Simulation research on evacuation of public buildings based on BIM technology and fuzzy algorithm.

Large public buildings are characterized by high occupancy and complex functions, which can easily lead to issues such as congestion in evacuation routes and disorderly crowd behavior in the event of a fire. Conducting analyses and simulation assessments of evacuation mechanisms in fire scenarios is of great significance for improving building fire safety standards and emergency management capabilities. At present, there are significant gaps in the existing research on evacuation simulation for public buildings: Most studies rely on fixed parameter assumptions and fail to effectively quantify the influence of subjective factors such as psychological factors, safety awareness, and social roles on evacuation behavior. Moreover, the combination of BIM technology and evacuation simulation mostly focuses on the presentation of spatial geometric information, lacking a deep integration with quantitative methods for quantifying the subjective behavior of personnel, resulting in insufficient authenticity and predictive reliability of evacuation simulations, and making it difficult to precisely support fire protection design and emergency decision-making. In response to this research gap, this study has established an integrated framework that quantifies subjective human-related factors, maps them to key behavioral parameters through fuzzy inference, and couples them with BIM-based fire and evacuation simulations to provide a verifiable linkage between fire scene constraints, human behavior, and evacuation outcomes. This paper employs fuzzy logic theory together with Pyrosim and Pathfinder to investigate the effects of human-related subjective factors and fire scene conditions on fire evacuation safety. A questionnaire survey was conducted to examine how psychological factors, safety awareness, and social roles of pedestrians influence evacuation behavior. Through the reliability and validity test of the valid questionnaire data and the spearman correlation analysis, it is found that there is a significant positive correlation between safety awareness, psychological factors, social roles and the evacuation behavior. Based on fuzzy rules, the domains and membership functions of the linguistic variables representing these factors are defined, enabling the quantification of the influencing factors and the calculation of the initial evacuation speed. Finally, a BIM model was established and applied to the evacuation simulation of a large shopping mall project in Southwest China to verify the feasibility of the fuzzy algorithm and the safety of the evacuation design. This research innovatively combines fuzzy algorithms with BIM technology, making up for the deficiencies of existing studies in the quantification of subjective factors of personnel and the deep integration of BIM technology. It provides a more scientific calculation plan and data for the study of public building evacuation, and offers reference basis for fire protection design, personnel allocation, emergency plan formulation, and rescue operations.