Survey of 48 organizations from New Zealand, Canada, and USA [out of 96 contacted]

Case study for bottom-up approach: 32 interviews, each approximately 45 minutes long, from officers and generic actors of the most important organizations involved in emergency management in the Calabria regionCollecting results of former related projects

phase 1 gathered issues from the general public via an open-ended survey question,and phase 2 gathered issues from key informant interviews.

Scenario 1: No decision support (baseline). Representing a process of the vehicular evacuation without any support. Each agent move to the closest exit defined by the geographical distance. Agent without support uses the route with minimal length and do not take into account information on congestions. Scenario 2: Ordinary navigators. Simple navigation system has a statistical data on a current roads load. Agents with such system installed find optimal routes by minimization of estimated travel time in congested road network. Scenario 3: Learning navigators. the more advanced navigation system is used. This kind of system allows agents to commit their knowledge to the shared storage. When an agent discovers the flooded road all agents using the system discover this too automatically, and they take this new knowledge into account in their further routing. The knowledge sharing capability could be represented in contemporary navigation systems as a capability to declare information about accidents, road closures. Scenario 4: Navigators with full information about flooding. The full information on flood dynamics is accessible for agents who use the navigation system. It means that all the agents discover information on flooded areas at the moment they became flooded. This case can be projected to reality as a system which collects actual data from the sensors.

Use of case study Technologies for the future of hotels (THOFU) [80], EscapeSim has been employed to model a hotel environment and to assess emergency evacuations in this space

The evaluation took place during the FIFA World Cup 2014 and tested the usability of the app with 112 users in Brazil and in Germany.The participants of the study consisted of 64 male and 48 female visitors of the public viewing areas of the FIFA World Cup 2014 (N = 112). The participants’ age ranged from 13 to 68 years

plans for testing and validating the S-HELP DSS through the development and simulation of three selected scenarios in three EU Member States ongoing project

Data was collected by running the simulation for the framework validation and experimental evaluation. GIS Data was acquired from OSM.

case study for the Upper Danube region

Simulation