Analysis of the Effect of the Timing of Starting Evacuation GAbstrace in an Underground Shopping Mall on Crowd Evacuation During a Tsunami Disaster -Using multi-agent simulation-

Underground malls, which have become increasingly large and complex in recent years, are important walking spaces for an unspecified number of users. To safely evacuate many users in the event of a disaster in an underground mall, it is effective to predict evacuation behavior in advance and improve evacuation problems. Therefore, a multi-agent system is an effective method. In this study, we develop a multi-agent simulation model that considers the behavioral characteristics of individual visitors and visitor Interaction in the complex space of an underground shopping mall. In this simulation, the evacuation of visitors is reproduced, and evacuation guidance is performed. The method of evacuation guidance is to guide the evacuees at the intersection of the underground shopping mall to the nearest exit where the number of people staying in front of the exit is small. We believe that by doing so, we can reduce the evacuation completion time. Therefore, the aim of this study is to clarify the effect of changing the starting timing of evacuation guidance on crowd evacuation. Specifically, we will conduct evacuation simulations by guiding visitors in the target area at different timings and analyses the extent to which different timings affect evacuation completion times and congestion at evacuation exits. By carrying out this research, it will be possible to provide information that will contribute to optimizing evacuation guidance in the event of a disaster.