A domain ontology on cascading effects in critical infrastructures based on a systematic literature review

Toscano, Beatriz; Fernandes, André; Silva, Miguel Mira da; Santoro, Flávia Maria

doi:10.1504/ijcis.2022.120679

Cited by 3 publications

(3 citation statements)

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“…Characteristics of different zones have been considered to obtain the probabilities of the domino effect. Cascading failure in nature has severe impact on infrastructures, and as some infrastructures are interdependent (Laugé et al , 2013), the probability of failure becomes intensified (Toscano et al , 2022). In this work, we considered the interdependency between electricity, gas, hilly regions on domino effect in nature because these interdependencies will intensify the probability of domino effect.…”

Section: Introductionmentioning

confidence: 99%

“…We considered in this work the interdependency of critical infrastructure on domino effect, and the critical infrastructure includes telecommunication, transportation, energy supply, etc. (Toscano et al , 2022). The interdependency of critical infrastructure can be geographic, cyber, physical or logical interdependencies, and the risk associated with cascading disaster can be minimized by protecting the critical infrastructures (Toscano et al , 2022).…”

Section: Introductionmentioning

confidence: 99%

“…(Toscano et al , 2022). The interdependency of critical infrastructure can be geographic, cyber, physical or logical interdependencies, and the risk associated with cascading disaster can be minimized by protecting the critical infrastructures (Toscano et al , 2022). In this regard, Rehak et al (2018) pointed out that the improvement of the concerned critical infrastructures is a managerial character, and security measures can contribute to improve the situation.…”

Section: Introductionmentioning

confidence: 99%

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Emergency resource storage facility location problem considering domino effect after a disaster

Chowdhury

Ghosh

Mahamud

et al. 2023

JHLSCM

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Purpose The earth is facing challenges to work for the survival of human life during domino effect disasters. The emergency resource storage locations should be selected considering the probability of domino effect disasters. The first purpose of this study is to select the storage locations where domino effect probability is less. And second, facility development cost and transportation costs and costs for unutilized capacity have been optimized. Design/methodology/approach The work is a multiobjective optimization problem and solved with weighted sum approach. At first, the probabilities of domino effect due to natural disasters are calculated based on the earthquake zones. Then with that result along with other necessary data, the location to set up storage facilities and the quantities of resources that need to be transported has been determined. Findings The work targeted a country, Bangladesh for example. The authors have noticed that Bangladesh is currently storing relief items at warehouse which is under the domino effect prone region. The authors are proposing to avoid this location and identified the optimized cost for setting up the facilities. In this work, the authors pointed out which location has high probability of domino effect and after avoiding this location whether cost can be optimized, and the result demonstrated that this decision can be economical. Originality/value Disaster response authorities should try to take necessary proactive steps during cascading disasters. The novelty of this work is determining the locations to select storage facilities if the authors consider the probability of the domino effect. Then a facility location optimization model has been developed to minimize the costs. This paper can support policymakers to assess the strategies for selecting the location of emergency resource facilities.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%