This project addresses the existing literature on human behavior to establish a setof movements and behaviors that could then be translated into models and simulations using the Cell-DEVS formalism.The CD++ toolkit provided a suite of tools allowing for the translation of Cell-DEVS models into source code that could then be compiled, simulated, and visualized in order to help build an intuitive understanding of the mechanics that govern evacuation and egress during an emergency situation

This decision-making model can be used to develop better decision support tools, improve training, and to understand how innovative weather information could potentially affect emergency managers’ role of protecting the public.

The study demonstrates that South Australian emergency nurses have not received appropriate or consistent disaster education and training. These may be factors contributing to an overall low level of disaster knowledge and confusion regarding local policies and practice, amongst South Australian emergency nurses.

This paper has proposed a model for the emergency transportation network design problem that is useful in developing pre-disaster plans for controlling the network in order to carry out emergency response activities after an earthquake. The model can also be used for identifying critical routes

Added transparency can facilitate higher trust and utility among operators of complex systems. Establishing optimal reliance strategies is critical to human–machine interactions

Users liked the interface, the information organization, and the system tutorial. The system resulted easy to use and with good functionalities integration ( specially for being a mashup system (integration of different sources of information and systems e.g. google maps, flickr, and so on). Users criticized the aesthetic of the interface which could be enhanced The system resulted partially instable when tested on different browsers (this can be due to the peculiarities of the technologies which are always not completely standard when rendered in different browsers).

The emergency preparedness training improved the knowledge levels and increased attitudinal and behavioural intention scores for emergency preparedness. The results at follow-up showed that the knowledge levels and attitudinal/behavioural intention scores of participants decreased slightly (P40.05) compared with levels immediately after training (Po0.01). However, there was a significant increase compared with before training (Po0.01). Moreover, more than 80% of participants reported that the training process and resources were scientific and feasible.

Seventeen medical responders managed 112 victims of a simulated building explosion. Although 81% of the patients were assigned the appropriate triage codes, evacuation from the site did not follow in priority. Required maneuvers were performed correctly in 85.2% of airway maneuvers and 78.7% of breathing maneuvers, however, significant under-treatment occurred, possibly due to equipment shortages. Extensive use of radio communication was documented. In evaluating this tool, the structured markers were informative, but further information provided by direct observation was invaluable.Data communication played a pivotal role in disaster and MCI response. An accurate and objective method for evaluation of exercises would allow the determination of strengths and weaknesses in the disaster response; and ultimately provides the data needed for improvement of the response system.

The findings indicate the key role of crisis origin in affecting publics’ preferred information form (social media, traditional media, or word-ofmouth communication) and source (organization in crisis or third party), which influences how publics anticipate an organization should respond to a crisis and what crisis emotions they are likely to feel when exposed to crisis information.

Difference in performance between junior and senior surgeonsCorrelations between experience and performance in both operating theater and on bench modelImprovement between 1st and last trail on a number of KPI’s in simulations