Abstract
It is rather difficult for the stakeholders to understand and implement the resilience concept and principles in the infrastructure asset management paradigm, as it demands quality data, holistic information integration and competent data analytics capabilities to identify infrastructure vulnerabilities, evaluate and predict infrastructure adaptabilities to different hazards, as well as to make damage restoration and resilience improvement strategies and plans. To meet the stakeholder’s urgent needs, this paper proposes an information elicitation and analytical framework for resilient infrastructure asset management. The framework is devised by leveraging the best practices and processes of integrated infrastructure asset management and resilience management in the literature, synergizing the common elements and critical concepts of the two paradigms, ingesting the state-of-the-art interconnected infrastructure systems resilience analytical approaches, and eliciting expert judgments to iteratively improve the derived framework. To facilitate the stakeholders in implementing the framework, two use case studies are given in this paper, depicting the detailed workflow for information integration and resilience analytics in infrastructure asset management. The derived framework is expected to provide an operational basis to the quantitative resilience management of civil infrastructure assets, which could also be used to enhance community resilience.
Highlights
Civil infrastructure systems are facing unprecedented challenges ranging from ageing assets, limited maintenance budget, surging facility usage to society’s outcry for quality services and natural hazards due to climate change [1]
These frameworks are of value to be investigated as we can identify and tease out the themes and processes emphasized in each framework, which facilitates the reconfiguration of these selected processes in our derived Resilient Civil Infrastructure Asset Management (RIAM) framework to reveal the potential interactions between infrastructure asset management (IAM) and resilience management (RM) analytical capabilities
This paper proposed a RIAM information elicitation and analytical framework that aimed to facilitate infrastructure stakeholders to operationalize resilience principles and practices into their existing asset management processes and systems
Summary
Civil infrastructure systems are facing unprecedented challenges ranging from ageing assets, limited maintenance budget, surging facility usage to society’s outcry for quality services and natural hazards due to climate change [1]. There have been myriad theories, models, tools, processes and frameworks related to infrastructure asset management (IAM), resilience management (RM), system reliability and vulnerability analysis, risk management, and emergency and disaster management [2,3]. It is still a daunting task for the stakeholders to use them effectively in making resilience improvement strategy, developing tactical and operational plans, monitoring execution, and optimizing performance. The study contributes to the integration of domain knowledge from diverse disciplines to make maximum use of existing theories, models, and frameworks to facilitate RIAM, and provides an operational approach to the RM of civil infrastructure systems, which could be used to enhance community resilience.
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