Keywords: critical infrastructures, resilience analysis, simulation, case study, critical infrastructure resilience, system resilience, structural resilience, information sharing, node vitality, missed service demand, MSD, node agility, system performance, scenario analysis, transport networks, disruption response times, agile nodes, vital nodes, snowfall, snow, critical infrastructure disruption, Italy
Simulation–based characterisation of critical infrastructure system resilience
This paper presents a simulation–based approach to the resilience analysis of critical infrastructures systems, making possible the characterisation of the structural resilience features of the system and estimation of the benefits that are derived from improved resilience practices, i.e., preparedness or responsiveness, due to enhanced information–sharing processes among the actors. Resilience characterisation is composed of assessment of the node vitality [i.e., the missed service demand (MSD) generated at the system level] and agility (i.e., the sensitivity of system performance to an improved response time in the node). Scenario analysis is subsequently used to simulate different strategies intended to minimise the impacts of large events. The transportation system in the metropolitan area of Milan is used for this purpose; more specifically, a reduction of disruption response times in agile nodes was simulated according to a real snowfall scenario.