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08: Tutorial: Using a random road graph model to understand road networks robustness to link failures

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Tutorial: Using a random road graph model to understand road networks robustness to link failures The purpose of this tutorial is to address some of the queries that I received about the model and data found in the following research paper: Sohouenou, P. Y. R., Christidis, P., Christodoulou, A., Neves, L. A. C., & Lo Presti, D. (2020). Using a random road graph model to understand road networks robustness to link failures. International Journal of Critical Infrastructure Protection DOI: https://doi.org/10.1016/j.ijcip.2020.100353 Considering that the code was separated in several scripts and partly run on a High-Performance Computer (with its specific requirements), there is no point in sharing the raw code. Instead, I wrote this tutorial, which shows how to generate a GREREC network, acquire road network data, and perform a robustness analysis of these networks. The aim is to help anyone reading this to adapt the principles/co