Bounded Rational Modeling of Crowd Evacuation in Open Multi-exit Scenarios

As socio-economic growth and living standards improve, holidays experience a significant increase in population density at tourist attractions in major cities, which poses a substantial challenge to public safety. Currently, research on evacuation strategies in open and multi-exit scenarios is limited. This paper integrates the bounded rational path selection mechanism with potential energy field theory to model the path selection and movement of pedestrians with access to exit information. This approach more accurately simulates the decision-making processes of pedestrians in real-world situations and their movement dynamics under boundary conditions. The study demonstrates that the congestion sensitivity parameter β affects both the path length and queuing time during exit selection, while the conservatism level μ influences the frequency with which pedestrians change their chosen paths. This research provides a comprehensive analysis of efficient evacuation scenarios, enhances our understanding of bounded rational pedestrian path selection, and establishes a foundation for effectively managing crowd evacuations in open multi-exit scenarios.