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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月19日

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

摘要

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.