A Development of Simulator Considering Behavioral Psychology of Japanese to Improve Evacuation Ratio in Flood

In Japan, the natural disasters causes a lot of damages of residents. For example, the flood caused by heavy rain and house collapse due to earthquake. As you know, no one can evacuate from earthquake because it is not knowable that when the earthquake will occur. The residents, however, often have chances to evacuate from flood caused by heavy rain because there is a little time left before the flood occurs. In order to improve the evacuation ratio, the system to share the evacuation status of neighbors has been proposed. Although a survey showed that the system is so effective to improve the evacuation ratio, the number of neighbors to share the evacuation status has not been clear. The aim of this study is a development of the simulation of the residents in order to find the optimal number of the neighbors to share the evacuation status. In this paper, the simulator based on the behavioral psychology for the evacuation ratio in flood is considered. The main target in the simulation is the action of human, so the game theory is appliable. The residents, which is players in the game theory or agents in the simulator, will make decisions based on the statuses of their neighbors. In the experiments, the actual evacuation ratio can be obtained by a simulation with a premise that the residents can never know the evacuation status of their neighbors. For the future work, the optimal number of neighbors to share evacuation status should be simulated in view of the improvement of evacuation ratio in flood.

@article{Fukuda2020,
  title     = {A Development of Simulator Considering Behavioral Psychology of Japanese to Improve Evacuation Ratio in Flood},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {4},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Tatsuki Fukuda},
  doi       = {10.14569/IJACSA.2020.0110495},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110495}
}