Post-Disaster Resource Redistribution and Cooperation Evolution Based on Two-Layer Network Evolutionary Games
Yu Chen, Genjiu Xu, Sinan Feng, Chaoqian Wang

TL;DR
This paper models post-disaster resource redistribution and cooperation among shelters and victims using a two-layer network game, revealing how incentives and punishments influence cooperative behavior.
Contribution
It introduces a novel two-layer network model combining public goods and evolutionary games to analyze cooperation dynamics in post-disaster scenarios.
Findings
Moderate incentives promote cooperation; excessive incentives cause free-riding.
Effective punishment suppresses defection and enhances cooperation.
Targeted sanctions on highly connected shelters improve overall cooperation.
Abstract
In the aftermath of large-scale disasters, the scarcity of resources and the paralysis of infrastructure raise severe challenges to effective post-disaster recovery. Efficient coordination between shelters and victims plays a crucial role in building community resilience, yet the evolution of two-layer behavioral feedback between these two groups through network coupling remains insufficiently understood. Here, this study develops a two-layer network to capture the cross-layer coupling between shelters and victims. The upper layer uses a post-disaster emergency resource redistribution model within the framework of the public goods game, while the lower layer adopts a cooperative evolutionary game to describe internal victim interactions. Monte Carlo simulations on scale-free networks reveal threshold effects of incentives: moderate public goods enhancement and subsidies promote…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Infrastructure Resilience and Vulnerability Analysis · Complex Network Analysis Techniques
