Determination of Tsunami Evacuation Route using Dijkstra’s Algorithm: Case Study of Batukaras, Indonesia
- DOI
- 10.2991/978-94-6463-284-2_20How to use a DOI?
- Keywords
- Evacuation route; Dijkstra’s algorithm; Tsunami
- Abstract
During a tsunami, the choice of evacuation route is vital for safety. Dijkstra’s algorithm is used to plan the shortest route for evacuation. The optimal shortest route is obtained from various nodes to the evacuation zone by identifying the distance, determining the speed and density of pedestrians, and shelter availability. The puspose of this study is to identify the shortest route to the evacuation zone by determining the speed and density of pedestrians, and shelter availability in Batu Karas, Indonesia. The method used is Dijkstra Algorithm, python as programming languange, and data retrieval conducted in Batu Karas. The farthest distance from a node to the evacuation zone is 1850 m. It takes 34 minutes to evacuate, with an Estimated Time Arrival of tsunami (ETA) is 20 minutes. Based on these results, it is necessary to have an additional evacuation zone to minimize the distance to the evacuation zone. This study can be used to determine tsunami evacuation route for tsunami risk area in Indonesia.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Aldo Novaznursyah Costrada AU - Elis Agustiana AU - Nina Siti Aminah AU - Mitra Djamal PY - 2023 DA - 2023/11/09 TI - Determination of Tsunami Evacuation Route using Dijkstra’s Algorithm: Case Study of Batukaras, Indonesia BT - Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022) PB - Atlantis Press SP - 166 EP - 173 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-284-2_20 DO - 10.2991/978-94-6463-284-2_20 ID - Costrada2023 ER -