An integrated framework for assessing network resilience to dual disruptions

Abstract

The resilience of transportation networks to disruptions is crucial for maintaining regional connectivity and economic vitality. Traditional assessments often rely on single-metric or single-scenario analyses, limiting a comprehensive understanding of network vulnerabilities. This paper proposes an integrated framework for resilience assessment that explicitly considers dual disruption scenarios: random failures and targeted attacks. The framework synthesizes topological robustness analysis based on complex network theory with functional resilience evaluation grounded in traffic flow dynamics and generalized travel cost. An entropy-weighted TOPSIS method is employed to integrate the results from both dimensions, enabling a holistic identification of critical network components. The framework is applied to a major regional highway network as a case study. Results show that the network exhibits significantly different degradation patterns under the two disruption types. Topological analysis reveals vulnerability to targeted attacks on high-betweenness corridors, while functional assessment quantifies the associated surge in system-wide travel cost. The integrated criticality ranking identifies specific links whose failure would most severely degrade overall system performance. The proposed method provides a practical and systematic tool for infrastructure vulnerability diagnosis, risk prioritization, and informed decision-making in reinforcement planning and emergency preparedness.