TY - GEN
T1 - Integrated analytic simulation tools to support emergency management
AU - Burkhalter, Jeffrey A.
AU - Ehlschlaeger, Charles R.
AU - Morrison, Dawn M.
AU - Myers, Natalie R.
AU - Lu, Liqun
AU - Petit, Antoine
AU - Ouyang, Yanfeng
AU - David, Olaf
AU - Serafino, Francesco
AU - Patterson, David
AU - Jiang, Zhoutong
N1 - Publisher Copyright:
© 2018 SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2018
Y1 - 2018
N2 - This research effort is developing a computational framework to support federated models of complex urban systems and enable information support for planning and response in emergency management. Systems analysis has been advocated to support emergency management activities, and there are a number of individual domain models designed to represent various system elements. However, effective implementation of this approach has its challenges. Traditional system analysis is often performed at regional or country scales. Further, information collection tends to be reductionist in process focusing on mission before the operating environment. Thus, there is limited data available to support high resolution urban systems modeling beyond localized areas. However, dense urban environment complexity requires the ability to capture and integrate the interrelationships between subpopulations and infrastructural systems. This system of systems modeling approach supports the analysis of cascading effects through interdependent infrastructure networks and the anticipated impacts on the subpopulations it supports, such as ethnicity, social class, access to transportation, or previously available services. The results are expected to reduce analyst workload by generating geospatial products and systems perspectives of demographic and infrastructure characteristics. We will be presenting an integrated infrastructure system demonstrating the cascading effects of component failure(s) combined with the effects on neighborhood-scale populations. The results are delivered to end-users using a geospatial visualization tool that includes information about the quality of the data products and the ability of the data to support information critical to emergency planning and response.
AB - This research effort is developing a computational framework to support federated models of complex urban systems and enable information support for planning and response in emergency management. Systems analysis has been advocated to support emergency management activities, and there are a number of individual domain models designed to represent various system elements. However, effective implementation of this approach has its challenges. Traditional system analysis is often performed at regional or country scales. Further, information collection tends to be reductionist in process focusing on mission before the operating environment. Thus, there is limited data available to support high resolution urban systems modeling beyond localized areas. However, dense urban environment complexity requires the ability to capture and integrate the interrelationships between subpopulations and infrastructural systems. This system of systems modeling approach supports the analysis of cascading effects through interdependent infrastructure networks and the anticipated impacts on the subpopulations it supports, such as ethnicity, social class, access to transportation, or previously available services. The results are expected to reduce analyst workload by generating geospatial products and systems perspectives of demographic and infrastructure characteristics. We will be presenting an integrated infrastructure system demonstrating the cascading effects of component failure(s) combined with the effects on neighborhood-scale populations. The results are delivered to end-users using a geospatial visualization tool that includes information about the quality of the data products and the ability of the data to support information critical to emergency planning and response.
KW - complex modeling
KW - emergency planning
KW - infrastructure interdependency
KW - subpopulation
KW - transportation modeling
KW - urban systems
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U2 - 10.1117/12.2306523
DO - 10.1117/12.2306523
M3 - Conference contribution
AN - SCOPUS:85049693714
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Next-Generation Analyst VI
A2 - Llinas, James
A2 - Hanratty, Timothy P.
PB - SPIE
T2 - Next-Generation Analyst VI 2018
Y2 - 16 April 2018 through 17 April 2018
ER -