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Assessing Construction Safety Performance in Urban Underground Space Development Projects from a Resilience Enhancement Perspective

Author(s):



Medium: journal article
Language(s): English
Published in: Buildings, , n. 5, v. 15
Page(s): 726
DOI: 10.3390/buildings15050726
Abstract:

Urban underground space construction frequently encounters issues of inadequate prevention and ineffective resistance to various disturbances, resulting in safety accidents that are difficult to recover from. Resilience pertains to a system’s capacity to absorb, resist, recover, and adapt when faced with disruptions. Enhancing the construction safety resilience of underground spaces can effectively tackle the issue of frequent accidents and the challenge of pre-controlling risks at construction sites. Utilizing systems engineering theory, this paper investigates the factors that affect the construction safety resilience of underground spaces and establishes a general framework for evaluating the safety performance of the construction process. Utilizing a large-scale underground construction project as a case study, the Bayesian network inference technique is applied to ascertain the project’s safety resilience value. Through reverse reasoning, the method identifies the most likely sequence of causes leading to construction safety incidents, and subsequently, the resilience assessment framework’s efficacy is tested. The research findings suggest that the core of construction safety management is the prevention of unsafe human behaviors and that the key to enhancing resilience lies in the optimization of response capabilities. The proposed “PFR-EFR-LFR” whole-process resilience analysis method can be applied to safety assessments for various types of underground space construction projects.

Copyright: © 2025 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10820579
  • Published on:
    11/03/2025
  • Last updated on:
    11/03/2025
 
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