Mahabadi, Z;
Varga, L;
Dolan, T;
(2023)
A survey on multilayer networks modelled to assess robustness in infrastructure systems.
Proceedings of the Institution of Civil Engineers: Smart Infrastructure and Construction
10.1680/jsmic.22.00015.
(In press).
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Abstract
The development of modern societies places particular demands on the consistent performance of infrastructure systems. Because multilayer network models are capable of representing the interdependencies between infrastructure components, they have been widely used to analyse the robustness of infrastructure systems. This present study is a systematic review of literature, published since 2010. It aims to investigate how multilayer network models have been used in analysing the robustness of infrastructure systems. According to findings, percolation theory was the most popular method used in about 57% of papers. Regarding the properties, coupling strength and node degree were the most common while directed links and feedback conditions were the least common. The following gaps were identified which provide opportunities for further research. These include the absence of models based on real-world data and the need for models that make fewer simplifying assumptions about complex systems. No papers considered all potential properties, and their effect on boosting or weakening each other’s effect. By considering all properties, the importance of different properties on the robustness of infrastructure systems can be quantified and compared in future studies.
Type: | Article |
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Title: | A survey on multilayer networks modelled to assess robustness in infrastructure systems |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1680/jsmic.22.00015 |
Publisher version: | https://doi.org/10.1680/jsmic.22.00015 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. - Acknowledges EPSRC grant EP/R017727/1 relating to UK Collaboratorium for Research on Infrastructure and Cities (UKCRIC). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10172268 |
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