Development and assessment of a terminal evacuation information transmission model integrated with partner behavior
To investigate the impact of the quantity of available guidance facilities and partner behavior on evacuation efficiency during a terminal fire scenario,a combined model(IC model)of the information transfer model and partner behavior model was developed using AnyLogic simulation software.Additionally,regulations governing information transfer between individuals and the environment,as well as between individuals and the decision-making process when conveying information,were established.By crafting four experimental schemes and employing a comparative analysis approach,the study examined the impacts of the loss rate of guidance facilities,the ratio of individuals with or without companions,and the crowd density on evacuation efficiency.The approach entailed creating a set of controlled experiments within the AnyLogic simulation environment,with each experiment involving variations in one or more independent variables.The experimental results demonstrated that the IC model was developed in accordance with pertinent national fire standards and norms.Furthermore,the simulation results were validated through multiple random experiments,establishing the model's reliability.When the quantity of available guide facilities was fixed,the evacuation efficiency of individuals exhibiting group behavior was found to be lower than that of those without group behavior.Specifically,the evacuation efficiency decreased by 58.4%when compared with scenarios involving partner behavior and no partner behavior.The longest evacuation time,at 1 092.9 s,occurred when the loss rate of guiding facilities was 90%under companionate behavior.Additionally,with a fixed quantity of available guidance facilities and a pedestrian proportion of 20%,the highest evacuation efficiency was observed when the crowd density stood at 0.2 people/m2.In summary,the IC model effectively illustrates the information transmission phenomenon and its influence on the evacuation process during terminal fire scenarios,demonstrating reliability.This model serves as a valuable source of data reference and offers support to airports in managing such incidents.