Robustness and closeness centrality for self-organized and planned cities

Street networks are important infrastructural transportation systems that cover a greatpart of the planet. It is now widely accepted that transportation properties of streetnetworks are better understood in the interplay between the street network itself and theso-called information or dual network, which embeds thetopology of the street network’s navigation system. In this work, we present a novelrobustness analysis, based on the interaction between the primal and the dualtransportation layer for two large metropolises, London and Chicago, thus considering thestructural differences to intentional attacks for self-organized andplanned cities. We elaborate the results through an accurate closeness centrality analysisin the Euclidean space and in the relationship between primal and dual space.Interestingly enough, we find that even if the considered planar graphs display verydistinct properties, the information space induce them to converge toward systems whichare similar in terms of transportation properties.