Capacity Building for an Infrastructure System in Case of Disaster Using the System's Associated Social and Technical Components

Choi, Juyeong; Naderpajouh, Nader; Yu, David J.; Hastak, Makarand

doi:10.1061/(asce)me.1943-5479.0000697

Cited by 58 publications

(20 citation statements)

References 53 publications

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“…One specific example is Horita et al's (2016) oDMN model that links data and decision-making in disaster management. Other disaster models focus on economic improvement (e.g., Eid and El-Adaway 2017) or risk (e.g., Choi et al 2019;Assaf 2011). These simulation models include models at a community level of aggregation that require interactions among infrastructure systems (e.g., storm drainage/ flooding and transportation).…”

Section: Literature Review Of Disaster Management Models With Applicamentioning

confidence: 99%

Smart Cities with Digital Twin Systems for Disaster Management

2020

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Exploiting smart cities with digital twins (SCDT) requires the integration of sensing and simulation across diverse infrastructure systems into community management. Community disaster management can provide a valuable foundation for SCDT development. The current work proposes and tests a conceptual model of a SCDT for disaster management and describes two threats to SCDT development that can be mitigated by focusing development on disaster management. Information loops, as opposed to individual components, are identified as a critical future focus of SCDT development. Primary contributions include support for SCDT development for disaster management, a conceptual SCDT for disaster management model, and a discussion of issues to be addressed in the development and deployment of SCDT for disaster management.

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Section: Literature Review Of Disaster Management Models With Applicamentioning

confidence: 99%

Smart Cities with Digital Twin Systems for Disaster Management

2020

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“…While a range of definitions have been used across disciplines ( Baggio et al., 2015 ; Linnenlueke, 2017), resilience in academic research most commonly refers to (in line with its dictionary definition) the ability of a system to perform under variety of conditions including disruptions and shocks ( Holling, 1973 ; Bruneau et al., 2003 ; Folke, 2006 ; Hollnagel et al., 2006 ; Weick and Sutcliffe, 2011 ; Aldrich, 2012 , 2019 ; Fletcher and Sarkar, 2013 ; Giustiniano et al., 2018 ; Choi et al., 2019 ). In this sense, the disruptions can be chronic (stressors) or abrupt (shocks) ( Hellbing, 2013 ; Sagara, 2018 ).…”

Section: Concept Of Resiliencementioning

confidence: 99%

“… How does high turn-over of teams (typical of projects) affect resilience? Project Temporary organisation Series of tasks and activities Project processes Project structure Resilience projects ( Chang-Richards et al., 2017 ; Steinfort, 2017 ; Choi et al., 2019 ), Project resilience ( Kutsch et al., 2015 ), vulnerability and uncertainty ( Floricel and Miller, 2001 ; Priemus et al., 2013 ; Wang, 2019 ) How should project sub-systems (e.g., individuals) or parent-systems (e.g., organisation, society) be designed to be/not to be resilient? How can engineering tools and methods for building resilience be utilised in projects?…”

Section: Framing Future Research On Resilience and Projectmentioning

confidence: 99%

Resilience and projects: An interdisciplinary crossroad

Naderpajouh

Matinheikki

Keeys³

et al. 2020

Project Leadership and Society

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Research communities across multiple disciplines have demonstrated an increasing concern about variations in the performance of social-ecological systems. In response to this concern, holistic research on resilience explores explanations for the performance of the systems under both predictable and unknown stressors and shocks. Embedded in broader systems, projects - which often involve a broad range of uncertainty and variability in performance outcomes - provide a fertile context in which to study resilience. On the other hand, projects involve temporary organising that is crucial in the extreme and changing contexts. In this essay, we frame a roadmap for the new theoretical domain of research at the intersection of resilience and projects. This framework intends to spark new research directions and can be used by scholars to investigate resilience at and across multiple levels-- individuals, groups/teams, projects, organisations, industries, and societies.

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“…The recently proposed stress-strain model (Choi et al 2019) focuses on this concept of extensibility and presents a resilience framework that captures the need to expand infrastructure capacity during a shock. The authors focus on the serviceability as the ability of "an infrastructure system to provide a pre-disaster level of service in a post-disaster situation" (Choi et al 2019). While this approach allows policy-makers to consider increased demand, it assumes that processes during crises do not change.…”

Section: Resilience and Rapid Adaptation Frameworkmentioning

confidence: 99%

Critical Airport Infrastructure Disaster Resilience: A Framework and Simulation Model for Rapid Adaptation

2020

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Resilient critical airport infrastructures affected by a disaster need to sustain minimal functionality and quickly resume full operation, while at the same time coping with the increased operational demands imposed by the unfolding disaster response. In this paper, we develop a resilience framework and model-driven approach that focuses on the ability of the infrastructure to rapidly adapt to a new steady state under these conditions. This requires both the extension of capacity as well as the adaptation of key processes. Through discrete event simulations, we study the implications of different policies to improve airport resilience under different disaster impact scenarios for a stylized case. Our results show that although decision-makers may be tempted to focus on short-term measures that can be implemented immediately, resilience is improved most by a combination of rapid process changes and longer-term measures that structurally increase airport capacity.

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Capacity Building for an Infrastructure System in Case of Disaster Using the System's Associated Social and Technical Components

Cited by 58 publications

References 53 publications

Smart Cities with Digital Twin Systems for Disaster Management

Smart Cities with Digital Twin Systems for Disaster Management

Resilience and projects: An interdisciplinary crossroad

Critical Airport Infrastructure Disaster Resilience: A Framework and Simulation Model for Rapid Adaptation

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