Risk identification for the resilience of railway engineering construction in complex mountainous areas

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ID: 329048
2026
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Abstract
Abstract To investigate risks affecting the resilience of railway engineering construction in complex mountainous areas (R-REC-CM), a risk identification model for R-REC-CM is developed. First, resilience is defined for three stages based on the definition of resilience, namely before, during, and after railway engineering construction in complex mountainous areas. Second, a risk identification framework for R-REC-CM is developed, mainly including risk-factor identification sets and models, and a cloud-model-based classification model for risk-resilience grades. Finally, using a railway construction project as a case study, the risk resilience of railway engineering construction is evaluated using the developed model, including risk-resilience assessment and risk-impact analysis of different disaster and structural types. The results indicate that the overall risk-resilience level of the railway project is good, with the station building in the pre-construction stage under geological-disaster conditions having the highest risk-resilience value and the strongest risk resistance, whereas the track exhibits poor risk resistance across different disasters. Furthermore, a railway engineering risk-resilience analysis platform and three risk-management measures are proposed, which help demonstrate the practical applicability of the theoretical model and improve the safety and reliability throughout the life cycle of railway engineering construction.
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openalex_W7213535804 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Qizhou Hu, Xiaoyu Wu, Xin Zhang
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Journal Transportation Safety and Environment
Year 2026
DOI
10.1093/tse/tdag053
URL
https://doi.org/10.1093/tse/tdag053
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