抄録
When a large-scale disaster strikes, many victims take refuge in evacuation centers due to damage to their homes or disruption of lifelines, but there are many people such as the elderly, pregnant women, and infants who cannot easily evacuate and are forced to evacuate to their own homes. While it is difficult to provide material support to these home evacuees because their whereabouts are difficult to ascertain, they also have pressing needs, and there is a need to establish a home support system.
Based on this background, the objective of this study is to obtain knowledge useful for disaster countermeasures from a comprehensive viewpoint, from the occurrence of a disaster to evacuation and support, by solving the problem of arranging shelter facilities that prioritize both shelter evacuation and home evacuation support.
In this study, we use Python to solve a mathematical optimization problem to plan the location of evacuation facilities. We aim to minimize the maximum travel distance for shelter evacuees and the total travel distance for home evacuees as evaluation functions.
The results showed that the optimal location for shelter evacuation and home evacuation support have different characteristics. This suggests that home evacuation support will be difficult when shelter evacuees are given priority over home evacuees in deciding shelter location and that it is necessary to consider the characteristics of each region in determining the actual location of shelters.
https://ror.org/00ws30h19 
