Analyzing, the morphology, robustness or vulnerability of densely populated cities is a challenge for contemporary researchers. Studies on the resilience of urban infrastructures are given by the presence of recurrent adverse events or sporadic disasters. These events force the interruption of intersections or sections of streets momentarily or permanently. For measurements we use network graph properties and computational algorithms, simulating random and targeted attacks. Finally, in the results we identify the location of critical places that contain intersections and sections of street with greater centrality of intermediation and lower average of proximity.RESUMENAnalizar, la morfología, robustez o vulnerabilidad de ciudades densamente pobladas es un desafío para los investigadores contemporáneos. Los estudios sobre la resiliencia de infraestructuras urbanas se dan por la presencia de eventos adversos recurrentes o desastres esporádicos. Estos acontecimientos, obligan a interrumpir intersecciones o tramos de calles momentánea o permanentemente. Para las mediciones usamos las propiedades de grafos de redes y algoritmos computacionales, simulando ataques aleatorios y dirigidos. Finalmente, en los resultados identificamos la ubicación de lugares críticos que contienen intersecciones y secciones de calle con mayor centralidad de intermediación y menor promedio de cercanía.

Resilience is the capacity of a society or infrastructure to resist, adapt, and recover after being impacted by an extreme event. In this chapter, the authors focus on measuring how much the road infrastructure is able to withstand the appearance of extreme events. An extreme event will be represented by an intentional (e.g., perpetrated attacks) or unintentional (e.g., as result of climate extreme event) damage on the routes or intersections of the road network within a city. To do this, the authors measure the primary characteristics of urban networks in order to understand their morphology (i.e., the way in which they were constructed). Then, they evaluated the resistance capacity of different points of the road networks with three types of attacks: random, directed, and localized. The first results of this study show the fragility of some roads and intersections before the appearance of extreme phenomena. These results can be exploited by those in charge of public management and then converted into policies.