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A platform for research: civil engineering, architecture and urbanism
Vulnerability Assessment of Critical Infrastructure, Associated Industries, and Communities during Extreme Events
Critical infrastructure play an important role in functioning of industries and communities and also responding against natural disasters to reduce their impacts (i.e., routes and bridges for evacuation and public buildings for sheltering). Due to global warming, there is an increase in the frequency of extreme weather events which pose a high risk of functional and structural failure of critical infrastructure. Recent natural disasters (i.e., Hurricane Katrina, 2008 Midwest Flood, etc.) have exposed the vulnerability of critical infrastructure in the U.S. Therefore, it is important for the emergency-related agencies to identify and fortify the vulnerable critical infrastructure ahead of time to significantly reduce the potential damage due to floods. In this paper a decision support system (DSS) using Bayesian Network theory and System Dynamics Simulation method is presented for vulnerability assessment of critical infrastructure. This DSS has been developed to support emergency agencies and industries to prepare customized mitigation strategies and plans for preparedness, response, and recovery using the criticality and vulnerability analyses.
Vulnerability Assessment of Critical Infrastructure, Associated Industries, and Communities during Extreme Events
Critical infrastructure play an important role in functioning of industries and communities and also responding against natural disasters to reduce their impacts (i.e., routes and bridges for evacuation and public buildings for sheltering). Due to global warming, there is an increase in the frequency of extreme weather events which pose a high risk of functional and structural failure of critical infrastructure. Recent natural disasters (i.e., Hurricane Katrina, 2008 Midwest Flood, etc.) have exposed the vulnerability of critical infrastructure in the U.S. Therefore, it is important for the emergency-related agencies to identify and fortify the vulnerable critical infrastructure ahead of time to significantly reduce the potential damage due to floods. In this paper a decision support system (DSS) using Bayesian Network theory and System Dynamics Simulation method is presented for vulnerability assessment of critical infrastructure. This DSS has been developed to support emergency agencies and industries to prepare customized mitigation strategies and plans for preparedness, response, and recovery using the criticality and vulnerability analyses.
Vulnerability Assessment of Critical Infrastructure, Associated Industries, and Communities during Extreme Events
Oh, Eun Ho (author) / Deshmukh, Abhijeet (author) / Hastak, Makarand (author)
Construction Research Congress 2010 ; 2010 ; Banff, Alberta, Canada
Construction Research Congress 2010 ; 449-469
2010-05-04
Conference paper
Electronic Resource
English
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