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About this paper
David Carraminana, Ana M. Bernardos, Juan A. Besada, Jose R. Casar
Researchers from Universidad Politécnica de Madrid developed a hybrid simulation framework that integrates agent-based and network-based modeling to enhance urban resilience planning. The framework, applied to a scenario combining a cyberattack and a pandemic, successfully quantifies cascading impacts across ICT, healthcare, and mobility, demonstrating how increased hospital bed capacity led to a greater reduction in cumulative fatalities compared to improved cybersecurity for the simulated threats.
Key insights
- The multi-layered subagent architecture effectively models complex urban interdependencies, capturing how events in one system (e.g., an ICT cyberattack) propagate and impact other systems (e.g., healthcare capacity or mobility).
- Generating layered metrics (from entity-level to system-level and city-level) provides explainable and actionable insights, crucial for decision-makers to understand both broad impacts and detailed underlying dynamics.
- The integration of simulation federation and modular design significantly reduces the effort required for comprehensive city-scale simulations, making complex modeling more practical and scalable by leveraging existing domain-specific simulators.
Summary by alphaXiv.
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