Full Program
Summary:
Extreme weather events increasingly threaten criti-cal infrastructure (CI) systems, particularly power and telecom-
munication networks, leading to cascading failures. This paper
proposes a novel resilience assessment framework that explicitly
models spatial interdependencies between electricity and telecom-
munication networks using a graph-based approach. Sector-
specific metrics, including Demand Not Served (DNS), power
line failure rates, and affected population estimates, quantify
the impact of windstorm-induced disruptions. A spatiotempo-
ral hazard scenario generator simulates realistic storm events,
dynamically propagating failures through the coupled networks.
A key innovation is the integration of a telecommunication signal
propagation model—combining Extended Hata, Rapport models,
and a binary search algorithm—to estimate coverage loss within
the resilience framework. The framework is validated in Cyprus
using real-world and synthetic data, identifying vulnerable re-
gions and informing disaster response strategies.
Author(s):
Balaji V. Venkatasubramanain
KIOS Research and Innovation Center of Excellence, University of Cyprus, Cyprus
Cyprus
Christos Laoudias
KIOS Research and Innovation Center of Excellence, University of Cyprus, Cyprus
Cyprus
Mathaios Panteli
KIOS Research and Innovation Center of Excellence, University of Cyprus, Cyprus
Cyprus