Technical Papers
Jan 29, 2019

Assessing Resilience Model Responsiveness in the Context of Stakeholder Preferences in Decision Support Systems

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 5, Issue 2

Abstract

From Presidential Policy Directive 21, professional societies’ national meetings, to major United Nations initiatives, resilience has captured the attention of powerful stakeholders. Resilience models focus on system performance and threats to the system. Few models consider the preferences of the stakeholders of the systems. This course of study investigates the effect of incorporating stakeholder preferences into four existing resilience models: Resilience Factor, Quotient Resilience, Total Quotient Resilience, and Integral Resilience. The preferences of interest are stakeholder time horizon, endogenous performance preference, and intertemporal substitutability of system performance. The resultant eight illustrative models are comparatively examined for sensitivity to changes in system performance and stakeholder preferences using four fundamental system performance and stakeholder preference models. A city infrastructure system dynamics simulation serves as a case study for the eight resilience models. The resilience models rank the preferred courses of action for improving the infrastructure system. The study concludes that the Extended Integral Resilience model most effectively differentiates among the alternative courses of action.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 5Issue 2June 2019

History

Received: Sep 28, 2017
Accepted: Sep 17, 2018
Published online: Jan 29, 2019
Published in print: Jun 1, 2019
Discussion open until: Jun 29, 2019

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Senior Professional Staff, Johns Hopkins Univ. Applied Physics Laboratory, 11100 Johns Hopkins Rd., Laurel, MD 20723 (corresponding author). ORCID: https://orcid.org/0000-0003-2935-2651. Email: [email protected]
Bilal Ayyub, Ph.D., Dist.M.ASCE [email protected]
P.E.
Professor of Civil and Environmental Engineering, and Director of the Center for Technology and Systems Management, Univ. of Maryland, College Park, MD 20742; Chair Professor, School of Civil Engineering, Tongji Univ., Shanghai 20092, PR China. Email: [email protected]

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