| Issue |
MATEC Web Conf.
Volume 331, 2020
International Conference on Urban Disaster Resilience (ICUDR 2019)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 10 | |
| Section | Disaster Management | |
| DOI | https://doi.org/10.1051/matecconf/202033101008 | |
| Published online | 09 December 2020 | |
Tsunami Evacuation Routes Optimization using Genetic Algorithms: A Case Study in Palu
Department of Information Technology, Tadulako University, Indonesia
* Corresponding author: iyus.jr@gmail.com
Palu area and its surroundings, besides being very prone to earthquakes, are also prone to tsunamis. A devastating earthquake occurred On September 28, 2018, followed by a destructive and deadly tsunami that struck Palu Bay. This makes the need for proper planning in overcoming the tsunami disaster. One of them is by showing the evacuation route for people in tsunami-prone areas. This study aims to show the best route to the safe point of the tsunami using Genetic Algorithm. The results of the studies show that the best route for tsunami evacuations can be provided best depend on the available of the safe points. Some clusters, namely 9, 10, and 12 have few safe points, limiting people to access a safe location from the tsunami.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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