Coupling Simulation of Human-Environmental Safety Risk Factors in Metro Construction –: a Case Study of Rongjiazhai Station at Xi’an Metro Line 5 in China

Qingjun Guo, Shohel Amin*, Hui Wang, Hongyu Yan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The coupling of human, management, mechanical, and environmental risk factors increases the probability of accident occurrence at metro construction sites. The degree of coupling risks at metro construction sites is the degree of interdependence among the risks in subsystems during metro construction projects. This paper uses the coupling relationship between the human and environmental risks to predict the progression in overall risk-level of construction process at Rongjiazhai station of Xi’an Metro Line 5 in China. The coupling model and system dynamics simulation are applied in four steps: develop the coupling model, estimate the weight index for metro construction risk factors, calculate the risk levels, and estimate the degrees of coupling risks. This paper identifies that the change of coupling coefficients of human-environmental factors has a significant influence on the risk-level at metro construction sites. The “psychological and physiological quality,” “natural and working environment,” and “physiological discomfort and working environment” are the most influential factors of the coupling level of human-environmental risks. The simulation results demonstrate that the coupling effects of risk factors should be emphasized in engineering practice. To reduce the risk-level of construction system, the human, mechanical, and environmental risks should be identified, coupled, and monitored in real time.
Original languageEnglish
Pages (from-to)26-42
Number of pages17
JournalInternational Journal of Construction Education and Research
Volume20
Issue number1
Early online date17 Feb 2023
DOIs
Publication statusPublished - 2024

Bibliographical note

Copyright © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

  • Coupling model
  • environmental factors
  • human factors
  • system dynamics model

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