Risk analysis in underground tunnel construction with tunnel boring machines using the Best–Worst method and data envelopment analysis

Abstract

BackgroundThe use of tunnel boring machines is continuously increasing; however, this activity faces many risks, resulting in negative events. MethodsA novel approach using the best–worst method and a data envelopment analysis model was proposed to analyze the risks of underground tunnel construction with tunnel boring machines. The proposed approach was validated using a realistic case study of metro construction in Thailand. ResultsThe proposed approach efficiently analyzed the risks and produced more solid findings. The most critical and least affected risks can be identified according to risk scores in descending order. ImplicationThis study contributes a new method of risk analysis that benefits project managers and stakeholders who design risk management plans to reduce the occurrence and mitigate the severity of metro works. OriginalityThe new risk analysis can obtain the best compromise ranking of risks based on decision-makers’ preferences, probabilities, and various consequences under different circumstances.