4 research outputs found

    A Comparison of Emergency Management Social Media Use in the United States and England

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    A survey was distributed to U.S. county-level emergency managers in 2014 which included questions exploring the importance of barriers to use of Social Media (SM) for dissemination and collection of information during disasters. Key questions were replicated in a survey of emergency responders in England in 2015-2016. There are many similarities in the perceived importance of various specific barriers, but also many significant differences in results. For example, in both samples, trustworthiness of data and information overload are among the top barriers to collecting SM data. However, agencies in England are more likely to have official policies prohibiting the use of SM (58% in England vs. 25% in the U.S.). The differences suggest that software enhancements to deal with the technical problems of trustworthiness and information overload may be universally useful, but other barriers to use need to be addressed through organizational and policy measures

    Collaborative Evolution of a Dynamic Scenario Model for the Interaction of Critical Infrastructures

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    ABSTRACT This paper reviews current work on a model of the cascading effects of Critical Infrastructure (CI) failures during disasters. Based upon the contributions of 26 professionals, we have created a reliable model for the interaction among sixteen CIs. An internal CI model can be used as a core part of a number of larger models, each of which are tailored to a specific disaster in a specific location

    Case-Based Decision Support for Disaster Management

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    Disasters are characterized by severe disruptions of the society’s functionality and adverse impacts on humans, the environment, and economy that cannot be coped with by society using its own resources. This work presents a decision support method that identifies appropriate measures for protecting the public in the course of a nuclear accident. The method particularly considers the issue of uncertainty in decision-making as well as the structured integration of experience and expert knowledge
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