Modelling and simulation for critical infrastructure interdependency assessment: a meta-review for model characterisation

Chloé, Griot

doi:10.1504/ijcis.2010.037453

Cited by 25 publications

(4 citation statements)

References 24 publications

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“…Economic theory-based approaches 5. Network-based approaches A number of earlier studies (Bloomfield et al 2009;Eusgeld et al 2008;Griot 2010;Ouyang 2014;Pederson et al 2006;Rinaldi 2004;Satumtira and Dueñas-Osorio 2010;Yusta et al 2011) reviewed the methodological approaches to model infrastructure interdependencies. These studies, however, reviewed the approaches mechanistically without explicitly considering the modeling objectives and the stakeholder concerns.…”

Section: Approaches To Assess Infrastructure Interdependenciesmentioning

confidence: 99%

Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges

2015

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Greater urbanization does not only mean higher concentrations of population and economic activities, but also increasing complexity and infrastructure interdependencies in the delivery of critical urban services such as energy, water, transport and communication. This paper reviews the current literature in these areas and identifies critical research and development challenges from the perspective-and for the benefit-of key stakeholders, considering their primary decision goals and context. From this vantage point, the critical evaluation framework is extended to include a classification of disruptions and extreme events and an overview of infrastructure modeling approaches and broader socioeconomic impacts assessment methods. Mapping the range of modeling and assessment methods against different decision contexts, critical gaps in knowledge and tools are identified to support the latter. Deep uncertainties characterize the challenge as each major component in the information and decision-making chain-from the frequency and intensity of a disruptive event, to assessing the first-order and immediate impacts of an infrastructure failure, to estimating the nature, extent and impact of cascading failuresmultiplies the uncertainties. The emerging research challenges to deal with these interdependencies and uncertainties are discussed.

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Section: Approaches To Assess Infrastructure Interdependenciesmentioning

confidence: 99%

Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges

2015

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“…It refers to the amount of input data required to conduct a certain type of simulation (Griot, 2010). There are many measuring criteria of input data, according to Satumtira and Dueñas-Osorio (2010) and Eusgeld et al (2008), which depends on the information about the economic input-output quantities, topology and layout of the system, component characteristics and functioning, policy and technical parameters, etc.…”

Section: Data Demandmentioning

confidence: 99%

Simulation of transportation infrastructures resilience: a comprehensive review

Dong

Shan

Hwang

2022

Environ Sci Pollut Res

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Despite the increasing simulation methods used by the research of transportation infrastructure resilience in the past decade, a comprehensive review of these simulation methods is lacking. Thus, this paper conducted an in-depth review of the major simulation methods adopted by the existing transportation infrastructure resilience literature, which are Monte Carlo simulation, network-based simulation, numerical simulation, and agent-based modeling and simulation. The four simulation methods were reviewed from three perspectives, namely purposes of simulation, data demands, and modeling approaches. Finally, based on the review results, this paper proposed three directions for that the research may go towards in the future. This paper contributes to the current body of knowledge by reviewing the simulation methods adopted by the research of transportation infrastructure resilience. This paper is useful to the practice as well, as it provides practitioners with a holistic view of the practical application of transportation infrastructure resilience simulation, which can enhance their knowledge and skills in this regard.

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“…There are many references classifying the modelling approaches as well as the evaluation criteria (Bloomfield et al, 2009;Bloomfield et al, 2008;Casalicchio et al, 2004;Ghorbani & Bagheri, 2008;Glass et al, 2003;Peerenboom & Fisher, 2008;Pye & Warren, 2006;Rigole & Deconinck, 2006;Schmitz et al, 2007;Solano, 2010;Xiao et al, 2008) . Specifically, Griot (2010) has conducted a meta-review of 12 studies on infrastructure interdependency assessment and suggested a list of 11 criteria and 25 sub-criteria for characterizing each type of models. Similarly, Pederson et al (2006) have conducted a comprehensive overview of methods and models using six criteria: infrastructures, modelling and simulation techniques, integrated vs. coupled models, hardware/software requirements, intended user and maturity level.…”

Section: Infrastructure Interdependenciesmentioning

confidence: 99%

RV-DSS: Towards a resilience and vulnerability- informed decision support system framework for interdependent infrastructure systems

Hajializadeh

Imani

2021

Computers & Industrial Engineering

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Modelling and simulation for critical infrastructure interdependency assessment: a meta-review for model characterisation

Cited by 25 publications

References 24 publications

Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges

Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges

Simulation of transportation infrastructures resilience: a comprehensive review

RV-DSS: Towards a resilience and vulnerability- informed decision support system framework for interdependent infrastructure systems

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