An Open-Data-Based Methodology for the Creation of a Graph of Critical Infrastructure Dependencies at an Urban Scale

Abstract

This paper presents the MARIS (Modeling infrAstructuRe dependencIes at an urban Scale) methodology, allowing the generalization of one of the possible graphs modeling Critical Infrastructure (CI, hereafter) interdependencies at an urban scale starting from uncertain data. This leverages a set of known interdependencies at the system level, topological open data of local services and Points of Interest collected at an urban scale, and some heuristics. Indeed, interdependencies at an urban scale are usually not known to decision makers (e.g., CI operators, emergency planners) due to, for example, a lack of integration of knowledge held by different critical infrastructure operators and privacy restrictions. Here, these interdependencies are determined through geographic-based strategies. The resulting graph can be a valuable input to simulate emergency scenarios of CIs in the area of interest and, thus, plan proper countermeasures.