A Spatial Network Model for Civil Infrastructure System Development

Fu, Gaihua; Wilkinson, Sean; Dawson, RJ

doi:10.1111/mice.12204

Cited by 17 publications

(18 citation statements)

References 64 publications

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“…(4) Although the proposed algorithm can exactly identify the best defense strategy, the worst‐case attack scenario and the optimum repair sequence of damaged components, the computational time is still a main problem. In practice, CIs are usually large scale (Fu et al., ). Improving the solution technique for large‐scale CIs is the fourth direction for future research.…”

Section: Discussionmentioning

confidence: 99%

A Mathematical Framework to Optimize Critical Infrastructure Resilience against Intentional Attacks

Ouyang

Fang

2017

Computer aided Civil Eng

105

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This article establishes a tri-level decisionmaking model supporting critical infrastructure (CI) resilience optimization against intentional attacks. A novel decomposition algorithm is proposed to exactly identify the best pre-event defense strategy (protecting vulnerable components and building new lines), the worst-case attack scenario, and the optimal postevent repair sequence of damaged components. As different types of CIs have different flow models, this article mainly considers the direct current power flow model and the maximal flow model for illustrative purposes. The proposed framework is illustrated by a simple but representative case system with nine nodes, and main results include: (1) the marginal value of extra defense investment under low defense budget is more considerable for mitigating system resilience loss, especially under large intentional attacks; (2) no defense strategy is always the best under different attack budgets; (3) increasing amount of repair resources can dramatically enhance CI resilience, but makes the pre-event defense strategy less effective; (4) the use of maximal flow model can provide a lower bound estimation of the resilience loss from the power flow model; (5) the optimum defense strategy and the worst-case attack identified by minimizing CI resilience loss largely differ from those by minimizing CI vulnerability, where the latter does not consider the re- * To whom correspondence should be addressed. E-mail: fangy@ ethz.ch. covery actions. Finally, the algorithm complexity is analyzed by comparing with the enumeration method and by testing two larger electric power systems. C 2017 Computer-Aided Civil and Infrastructure Engineering.

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Section: Discussionmentioning

confidence: 99%

A Mathematical Framework to Optimize Critical Infrastructure Resilience against Intentional Attacks

Ouyang

Fang

2017

Computer aided Civil Eng

105

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“…Most past research on infrastructure decision‐making methodologies have generally assumed, explicitly or implicitly, that the infrastructure types are independent of others and therefore did not account for interdependencies. This seems to be the case particularly in the area of infrastructure activity scheduling, and is evident in the past practice and literature: for pavements (Pasupathy et al., ; Yao et al., ), water utilities (Nafi and Kleiner, ), bridges (Adey et al., ; Barone and Frangopol, ), and other infrastructure types (Fu et al., ; Memarzadeh and Pozzi, ; Boadi and Amekudzi, ).…”

Section: Introductionmentioning

confidence: 89%

A Methodology to Account for One‐Way Infrastructure Interdependency in Preservation Activity Scheduling

Alinizzi

Chen

Labi

et al. 2018

Computer aided Civil Eng

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This article develops an optimization framework for scheduling a programmable preservation activity for an infrastructure (primary) system that accounts for a specific context of interdependency between its maintenance phase and the operations phase of a neighboring (secondary) system. The framework identifies the optimal deterioration threshold of the primary system for the preservation activity, subject to a disruption in the operations of the neighboring system. The methodology also includes trade-off analysis using a biobjective genetic algorithm approach to accommodate the conflicting objectives associated with the costs and benefits of the programmed preservation activity. The framework provides decision makers with optimal/near optimal Pareto frontiers of the primary system's preservation activity candidate thresholds based on the costs and benefits associated with each candidate. The article demonstrates the developed framework using a case study involving colocated pavement and underground utility systems. The results of the case study show that it is feasible to use the developed framework to identify the optimal preservation activity timing for an infrastructure system whose level of service is subject to disruptions from a neighboring system. Overall, the results demonstrate that a disruptive event caused by a secondary system could influence the Pareto optimal solutions (activity thresholds) associated with the timing of a primary system's preservation activity.

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“…They present an index of resilience based on the evolution of efficiency of communication between citizens during the relocation of the population after an earthquake. Fu et al (2016) then provide a model which simulates the evolution of infrastructure networks. This model can be used to construct an infrastructure system by reducing cost, increasing efficiency, and improving resilience.…”

Section: Resiliencementioning

confidence: 99%

Vulnerability studies in the fields of transportation and complex networks: a citation network analysis

Sugishita

Asakura

2020

Public Transp

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In recent years, studies on network vulnerability have grown rapidly in the fields of transportation and complex networks. Even though these two fields are closely related, their overall structure is still unclear. In this study, to add clarity comprehensively and objectively, we analyze a citation network consisting of vulnerability studies in these two fields. We collect publication records from an online publication database, the Web of Science, and construct a citation network where nodes and edges represent publications and citation relations, respectively. We analyze the giant weakly connected component consisting of 705 nodes and 4,584 edges. First, we uncover main research domains by detecting communities in the network. Second, we identify major research development over time in the detected communities by applying main path analysis. Third, we quantitatively reveal asymmetric citation patterns between the two fields, which implies that mutual understanding between them is still lacking. Since these two fields deal with the vulnerability of network systems in common, more active interdisciplinary studies should have a great potential to advance both fields in the future.

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A Spatial Network Model for Civil Infrastructure System Development

Cited by 17 publications

References 64 publications

A Mathematical Framework to Optimize Critical Infrastructure Resilience against Intentional Attacks

A Mathematical Framework to Optimize Critical Infrastructure Resilience against Intentional Attacks

A Methodology to Account for One‐Way Infrastructure Interdependency in Preservation Activity Scheduling

Vulnerability studies in the fields of transportation and complex networks: a citation network analysis

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