determine the risk level more reasonably. Thus, the improved CN-Matrix model is more reliable and robust compared to the three existing models.

Original languageEnglish
Article number4846
JournalSustainability (Switzerland)
Volume13
Issue number9
DOIs
Publication statusPublished - 2021 May

Keywords

  • Analytic hierarchy process (AHP)
  • Bayesian network
  • Causal network
  • CN-Matrix model
  • Fault tree analysis (FTA)
  • Risk analysis
  • Risk matrix
  • Shield TBM risk analysis model (STRAM)
  • Shield tunnel boring machine (TBM)

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law

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