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

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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Publication Details

Journal
Transportation Safety and Environment
Published
2026-09-17
DOI
https://doi.org/10.1093/tse/tdag053
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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Risk identification for the resilience of railway engineering construction in complex mountainous areas

Xiaoyu Wu, Qizhou Hu, Xin Zhang
Transportation Safety and Environment
Infrastructure Resilience and Vulnerability Analysis
article

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

Xiaoyu Wu, Qizhou Hu, Xin Zhang
article en

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.

Transportation Safety and Environment
Nanjing University of Science and Technology (CN)
Responsible consumption and production
Openalex Percentile: Top 17%
Infrastructure Resilience and Vulnerability Analysis
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