Modeling Networks of Interdependent Infrastructure in Complex Urban Environments Using Open-Data

Antonio Di Pietro, Francesco Cavedon, Vittorio Rosato, George Stergiopoulos

2024

Abstract

Dependency effects between Critical Infrastructure (CI) elements represent key information needed to predict and analyze the impact of natural (or man-made) disturbances. The dependency links among CI elements and their associated weight are data whose availability is often complex to determine and are usually not available. Leveraging on several data supporting US and EU Directives for the Resilience and the Protection of CIs, the objective of the present work is to define a dependency network of elements of critical sectors extracted from available open-data. The resulting network is then studied in terms of its basic topological properties. The analysis of the network provides interesting clues about the properties and locations of critical points that can cause cascading failures. In addition, this information can form the basis for planning actions that mitigate the risk of cascading effects.

Paper Citation

in Harvard Style

Di Pietro A., Cavedon F., Rosato V. and Stergiopoulos G. (2024). Modeling Networks of Interdependent Infrastructure in Complex Urban Environments Using Open-Data. In Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS; ISBN 978-989-758-698-9, SciTePress, pages 62-73. DOI: 10.5220/0012743800003708

in Bibtex Style

@conference{complexis24,
author={Antonio Di Pietro and Francesco Cavedon and Vittorio Rosato and George Stergiopoulos},
title={Modeling Networks of Interdependent Infrastructure in Complex Urban Environments Using Open-Data},
booktitle={Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS},
year={2024},
pages={62-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012743800003708},
isbn={978-989-758-698-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS
TI - Modeling Networks of Interdependent Infrastructure in Complex Urban Environments Using Open-Data
SN - 978-989-758-698-9
AU - Di Pietro A.
AU - Cavedon F.
AU - Rosato V.
AU - Stergiopoulos G.
PY - 2024
SP - 62
EP - 73
DO - 10.5220/0012743800003708
PB - SciTePress