
We provide the code used for the analysis that we used in the article Resilience of transportation infrastructure networks to road failures. As the computation for the RoadNetworks that we analysed in this manuscript is quite large, the computational load is quite high. We pre-computed the load values on the cluster and provide the results here. The code for the Figures in the notebooks will therefore not compute the loads, but just load them from files. We provide a My-road-network.ipynb were you can play around with a smaller RoadNetwork, computing everything locally. Published inJ. Wassmer, B. Merz, N. Marwan: Resilience of transportation infrastructure networks to road failures, Chaos, 34, 013124 (2024). DOI:10.1063/5.0165839
natural hazards, climate impact, infrastructure, flood, transportation infrastructure networks, road failures, Python
natural hazards, climate impact, infrastructure, flood, transportation infrastructure networks, road failures, Python
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