Pedestrian evacuation decision-making for underground complexes based on VR experiments
In order to explore the decision behavior rules such as exit selection in the evacuation process,and predict the selection of evacuation exits by evacuees,we used virtual reality(VR)technology to build un-derground space complex scenes and carry out pedestrian evacuation experiments.First,survey results were statistically analyzed using SPSS software,and disordered multi-classification Logistic regression models were built to identify the main influencing factors.Then,we calculate the contribution of various influen-cing factors and established a correlation analysis model.Finally,based on the support vector machine(SVM)algorithm,a pedestrian evacuation decision-making model was established to predict the exit choice of pedestrians in the evacuation.The results show that pedestrians tend to choose the initially orientated exits for evacuation.In addition,when facing multiple exits with similar distances,the distance from the ex-it has little impact on pedestrian exit choice.The prediction accuracy of the evacuation decision-making model based on SVM is 93％.
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