Role of topology and recovery strategies on multi-dimensional resilience of road networks
Srijith Balakrishnan (TU Delft - Technology, Policy and Management)
Patrick Stokkink (TU Delft - Technology, Policy and Management)
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Abstract
This paper examines how road network topology and post-disruption recovery strategies jointly shape recovery processes following disruptions. We develop a scalable stress-testing framework to simulate disruption scenarios and generate recovery data for road networks, which is subsequently analyzed with regression models to identify the effects of structural characteristics, recovery strategy, and disruption severity on multi-dimensional resilience. Using 224 real-world road networks, we assess their post-disruption recovery across five resilience dimensions: operational efficiency, accessibility, local redundancy, global connectivity, and spatial fairness. The results yield three key insights with significant implications on infrastructure design and management. First, road network resilience is fundamentally multidimensional: no single recovery strategy consistently performs best across all dimensions. Second, topological characteristics influence recovery outcomes. Third, strategy-based recovery provides limited benefits under minor disruptions but substantially accelerates recovery under severe damage. These findings highlight the need for policies that integrate robust and diverse network design with post-disaster recovery planning for resilience management.
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