An Integrating Framework for Modeling and Simulation for Emergency Response

Published

September 1, 2004

Author(s)

Sanjay Jain, Charles R. McLean

Abstract

A number of modeling and simulation tools have been developed and more are being developed for emergency response applications. Each of these tools has focused on a specific aspect of the selected problem, for example, the modeling of spread of an agent using plume simulation. The tools do not attempt to address the overall emergency incident response. A set of tools that can help develop and evaluate coordination among plans for multiple aspects of the response can significantly improve the response capabilities. These tools need to be integrated together to reduce the time and effort for their use. A framework is proposed to ensure that modeling and simulation tools can be systematically integrated together to address the overall response. The framework addresses emergency response on three axes ? disaster event, entities of interest and applications. It can help identify the gaps in availability of modeling and simulation tools and help define the integration needs. It is designed to allow use of modeling and simulation across applications in the areas of planning, training, identification and detection, vulnerability analysis and real time response support. The framework can be rapidly implemented with the development of interoperability standards for modeling and simulation tools for emergency response. Together, the framework and interoperability standards can significantly enlarge the use of modeling and simulation for emergency response. In turn, it will substantially improve the nation?s emergency response capabilities.

Citation

Journal of Homeland Security and Emergency Management

Pub Type

Journals

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Keywords

emergency response, framework, homeland security, integration, interoperability

Citation

Jain, S. and McLean, C. (2004), An Integrating Framework for Modeling and Simulation for Emergency Response, Journal of Homeland Security and Emergency Management, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822205 (Accessed March 13, 2025)