What does this research mean for the field?

During collective wildfire evacuations, social interactions predominantly shape decisions under ambiguous information, while congestion effects and route-choice interactions drive evacuation utility under clear information and large-scale demand. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate how different information structures alter individual risk perception and govern collective evacuation behavior during wildfire emergencies.

September 15, 2026FireOpen Access

Research on Game-Theoretic Behavior of Collective Emergency Evacuation in Wildfire Under the Drive of Individual Risk Perception

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Authors

YYYueqiao Yang MLMingyuan Li YBYuanhong Bi

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Overview

Evolutionary game-theoretic modeling reveals how information clarity and congestion shape evacuation dynamics during wildfires, highlighting the need for targeted communication and traffic strategies.

Key Points

To evaluate how different information structures alter individual risk perception and govern collective evacuation behavior during wildfire emergencies.
Constructed an evolutionary game-theoretic framework comparing ambiguous information (incorporating risk sensitivity, mobility, and resources into social interaction payoffs) and clear information (incorporating travel time, risk exposure, and route-choice congestion into utility).
Performed numerical simulations and sensitivity analyses across multiple population scales to track the evolutionary dynamics of collective evacuation choices.
Social interactions and peer influence strongly govern evacuation decision-making when information is ambiguous.
Route-choice interactions and physical road congestion dominate evacuation utility when clear information is available during large-scale evacuations.
Sensitivity analyses revealed that differing representations of traffic congestion significantly modify overall evacuation utility across varied population densities.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6aa9134b9013453be30a10af https://doi.org/10.3390/fire9090397

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September 15, 2026FireOpen Access

Research on Game-Theoretic Behavior of Collective Emergency Evacuation in Wildfire Under the Drive of Individual Risk Perception

View Full Paper

Ask AI

Bookmark

Authors

YYYueqiao Yang MLMingyuan Li YBYuanhong Bi

Discussion

Member takes

Overview

Key Points

To evaluate how different information structures alter individual risk perception and govern collective evacuation behavior during wildfire emergencies.
Constructed an evolutionary game-theoretic framework comparing ambiguous information (incorporating risk sensitivity, mobility, and resources into social interaction payoffs) and clear information (incorporating travel time, risk exposure, and route-choice congestion into utility).
Performed numerical simulations and sensitivity analyses across multiple population scales to track the evolutionary dynamics of collective evacuation choices.
Social interactions and peer influence strongly govern evacuation decision-making when information is ambiguous.
Route-choice interactions and physical road congestion dominate evacuation utility when clear information is available during large-scale evacuations.
Sensitivity analyses revealed that differing representations of traffic congestion significantly modify overall evacuation utility across varied population densities.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6aa9134b9013453be30a10af https://doi.org/10.3390/fire9090397

View Full Paper

Ask AI

Bookmark