Simulation-Based Analysis of Evacuation Information Sharing Systems Using Geographical Data

In this study, we developed an agent-based model (ABM) to simulate and improve evacuation rates during flood disasters. Utilizing the “Evacuate Now Button”, a previously proposed system for sharing real-time evacuation rates among residents, our experimental findings demonstrate a significant enhancement in evacuation behavior through this system. Simulations were conducted using geographical data from Nobeoka City, Miyazaki Prefecture, and Toyohashi City, Aichi Prefecture. Results showed that the “Evacuate Now Button” increased evacuation rates from a few percent to approximately 78% in Nobeoka City and 90% in Toyohashi City. We also investigated the effect of varying the range for calculating evacuation rates and the accuracy of the evacuation information shared with residents. It was found that larger calculation ranges led to higher final evacuation rates, while smaller ranges resulted in a quicker initial increase in evacuation behavior. These findings provide valuable insights for enhancing evacuation strategies and disaster preparedness in regions prone to floods.

@article{Fukuda2024,
  title     = {Simulation-Based Analysis of Evacuation Information Sharing Systems Using Geographical Data},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {11},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Tatsuki Fukuda},
  doi       = {10.14569/IJACSA.2024.0151109},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151109}
}