Improving risk assessment for interdependent urban critical infrastructures

Purpose: Urban critical infrastructures are highly interdependent not only due to their vicinity but also due to the increasing digitalization. In case of a security inci-dent, both the dynamics inside each infrastructure and interdependencies between them need to be considered to estimate the overall impact on a city. Methodology: An existing high-level model of dependencies between critical infra-structures is extended by incorporating more details on the individual infrastruc-ture's behavior. To this end, a literature review on existing models for specific sectors is conducted with a special focus on machine learning models such as neural net-works. Findings: Existing models for the dynamics of specific urban infrastructures are re-viewed and integration in an existing dependency model is discussed. A special focus lies on simulation models since the extended model should be used to evaluate con-sequences of a security incident in a city. Originality: Existing risk assessment approaches typically focus on one type of criti-cal infrastructures rather than on an entire network of interdependent infrastruc-tures. However due to the increasing number of interdependencies, a more holistic view is necessary while the dynamics inside each infrastructure should also be con-sidered.

Subjects

logistics

industry 4.0

digitalization

innovation

supply chain management

artificial intelligence

data science

DDC Class

330: Wirtschaft

380: Handel, Kommunikation, Verkehr

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publishedVersion

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https://creativecommons.org/licenses/by-sa/4.0/

Name

Koenig (2020) - Improving Risk Assessment for Interdependent Urban Critical Infrastructures.pdf

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934.38 KB

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Improving risk assessment for interdependent urban critical infrastructures