Modeling Fault Dynamics of Interdependent Assets in Complex Urban Environments Using Open-Data: Extended Version

Dependency effects between Critical Infrastructure (CI) elements are essential for predicting the impact of disturbances, but such data is often scarce. This study builds a dependency network of critical sectors using open data and guidelines from the US and EU Directives on Critical Infrastructures. Focusing on the Marche region (Italy), particularly the city of Ancona, the network is analyzed to identify key nodes critical for preventing cascading failures. Centrality measures highlight essential infrastructure like hospitals and transport hubs, which are crucial for network resilience. The insights provided can support decision-makers in prioritizing interventions and developing strategies to enhance infrastructure resilience and mitigate the risk of cascading failures.

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Publication Details

Journal
SN Computer Science
Published
2025-06-19
DOI
https://doi.org/10.1007/s42979-025-04037-7
Citations
1
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.95
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article

Modeling Fault Dynamics of Interdependent Assets in Complex Urban Environments Using Open-Data: Extended Version

Antonio Di Pietro, George Stergiopoulos, Vittorio Rosato, Francesco Cavedon
1 citations
SN Computer Science
Infrastructure Resilience and Vulnerability Analysis
0.95
article

Modeling Fault Dynamics of Interdependent Assets in Complex Urban Environments Using Open-Data: Extended Version

Antonio Di Pietro, George Stergiopoulos, Vittorio Rosato, Francesco Cavedon
article en
1 citations

Abstract

Dependency effects between Critical Infrastructure (CI) elements are essential for predicting the impact of disturbances, but such data is often scarce. This study builds a dependency network of critical sectors using open data and guidelines from the US and EU Directives on Critical Infrastructures. Focusing on the Marche region (Italy), particularly the city of Ancona, the network is analyzed to identify key nodes critical for preventing cascading failures. Centrality measures highlight essential infrastructure like hospitals and transport hubs, which are crucial for network resilience. The insights provided can support decision-makers in prioritizing interventions and developing strategies to enhance infrastructure resilience and mitigate the risk of cascading failures.

SN Computer ScienceVol. 6(6)
National Agency for New Technologies, Energy and Sustainable Economic Development (IT), University of Verona (IT), Università Campus Bio-Medico (IT), University of the Aegean (GR)
Sustainable cities and communities
Openalex Percentile: Top 25%
Infrastructure Resilience and Vulnerability Analysis
0.95
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