GEO-Visual analytics for healthcare critical infrastructure simulation model

Floods can have a devastating effect on critical infrastructures, especially in the case of cascading effects among multiple infrastructures such as the Healthcare Critical Infrastructure (CI), Electricity CI, Water supply CI, etc. To ensure a resilient Healthcare Critical Infrastructure, understanding the vulnerabilities and analyzing the interdependencies on other critical infrastructures is important. In order to enable real time situational awareness for operational risk management one needs to be aware of the wide range of events that can unfold during a disaster and their effect on CIs. In this paper, we present a dynamic simulation model based on a Petri net modeling approach integrated with a geographic information system and Geo-visual analytics for detecting cascading failures and visualization of CI interdependencies during a flood disaster scenario to enable timely and efficient response.