Understanding human behavior, such as waiting, returning home, and evacuation, after a great earthquake is very critical in establishing detailed disaster prevention planning. In the present paper, we construct a simulation model to describe human behavior variable from physical damages such as spread of city-fire and street-blockage by collapsed buildings. The proposed model is applied to a highly dense built-up area of Tokyo using the database of the spatiotemporal distribution of railroad users, automobile users, and pedestrians. Using the model, we attempt to demonstrate some new findings for disaster prevention planning by examining evacuation plans and various condition settings in earthquake simulations.
