철도네트워크의 효율적 리질리언스 평가를 위한 다중 해상도 방법론 제안

초록

Natural hazards have increasingly disrupted railway operations, emphasizing the need for resilience assessment of large-scale railway networks. A previous study based on system reliability relied on a resilience threshold derived under the assumption that all disruption scenarios contributed equally, which can lead to overestimation of network resilience. In addition, computing resilience indices for all disruption scenarios imposes significant computational demands, particularly for highly detailed network representations. To address these challenges, this study introduces a revised threshold formulation that accounts for the negligible influence of low-impact scenarios. In addition, a multiresolution assessment framework is proposed that selectively refines the network only for critical scenarios identified at a lower-resolution level. The proposed method is applied to both hypothetical and real-world railway networks, showing improved computational efficiency while maintaining the ability to identify critical scenarios and vulnerable structural components.

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