An applied complex systems framework for risk-based decision-making in infrastructure engineering

Gómez, Cristina; Sánchez-Silva, Mauricio; Dueñas‐Osorio, Leonardo

doi:10.1016/j.strusafe.2014.03.011

Cited by 15 publications

(7 citation statements)

References 41 publications

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“…They studied the interaction between these systems and the challenges raised by their co-evolution and reaction to incidents. Gómez et al (2014) proposed a method for clustering a network into agents called decision units. This method deals with the complexity by exploring relationships between agents' local decisions and their impact at the global level.…”

Section: Incidents Propagationmentioning

confidence: 99%

11. Cyber-Physical Threat Intelligence for Critical Infrastructures Security

Atigui¹,

Hamdi²,

Lammari³

et al. 2020

Cyber-Physical Threat Intelligence for Critical Infrastructures Security: A Guide to Integrated Cyber-Physical Protection of Mo

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Section: Incidents Propagationmentioning

confidence: 99%

11. Cyber-Physical Threat Intelligence for Critical Infrastructures Security

Atigui¹,

Hamdi²,

Lammari³

et al. 2020

Cyber-Physical Threat Intelligence for Critical Infrastructures Security: A Guide to Integrated Cyber-Physical Protection of Mo

View full text Add to dashboard Cite

“…Fang and Zio (2013) proposed a general framework for multi-scaled representation of critical infrastructure networks, which is based on a recursive unsupervised spectral clustering method, and showed how this representation can be used for network reliability analysis at different scales. Gómez et al (2014) used agent-based modeling for developing an efficient integrative methodology for risk assessment and management of infrastructure networks.…”

Section: Network Reliability Problemmentioning

confidence: 99%

Reliability of Critical Infrastructure Networks: Challenges

Zuev

Beer

2018

Resilience Engineering for Urban Tunnels

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Critical infrastructures form a technological skeleton of our world by providing us with water, food, electricity, gas, transportation, communication, banking, and finance. Moreover, as urban population increases, the role of infrastructures become more vital. In this paper, we adopt a network perspective and discuss the ever growing need for fundamental interdisciplinary study of critical infrastructure networks, efficient methods for estimating their reliability, and costeffective strategies for enhancing their resiliency. We also highlight some of the main challenges arising on this way, including cascading failures, feedback loops, and cross-sector interdependencies.

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“…This is because of the proposed network model being connectivity-based (Ouyang and Fang, 2017;Cavalieri et al, 2014;Cavallaro et al, 2014;Franchin and Cavalieri, 2015;Bettencourt and West, 2010). Hence, social agents are not engaging dynamically with the physical network as assumed in recent agent-based approaches (Reilly et al, 2015;Sharkey et al, 2015;Gómez et al, 2014;Nejat and Damnjanovic, 2012;Zhang et al, 2005). In this study, the link between the physical and the social component of the urban system is represented by a topological abstraction of where people live.…”

Section: Urban System Modelingmentioning

confidence: 99%

Alternative Resilience Indices for City Ecosystems Subjected to Natural Hazards

Bozza

Asprone

Parisi

et al. 2017

Computer aided Civil Eng

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Prompt and efficient responses against natural hazards are needed to build cities capable of withstanding disasters, namely resilient cities. This study aims at presenting and testing synthetic resilience indices over a real urban center threatened by multiple hazards, for which a global overview of city performance is requested. An integrated framework is proposed for quantitative resilience assessment by way of time‐independent synthetic indices. The approach proposed is in accordance to the complex network theory and uses a global indicator of the system connectivity to assess the city functioning also in case of network disruption. Resilience is evaluated as a proxy for systemic urban damage by modeling a city ecosystem as a hybrid social–physical network. Seismic and landslide scenario analyses are performed for the city of Sarno, Italy. A probability‐based approach is used to compute urban vulnerability. Subsequently, to highlight changes in results according to the type of disaster, a recovery strategy is simulated to assess efficiency and damage states in each recovery stage, and urban resilience.

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An applied complex systems framework for risk-based decision-making in infrastructure engineering

Cited by 15 publications

References 41 publications

11. Cyber-Physical Threat Intelligence for Critical Infrastructures Security

11. Cyber-Physical Threat Intelligence for Critical Infrastructures Security

Reliability of Critical Infrastructure Networks: Challenges

Alternative Resilience Indices for City Ecosystems Subjected to Natural Hazards

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