Human behaviours in evacuation crowd dynamics: From modelling to "big data" toward crisis management

Area of Science:

• Complex Systems Science
• Mathematical Modeling
• Crisis Management

Background:

• Understanding human behavior in crowds is crucial for effective crisis management, especially during extreme situations like evacuations.
• Crowds are complex systems with emergent behaviors that require sophisticated modeling techniques.
• Existing mathematical models may not fully capture the nuances of crowd dynamics in safety-critical scenarios.

Approach:

• Analyzes crowd behavior as a complex living system.
• Critically evaluates mathematical models for their suitability in capturing crowd dynamics.
• Develops and applies a model based on mathematical kinetic theory and evolutionary game theory.

Key Points:

• Crowd behavior exhibits complex system characteristics.
• Mathematical kinetic theory and evolutionary game theory offer robust tools for crowd modeling.
• The proposed model can depict critical crowd situations during evacuations.
• The model provides a framework for managing crisis situations to minimize risks.

Conclusions:

• A novel model integrating kinetic theory and game theory enhances understanding of crowd behavior in extreme events.
• This approach facilitates the development of effective strategies for crisis management and risk mitigation in complex venues.
• The research contributes to improving safety protocols for mass evacuations and preventing catastrophic events.