AbdelMagid, M H (2024) Navigating the anticipation-adaptation paradigms: Evaluating the decision-making pathways of critical infrastructure resilience planning. PhD thesis, Florida State University, USA.
Abstract
In the past century, the concept of resilience has emerged as a critical element in sustaining the performance of critical infrastructure systems amidst various challenges. Traditionally, resilience has been practiced through a risk-based utility maximization approach, where strategies and investments for resilience are evaluated against the likelihood and intensity of potential threats. This approach, while effective in certain contexts, has recently come under scrutiny due to the rapidly evolving frequencies and intensities of threats. These developments have prompted the scientific community to reevaluate the effectiveness of the conventional resilience approach in safeguarding critical infrastructure systems. In the past decade, a novel school of thought emerged, advocating for the concept of adaptation as the foundation of resilience management efforts within critical infrastructure systems. Proponents of this paradigm distinguish between adaptive resilience and traditional practices by designating the latter as embodying the principles of reliability and risk management. The advocates of the adaptive resilience school emphasize the necessity of adaptation in the face of complex, unpredictable challenges (of which deep uncertainties and surprise shocks are the focus of this work). These recent developments have led to a variety of pathways in resilient practice, precipitating an already existing divergence in the conceptualization of the resilience of complex systems. Moreover, a notable gap exists in the literature regarding how these pathways can be effectively organized to optimize resilience outcomes, particularly in situations where knowledge is limited. This dissertation investigates multiple resilience management pathways to understand the role of adaptation in the management of critical civil infrastructure systems. The dissertation is guided by the question: How can adaptive resilience be applied to macro-level complex infrastructure systems to facilitate the decision-making and planning of infrastructure assets and ensure the provision of sustainable and resilient systems?This work employed a set of qualitative and quantitative research methods to achieve the following: (1) define what adaptive resilience is, categorize existing planning efforts, and develop a framework that facilitates future efforts in the field of adaptive resilience research, (2) investigate the emerging challenges that require adaptive resilience measures, and the implications that hinder the adaptation of these measures, (3) analyze current trends in adaptive resilience practice, and investigate the gap between the acknowledged need for adaptive resilience and the practical adoption of such practices, (4) investigate the implications emerging challenges have on the current practices and the risks associated with neglecting such challenges, (5) determine the capacities of adaptive resilience, and (6) provide a future direction for efforts directed towards fostering an adaptive resilience culture within organizations committed to the resilience of critical infrastructure systems.This research expands the existing infrastructure resilience theory by investigating its limitations and redefining a number of critical concepts that -in our view- facilitate resilience efforts within these complex systems. This work provides a framework for agencies invested in resilience planning and development to enhance their efforts, and provide a clarification about various misconceptions which result in efforts that may be counterproductive to the objectives that motivate them. Overall, the resilience research of critical infrastructure systems is at a developmental stage where agreements on foundational concepts that guide a unified commitment for resilience are required to advance this important field of study, and create efforts that are not outpaced by the intensities and frequencies threats that motivate them.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Abdelrazig, Y |
| Uncontrolled Keywords: | culture; reliability; decision making; research methods; risk management; quantitative research; investment |
| Index terms: | effectiveness, risk management, paradigm, agreements, critical infrastructure, dissertation, quantitative research, adaptation, complex system, decision-making, agency, infrastructure resilience, maximization, commitment, strategy, face |
| Subjects: | data analysis and analytics, contract formation, risk management, risk assessment, systems engineering, infrastructure and transport systems, decision analysis, sociology, performance management, management, education and knowledge transfer, psychology, user focus, research dissemination and communication, algorithms |
| Topics: | Contract Administration, Organizational Design, Design Practice, Digital Applications, Business Strategy, Research Practice, Quality Management, Risk Management, Engineering Principles |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here