The role of integrated modeling and simulation in disaster preparedness and emergency preparedness and response: The SUMMIT platform

Mapar, Jalal; Holtermann, Keith; Legary, Justin; Mahrous, Karim Magdi; Guzman, Katherine Dunphy; Heath, Zach; John, Charles J.; Mier, Steven Anthony; Mueller, Stephen; Pancerella, Carmen M.; Rothfuss, Andrew; Teclemariam, Nerayo P; Yang, Lynn I.; Yoshimura, Ann S.; Elkin, Gabriel R.; Norige, Adam; Fiedler, Lars

doi:10.1109/ths.2012.6459835

Cited by 10 publications

(7 citation statements)

References 1 publication

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“…Our work concerns simulation of emergency preparedness activities in addition to emergency exercises which usually involve healthcare workers (Skryabina et al 2017). The role of modeling and simulation for disaster preparedness is crucial for scenario planning, making modifications as well as what-if trade-off analyses for effective disaster response (Mapar et al 2012).…”

Section: Related Workmentioning

confidence: 99%

Public Health Management Facing Disaster Response: A Business Process Simulation Perspective

Sulis¹,

Leva²

2018

2018 Winter Simulation Conference (WSC)

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This paper focuses on process analysis and computational simulation to address public health management in case of disaster response. By adopting a Business Process Management perspective, we perform organization modeling and analysis as a management tool by comparing results from agent-based and discrete event simulations. We focus on the consequences of a mass tragedy, exploiting real data from an Emergency Department after a crowd disaster where people were stamped as a consequence of mass panic. Our models consider activities with corresponding durations, resources as well as patients arrivals based on real data. Finally, once models were validated by managers, simulations can be used to provide suggestions as well as to propose different set of responses to disaster stress in emergency management.

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Section: Related Workmentioning

confidence: 99%

Public Health Management Facing Disaster Response: A Business Process Simulation Perspective

Sulis¹,

Leva²

2018

2018 Winter Simulation Conference (WSC)

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“…For example, the VACCINE (Visual Analytics for Command, Control, and Interoperability Environments) Department of Homeland Security Center of Excellence has developed technologies to enhance situational awareness 1 in training and active emergencies. Independent efforts at Sandia National Laboratories have produced the Standard Unified Modeling, Mapping & Integration Toolkit (SUMMIT), 2 which has been used to support the National Level Exercise conducted annually by the Federal Emergency Management Agency. While these efforts have clearly made great strides in advancing emergency planning and response, there is no guarantee that critical infrastructures, such as the road transportation network on which emergency responses heavily depend, will be available in such times of crisis.…”

Section: Introductionmentioning

confidence: 99%

Algorithm to prioritize the restoration of a multiple facility, multiple-hazard road network

Basavaraj

Shekar

Fiondella

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part O:

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Transportation networks are one of several critical infrastructures on which first responders rely in order to deliver emergency services. However, there is no guarantee that a transportation network will be fully operational following a regional event, such as a hurricane or earthquake. Emergency planning and response tools should explicitly integrate this possibility to ensure the completeness of the risk assessment process. This paper considers the elevated vulnerability to which a community is exposed when disruptions in a transportation network slow emergency response. An average weighted vulnerability metric is defined to favor a network restoration strategy that quickly reduces emergency response times to their nominal levels. This metric is incorporated into an algorithm to prioritize network restoration, so that individuals who might require assistance are not exposed to prolonged periods of lengthy response times. The formulation considers a number of types of emergency response facilities and different types of hazard; the hazards can require a response from more than one type of facility. The utility of the approach is illustrated through a series of examples. Our results demonstrate that the approach can offer systematic guidance to reduce emergency response times after a partial or complete outage of a transportation network.

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“…To promote preparedness, the Resilient Systems Division of the Science and Technology Directorate sponsored researchers at Sandia National Labs to develop the SUMMIT (Standard Unified Modeling, Mapping, & Integration Tool) [2]. SUMMIT implements best-in-class simulation techniques for scientific phenomenon such as the propagation of a plume released from an explosive device and building damage that may result from an earthquake.…”

Section: Introductionmentioning

confidence: 99%

Mitigating the impact of transportation network disruptions on evacuation

Basavaraj

Noyes

Fiondella

et al. 2015

2015 IEEE International Symposium on Technologies for Homeland Security (HST)

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Homeland Security Presidential Directive-8 establishes a framework for national preparedness, including a vision, specific scenarios of concern, as well as a task list and target capabilities to be developed. The Department of Homeland Security Science and Technology Directorate has fostered enhanced resilience through sponsorship of tools to simulate the impact of the various disaster scenarios identified. However, the default simulations implemented for each of these scenarios implicitly assume availability of public transportation networks for task such as evacuation and response, yet such availability cannot be guaranteed without explicit consideration of the triggering events on transportation networks. Transportation is especially important as a majority of the scenarios indicate that over half of the affected population will need to be evacuated or selfevacuate and this population may be on the order of hundreds of thousands of people. Given the volume of traffic such scenarios may generate, the automobile transportation network will need to carry the majority of this flow of evacuees. Thus, methods to assess and mitigate the negative impact of transportation network disruptions on all aspects of disaster management, will be essential to reduce communal risk. This paper examines the criticality of public transportation in the context of the planning scenarios, suggesting methods to explicitly incorporate the impact of transportation network disruption. Methods based on dynamic traffic assignment are explored and applied to a small hypothetical scenario inspired by the 2010 Times Square car bombing attempt.

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The role of integrated modeling and simulation in disaster preparedness and emergency preparedness and response: The SUMMIT platform

Cited by 10 publications

References 1 publication

Public Health Management Facing Disaster Response: A Business Process Simulation Perspective

Public Health Management Facing Disaster Response: A Business Process Simulation Perspective

Algorithm to prioritize the restoration of a multiple facility, multiple-hazard road network

Mitigating the impact of transportation network disruptions on evacuation

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