# Map API-Based Evacuation Route Guidance System for Floods
## 5 Conclusions  
Recently, disasters such as earthquakes, floods, and landslides occurring worldwide have increased human fatalities and property damage. In fact, 43.4% of all disasters between 1998 and 2017 were caused by flooding, which includes the case in Korea, a country that is experiencing rapid changes in terms of climate emergencies and crises. Korea is affected by severe flood damage caused by typhoons in the summer or during the rainy season from July to September. Flooding can be classified into four main categories: urban, coastal, fluvial, and flash. Evacuation areas, such as flooding areas in cities, coasts, and rivers, are wide; and movement is not restricted therein. However, flash floods occur as landslides in narrow valleys, rivers, and steep slopes in forested mountainous areas. These flash floods increase the land surface area, as rain from the monsoon season or typhoons absorbs into the surrounding soil. In this paper, we propose a path-detection system based on the shortest distance for flash flooding. Before designing and implementing the proposed system, we conducted a site survey to determine the testbed selection criteria. The first was an area with many evacuation routes, and the second was the location of the area. Figure 17: Monitoring system. Owing to the location of the river and surrounding park, we predicted that the damage to the area would be considerable during flooding. Therefore, identifying a test center that satisfied these requirements based on field trips to various regions of the country, including Gangwon-do, was challenging. Hence, we selected Yeojubo as the test center. In addition, by searching for a route while walking, the shortest shelter from the user's current location to the destination shelter was identified, and the shortest evacuation route was selected. The maps were printed using a map API, and the real-time location was verified after obtaining the user's consent. The map contained information regarding the available evacuation shelters during a disaster, which was based on a shelter dataset and was created as a marker to confirm the location. A flash flood risk warning was delivered to this system in the implemented flood prediction model. The delivered flood hazard path was specified on a map to indicate the extent of the flood. This system determines the user's current location in the same manner as the danger warning system. The system transmits and receives GPS data, stores them, and accesses a database. The database stores topographic data and shelter datasets and uses them to search for the nearest shelters from the current location. The shortest distance to the evacuation route was identified and output to the system. Simultaneously, a safe route to the shelter was provided by providing information to the user. Notably, the system was designed such that the nearest shelter or evacuation route was outside the flood risk range. For example, when the first shelter in the user's current location is outside the flood range, if the existing route is used, then damage may occur due to flooding, in which case the system performs a search by excluding the first shelter. In addition, when the flood area spreads while it propagates along the provided route and a problem occurs in the movement route, then the existing shelter and evacuation route are canceled; and the user's current location is identified and searched. Accordingly, a system was implemented to prevent secondary accidents by providing shelters and evacuation routes. In future studies, we plan to add more routes to reduce the evacuation route search time. Conceptualization, S.J. ; methodology, S.J. and K.J. ; formal analysis, S.J. and J.K.; writing--original draft, S.J. ; supervision, H.J. All authors have read and agreed to the published version of the manuscript.