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Models for estimating flood losses to infrastructure are rare and theirreliability is seldom investigated although infrastructure losses mightcontribute considerably to the overall flood losses. In this paper, anempirical modelling approach for estimating direct structural flood damageto railway infrastructure and associated financial losses is presented. Viaa combination of event data, i.e. photo-documented damage on the NorthernRailway in Lower Austria caused by the March River flood in 2006, andsimulated flood characteristics, i.e. water levels, flow velocities andcombinations thereof, the correlations between physical flood impactparameters and damage occurred to the railway track were investigated andsubsequently rendered into a damage model. After calibrating the lossestimation using recorded repair costs of the Austrian Federal Railways, themodel was applied to three synthetic scenarios with return periods of 30,100 and 300 years of March River flooding. Finally, the model results arecompared to depth-damage-curve-based approaches for the infrastructuresector obtained from the Rhine Atlas damage model and the Damage Scannermodel. The results of this case study indicate a good performance of ourtwo-stage model approach. However, due to a lack of independent event anddamage data, the model could not yet be validated. Future research innatural risk should focus on the development of event and damagedocumentation procedures to overcome this significant hurdle in flood damage modelling

Estimating flood damage to railway infrastructure – the case study of the March River flood in 2006 at the Austrian Northern Railway