Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience

abstract: The resilience of infrastructure essential to public health, safety, and well-being remains a priority among Federal agencies and institutions. National policies and guidelines enacted by these entities call for a holistic approach to resilience and effectively acknowledge the complex, mul...

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Other Authors: Thomas, John E. (Author)
Format: Doctoral Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.43933
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spelling ndltd-asu.edu-item-439332018-06-22T03:08:09Z Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience abstract: The resilience of infrastructure essential to public health, safety, and well-being remains a priority among Federal agencies and institutions. National policies and guidelines enacted by these entities call for a holistic approach to resilience and effectively acknowledge the complex, multi-organizational, and socio-technical integration of critical infrastructure. However, the concept of holism is seldom discussed in literature. As a result, resilience knowledge among disciplines resides in near isolation, inhibiting opportunities for collaboration and offering partial solutions to complex problems. Furthermore, there is limited knowledge about how human resilience and the capacity to develop and comprehend increasing levels of complexity can influence, or be influenced by, the resilience of complex systems like infrastructure. The above gaps are addressed in this thesis by 1) applying an Integral map as a holistic framework for organizing resilience knowledge across disciplines and applications, 2) examining the relationships between human and technical system resilience capacities via four socio-technical processes: sensing, anticipating, adapting, and learning (SAAL), and 3) identifying an ontological framework for anticipating human resilience and adaptive capacity by applying a developmental perspective to the dynamic relationships between humans interacting with infrastructure. The results of applying an Integral heuristic suggest the importance of factors representing the social interior like organizational values and group intentionality may be under appreciated in the resilience literature from a holistic perspective. The analysis indicates that many of the human and technical resilience capacities reviewed are interconnected, interrelated, and interdependent in relation to the SAAL socio-technical processes. This work contributes a socio-technical perspective that incorporates the affective dimension of human resilience. This work presents an ontological approach to critical infrastructure resilience that draws upon the human resilience, human psychological development, and resilience engineering literatures with an integrated model to guide future research. Human mean-making offers a dimensional perspective of resilient socio-technical systems by identifying how and why the SAAL processes change across stages of development. This research suggest that knowledge of resilient human development can improve technical system resilience by aligning roles and responsibilities with the developmental capacities of individuals and groups responsible for the design, operation and management of critical infrastructures. Dissertation/Thesis Thomas, John E. (Author) Seager, Thomas P (Advisor) Clark, Susan (Committee member) Cloutier, Scott (Committee member) Fisher, Erik (Committee member) Arizona State University (Publisher) Civil engineering Environmental engineering Sustainability critical infrastructure holistic human development resilience sociotechnical eng 159 pages Doctoral Dissertation Engineering 2017 Doctoral Dissertation http://hdl.handle.net/2286/R.I.43933 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2017
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Civil engineering
Environmental engineering
Sustainability
critical infrastructure
holistic
human development
resilience
sociotechnical
spellingShingle Civil engineering
Environmental engineering
Sustainability
critical infrastructure
holistic
human development
resilience
sociotechnical
Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience
description abstract: The resilience of infrastructure essential to public health, safety, and well-being remains a priority among Federal agencies and institutions. National policies and guidelines enacted by these entities call for a holistic approach to resilience and effectively acknowledge the complex, multi-organizational, and socio-technical integration of critical infrastructure. However, the concept of holism is seldom discussed in literature. As a result, resilience knowledge among disciplines resides in near isolation, inhibiting opportunities for collaboration and offering partial solutions to complex problems. Furthermore, there is limited knowledge about how human resilience and the capacity to develop and comprehend increasing levels of complexity can influence, or be influenced by, the resilience of complex systems like infrastructure. The above gaps are addressed in this thesis by 1) applying an Integral map as a holistic framework for organizing resilience knowledge across disciplines and applications, 2) examining the relationships between human and technical system resilience capacities via four socio-technical processes: sensing, anticipating, adapting, and learning (SAAL), and 3) identifying an ontological framework for anticipating human resilience and adaptive capacity by applying a developmental perspective to the dynamic relationships between humans interacting with infrastructure. The results of applying an Integral heuristic suggest the importance of factors representing the social interior like organizational values and group intentionality may be under appreciated in the resilience literature from a holistic perspective. The analysis indicates that many of the human and technical resilience capacities reviewed are interconnected, interrelated, and interdependent in relation to the SAAL socio-technical processes. This work contributes a socio-technical perspective that incorporates the affective dimension of human resilience. This work presents an ontological approach to critical infrastructure resilience that draws upon the human resilience, human psychological development, and resilience engineering literatures with an integrated model to guide future research. Human mean-making offers a dimensional perspective of resilient socio-technical systems by identifying how and why the SAAL processes change across stages of development. This research suggest that knowledge of resilient human development can improve technical system resilience by aligning roles and responsibilities with the developmental capacities of individuals and groups responsible for the design, operation and management of critical infrastructures. === Dissertation/Thesis === Doctoral Dissertation Engineering 2017
author2 Thomas, John E. (Author)
author_facet Thomas, John E. (Author)
title Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience
title_short Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience
title_full Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience
title_fullStr Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience
title_full_unstemmed Human Resilience and Development in Coupled Socio-technical Systems: A Holistic Approach to Critical Infrastructure Resilience
title_sort human resilience and development in coupled socio-technical systems: a holistic approach to critical infrastructure resilience
publishDate 2017
url http://hdl.handle.net/2286/R.I.43933
_version_ 1718701372984000512