Multiobjective Stochastic Inoperability Decision Tree for Infrastructure Preparedness
Decision making for managing risks to critical infrastructure systems requires accounting for (1) the uncertain behavior of disruptive events; and (2) the interdependent nature of such systems that lead to large-scale inoperability. This paper integrates a dynamic risk-based interdependency model, the dynamic inoperability input-output model, with a multiobjective decision tree to analyze preparedness decisions. The use of a dynamic model allows for resilience and recovery decisions to be incorporated in the decision-making framework, and uncertainty is accounted for using probability distributions. The multiobjective inoperability decision tree is applied to the study of transportation infrastructure disruptions, namely closures of an inland waterway and an inland waterway port. A data-driven multiregional study of the Port of Catoosa in Oklahoma, along the Mississippi River Navigation System, is discussed and suggests careful consideration when investing larger amounts toward port security.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10760342
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Supplemental Notes:
- © 2013 American Society of Civil Engineers
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Authors:
- Baroud, Hiba
- Barker, Kash
- Hank Grant, F
- Publication Date: 2014-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 04013012
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Serial:
- Journal of Infrastructure Systems
- Volume: 20
- Issue Number: 2
- Publisher: American Society of Civil Engineers
- ISSN: 1076-0342
- EISSN: 1943-555X
- Serial URL: http://ascelibrary.org/journal/jitse4
Subject/Index Terms
- TRT Terms: Decision making; Disaster preparedness; Disasters; Infrastructure; Interoperability; Ports; Risk management; Security; Stochastic processes; Uncertainty
- Identifier Terms: Inoperability Input-Output Model; Tulsa Port of Catoosa
- Subject Areas: Marine Transportation; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01505481
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Jan 27 2014 11:20AM