Measuring road segment resilience patterns under frequent disturbances: A comprehensive metric framework

Urban road network resilience assessment often provides limited guidance for traffic management, as existing indicators are either too complex to correspond to operational measures or suffer from unclear boundaries and instability, leading to inconsistent results. To address these limitations, this study proposes a novel comprehensive resilience assessment framework based on three clearly separated dimensions—rapidity, robustness, and recovery. The study further introduces quantitative methods for assessing boundary clarity and statistical stability, enabling explicit and objective evaluation of whether indicators respond exclusively and reliably to different management measures. Using these metrics, simulation-based scenario validation shows that the proposed indicators exhibit distinct, non-overlapping responsiveness to specific traffic management strategies and achieve 66.06 % lower variability than benchmark indicators, with stability scores consistently above 0.94 across all scenarios. The framework is further applied to the Guangzhou Airport Expressway, where the proposed indicators reveal segment-level differences in resilience and identify the underlying factors contributing to weak performance. These insights offer actionable guidance for future traffic management and targeted resilience enhancement in real-world networks.