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.
Authors
- Xiaoyu Wu (ORCID: https://orcid.org/0000-0002-0684-6053)
- Qizhou Hu (ORCID: https://orcid.org/0000-0002-2653-7872)
- Xin Zhang
Institutions
- Nanjing University of Science and Technology (CN)
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
- Field-Weighted Citation Impact
- 0.00