Criticality assessment for a regional maritime economy
DOI:
https://doi.org/10.5055/jem.0502Keywords:
criticality assessment, MSHARPP model, multiattribute modelAbstract
Objective: To identify and assess the criticality for infrastructure assets and better understand their dependencies, interdependencies, and supply chain reliance.
Design: This study used a modified mission impact, symbolism, history, accessibility, recognizability, population, and proximity model combined with a deliberative process with regional subject matter experts.
Setting: Hampton roads Virginia maritime area.
Participants: Emergency managers, US Corps of Engineers, US Coast Guard, law enforcement, railroad industry, intelligence community, Virginia Department of Emergency Management, Virginia Department of Transportation, and Virginia Port.
Main outcome: A prioritized list of one-to-n critical assets in the maritime area and identification of up and downstream dependencies.
Results: The final most highly critical grouping included 26 out of 277 assets including especially important road bridges and tunnels, rail bridges and choke points, shipping channels, and marine terminals.
Conclusions: Subject matter experts identified 277 critical infrastructure assets in the Hampton Roads Maritime Area (HRMA). From these, 26 assets that were deemed to be significantly more critical than others. From this reduced list, 12 were further assessed to be most important. The selection process provided significant support to those responsible for providing protection, mitigating potential damage, and planning recovery and allows informed, objective expenditures of limited funding. Additional key findings include the following:
Proximity, or the potential for an asset that has been damaged or destroyed to cause direct harm to adjacent assets in the surrounding community, drives criticality in the HRMA more than any other factor in the model.
A small group of 26 out of 277 assets exerts an outsized impact in the HRMA—nearly 20 percent of criticality—due to the potential consequences associated with their destruction or disruption.
Road transportation, particularly tunnels, represents the primary dependency among critical assets. Major road and maritime transportation assets rely heavily on federal and state organizations to maintain their function.
Supply chain: The critical asset group supports or supplies many missions and industries both nationally and internationally, including defense, manufacturing, commercial enterprise, and the movement of raw commodities.
References
Virginia Department of Transportation: Hampton roads climate impact quantification initiative, 2016. Available at https://tinyurl.com/y9k4obhu. Accessed May 19, 2017.
Sandia National Laboratories: Development of an urban resilience analysis framework, SAND2016-2161, 2016. Available at https://tinyurl.com/zw4opca. Accessed May 26, 2017.
USN: The Navy Mid-Atlantic Report on economic impact of navy assets. Navy Region Mid-Atlantic, 2016. Available at https://tinyurl.com/ya9yb6we. Accessed June 15, 2017.
Ezell B, Robinson R, Foytik P, et al.: Cyber risk to transportation, industrial control systems, and traffic signal controllers. Environ Syst Decis. 2013; 33(4), 508-516.
Robinson R, Ezell B, Foytik P, et al.: Cyber risk to transportation, industrial control systems, and traffic signal controllers. Cyber Secur Inf Syst 2013; 1(4): 1-8.
Raymond A. Mason School of Business: The Fiscal Year 2013 Virginia Economic Impacts of the Port of Virginia. William and Mary, Williamsburg, VA: Raymond A. Mason School of Business, 2014. Available at https://tinyurl.com/yc4xfvj2. Accessed June 30, 2017. 7. U.S. Department of Homeland Security Office of Infrastructure Protection: Hampton Roads Regional Resiliency Assessment Program. Washington DC: US Department of Homeland Security Office of Infrastructure Protection, 2013.
Schnaubelt C, Larson E, Boyer M: Vulnerability Assessment Method. Washington DC: Arroyo Center, RAND Corporation, 2014.
Kirkwood CW: Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets. Belmont, CA: Duxbury Press, 1997.
Keefer D, Kirkwood CW, Corner JL: Perspective on decision analysis applications. In Edwards W, Miles R, von Winterfeldt D, eds. Advances in Decision Analysis. Cambridge, UK: Cambridge University Press, 2007: 154-176.
Clemen R, Reilly T: Making Hard Decisions with Decision Tools Suite Update Edition. Washington DC: South-Western College Publishing, 2004.
Ezell B: Infrastructure vulnerability assessment model (I-VAM). Risk Anal. 2007; 27(3): 571-583.
Presidential Policy Directive (PDD-21): Critical Infrastructure Security and Resilience. Washington DC: The White House, 2013.
Published
How to Cite
Issue
Section
License
Copyright 2007-2023, Weston Medical Publishing, LLC and Journal of Emergency Management. All Rights Reserved