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Human initiated cascading failures in societal infrastructures
Chris Barrett1, Karthik Channakeshava, Fei Huang
1Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, Virginia, United States of America.
Plos One
|November 3, 2012
Summary
Human behavior during crises can trigger cascading infrastructure failures. Evacuation responses overload transport and cellular networks, leading to unexpected system collapses, even with high compliance rates.
Area of Science:
- Socio-technical systems analysis
- Network science
- Crisis response modeling
Background:
- Societal infrastructures like cellular, transportation, and mobile call networks are highly interdependent.
- Behavioral adaptations during crises significantly impact network loads and system performance.
- Existing system dynamics models struggle to represent the intricate co-evolution of these coupled infrastructures.
Purpose of the Study:
- To systematically study human-initiated cascading failures in interdependent infrastructures.
- To model the impact of behavioral adaptations on cellular, transportation, and mobile call networks during a crisis.
- To analyze the co-evolution and interaction challenges within these socio-technical systems.
Main Methods:
- Development of interaction-based models representing individuals and infrastructure in a common geographic system.
- Simulation of a chemical plume crisis and subsequent evacuation scenarios in an urban region.
- Sensitivity analysis of evacuation compliance rates on infrastructure loading and failure.
Main Results:
- Evacuation behaviors, including altered travel and calling patterns, cause flash-congestion in transport and wireless networks.
- Infrastructure failures, particularly base station overload, can result from prolonged road congestion.
- Non-intuitive findings show that lower evacuation compliance (70%) can overload more base stations than higher compliance (90%).
Conclusions:
- Human behavioral adaptations are critical drivers of cascading failures in interdependent infrastructures.
- Interaction-based modeling provides a detailed approach to understanding complex socio-technical system dynamics during crises.
- Crisis management strategies must account for non-linear effects of public response on infrastructure resilience.
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