Tiered Approach to Resilience Assessment

Abstract

Regulatory agencies have long adopted a three-tier framework for risk assessment. We build on this structure to propose a tiered approach for resilience assessment that can be integrated into the existing regulatory processes. Comprehensive approaches to assessing resilience at appropriate and operational scales, reconciling analytical complexity as needed with stakeholder needs and resources available, and ultimately creating actionable recommendations to enhance resilience are still lacking. Our proposed framework consists of tiers by which analysts can select resilience assessment and decision support tools to inform associated management actions relative to the scope and urgency of the risk and the capacity of resource managers to improve system resilience. The resilience management framework proposed is not intended to supplant either risk management or the many existing efforts of resilience quantification method development, but instead provide a guide to selecting tools that are appropriate for the given analytic need. The goal of this tiered approach is to intentionally parallel the tiered approach used in regulatory contexts so that resilience assessment might be more easily and quickly integrated into existing structures and with existing policies.

Advancements to the Multi-System Model of Resilience: updates from empirical evidence

“…However, the use of self-report is an important first step in quantifying a theoretical model. The measure will need to undergo refinements and adaptations along with additional expansions of quantitative measurements of resilience, such as genomics and neurological mechanisms of cellular resilience ( Choi et al., 2019 ; Riordan and Nadeau, 2017 ), mapping of community social structures ( Ungar, 2018 ), and tiered structures of assessing risks and resilience ( Linkov et al., 2018 ) to supplement the self-report inventory.…”

Reliability-Oriented Design of Vehicle Electric Propulsion System Based on the Multilevel Hierarchical Reliability Model

“…Possible techniques and ways to solve the problem of a multistage reliabilitybased design optimization (MSRBDO) are based on Monte Carlo method and its application to aircraft conceptual design, which is described in detail in [7] and with subsequent corrections and development in [8]. In recent years, a multilevel (tiered) systematic approach has become increasingly widespread for analyzing and optimizing the various characteristics of technical systems, the theoretical foundations of which are described in detail in [9][10][11][12]. In the work of [9], the four-level (system, subsystem, assembly, and device-component) representation of variable-speed drive systems is proposed for the analysis of reliability, availability, and maintainability.…”

“…Bolvashenkov et al [10] describes the rules and properties of multilevel hierarchical representation of the vehicles' propulsion system life cycles and the optimal types of stochastic methods and models for use at each individual level. A new look at solving the problem of assessing various system resilience, based on the three-level (tiered) approach, is proposed in [11]. Ref.…”

Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events

“…() and Linkov et al. () have dedicated a lot of effort to investigating the motivation and transformation in government management policies and decisions to make system resilience implemented in complex interdependent infrastructure systems. Zhang, Mahadevan, Sankararaman, and Goebel () proposed to model the restoration behavior of system components as a nonlinear function, in which the remaining capacity (absorptive ability), the degree to which capability can be recovered (restoration ability), and the recovery speed of each component were considered.…”