Crowd_Evacuation_Wargaming_dataset

This dataset constitutes the outcomes of simulations conducted in accordance with the model outlined in the paper titled "Wargame Thinking Reshaping Evacuation Dynamics: A Crowd Evacuation Model with Real-Time Emotional Adaptation." It encompasses four sub-datasets: Group_1_Experiment_Evacuation_Efficiency, Group_2_Experiment_Stampede_Characteristics_Analysis, Group_3_Experiment_Thermal_Impact_Assessment, and Group_4_Experiment_Emotion_Coefficient_Influence. This dataset can be employed to explore evacuation efficiency, investigate stampede characteristics during evacuation procedures, analyze the influence of environmental temperature on the evacuation process, and examine the role of emotions in evacuation scenarios. Data analysis reveals the occurrence of arching phenomena during evacuation, with individuals closer to fallen pedestrians being more prone to panic. Additionally, environmental temperature reduction was found to correlate with a notable increase in fall incidents, while the emotional decay rate demonstrated significant negative correlations with evacuation duration. These findings provide practical insights for refining crowd management strategies and emotional intervention protocols during evacuation procedures.