| Issue |
E3S Web Conf.
Volume 652, 2025
2nd International Conference on Sustainable Environment and Disaster Management (2nd SUSTAIN 2025)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 13 | |
| Section | Disaster Risk Reduction, Hazard Detection & Spatial Vulnerability | |
| DOI | https://doi.org/10.1051/e3sconf/202565204001 | |
| Published online | 15 October 2025 | |
Analysis of Flood Vulnerability and Evacuation Sites Based on ArcGIS StoryMap in Wonosegoro Sub-district, Boyolali District
Faculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta 57162, Central Java, Indonesia
* Corresponding author: yp121@ums.ac.id
Wonosegoro Subdistrict, Boyolali District, Central Java, is an area with a high level of vulnerability to flooding due to the overflow of the Serang River. Based on data from the Regional Disaster Management Agency (BPBD) of Boyolali Regency, flooding occurred 3 times in 2020, 2021 and 2022. The data makes this research has objectives. Analyzing potential flood areas, determining the fastest evacuation route to the evacuation site, and presenting a web-based interactive map through the ArcGIS Story Map platform. Flood vulnerability analysis was conducted using the overlay scoring weighting method in the Geographic Information System (GIS) by considering the variables that cause flooding. Determination of evacuation routes is carried out at safe points when flooding occurs. Using Network Analyst, which resulted in 18 evacuation routes from 9 vulnerable villages to the nearest evacuation location. The evacuation points used are public facilities such as village halls, schools and places of worship, with distances ranging from 0.197 km to 3.707 km. The results showed that the highly vulnerable class covered 436.749 ha (4%), the vulnerable class covered 1,158.62 ha (44%), the quite safe class covered 1,511.47 ha (25%), the safe class covered 2,644.669 ha (19%), and the very safe class covered 215.504 ha (7%).
© The Authors, published by EDP Sciences, 2025
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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