This paper presents the work under development to customize a Decision Support System, called CIPCast, conceived in the framework of several international research projects, aiming to support decision makers in the event of natural events. CIPCast can acquire several types of data such as seismic events, weather forecasts, Points of Interest (POI), Critical Infrastructure (CI) components and perform a risk analysis of the vulnerable assets (e.g., buildings, electric substations, water towers) by considering the vulnerability of each asset to a specific natural event and applying a set of damage metrics taken from the literature. In order to study the effects of restoration actions when a perturbation affects one or multiple systems, a novel CIPCast feature relates the assessment of urban resilience in terms of social, economic and operational indicators in a real or simulated scenario. Thus, CIPCast DSS can support decision-makers to plan proper countermeasures to reduce the overall risk of degradation of services.