Abstract
An important aspect of transport infrastructure resilience is recovery, i.e. the process of returning to original service levels after a disruption. In this paper, we estimate recovery trajectories of the German rail network for two specific types of natural hazards: floods and tree fall. Extensive traffic data on track segments of the Deutsche Bahn are matched to geospatial information on disruptive flood and tree-fall events between 2018-2020. We quantify mean resilience curves for flood and tree-fall events by taking average train counts for each day within a (–7, +14)-day window. Results suggest that traffic takes about three days on average to return to normal operations after a tree-fall disruption lasting longer than one day, while it takes five days on average to recover from a flood. Trajectories vary according to route type and are influenced by seasonal weather conditions.
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