Publication Findings
The Role of Simulation and Modeling in Disaster Management.

Levels of maturity of table-top : Problem formulation, other steps in execution, performance metrics and of readiness will differ for each.Discovery: Before expectations exist for behavior, a tabletop conducted more nearly like a role-playing game is very useful for exposing candidate responses and raising awareness of issues. /Validation: After some candidate expectations for appropriate have been exposed, tabletop exercises can be useful to evaluate proposals, compare alternatives and expose remaining gaps and issues. : When sufficient portions of a Response Plan have been identified, articulated and validated by such simulation, it is reasonable to train the workforce to be proficient in the elected expectation for behavior.Monitoring and Adaptation: Finally, at ultimate maturity, refined by data and simulation runs, connected

The use of emergency operations centres in local government emergency management.

EOC ActivationTraining

The workpad user interface and methodology: Developing smart and effective mobile applications for emergency operators

User requirementsResults of former projectsFor user interface: (1) grasping the users' mental attentions onto the system as little as possible, (2) reducing the resource consumptions (computational power, bandwidth, and battery)

Towards a Holistic Framework for the Evaluation of Emergency Plans in Indoor Environments.

PeopleInBuildingPeopleWhoReachEmergencyPeopleWhoReachEmergency

Towards a Lightweight Approach for On-site Interaction Evaluation of Safety-critical Mobile Systems

Effectivity. Pragmatic and hedonic quality. Improvement potential.

Towards the development of a decision support system for multi-agency decision-making during cross-border emergencies.

logistic tools; threat and ‘what if’ considerations; incident intelligence; learning sets; post evaluations

Traffic evacuation simulation based on multi-level driving decision model.

Clearance time, 2) total evacuation rates and mean evacuation rates per shelter, 3) panic population, 4) number of jammed intersections

Training and learning for crisis management using a virtual simulation/gaming environment.

Four decisions important for designing gaming :Time settingEnvironmental settingLevel of detailKnowledge, experience, and sophistication of players

Using Monte Carlo simulation to refine emergency logistics response models: a case study.

times for certain activitiesEx. Clearance activity, vehicle speed, aid distribution in prone area, …

Using Real-Time Decision Tools to Improve Distributed Decision-Making Capabilities in High-Magnitude Crisis Situations.

15 explanatory variables (from that, 6 were quantitative and 9 represents background information for each responder e.g. interaction between levels and departments). variable is the quarantine strategy (QS) in no intervention (QS1) to moderate (QS3) to extreme (QS5) intervention (quarantine) responses.

eu Portfolio of Solutions web site has been initially developed in the scope of DRIVER+ project. Today, the service is managed by AIT Austrian Institute of Technology GmbH., for the benefit of the European Management. PoS is endorsed and supported by the Disaster Competence Network Austria (DCNA) as well as by the STAMINA and TeamAware H2020 projects.