Accuracy Assessment Of GIS-Based Map For Landslide Susceptibility For A Railway Track
- DOI
- 10.2991/978-94-6463-384-9_45How to use a DOI?
- Keywords
- accuracy assessment; landslide susceptibility; GIS map; railway track
- Abstract
Geographic Information System (GIS) based maps of landslide susceptibility can be used to identify the landscape potency for an area or segment of a railway line. The accuracy of landslide susceptibility maps needs validation to ensure the information provided by the GIS map is reliable. This study aims to validate GIS-based maps of landslide susceptibility of the railway line from Station Prupuk to Station Purwokerto. The validation uses historical data and field documentation of landslide events along the railway line. The accuracy of the landslide susceptibility map in the study area with historical data is 93.75%. The result means the model formulated from DVMBG 2004 can map the landslide vulnerability in the railway line area. Field identification of landslide events location shows that the measurements needed to reinforce the critical area have been made to reduce potential landslide risk, including rail piles, bamboo piles, stone retaining walls, gabion, soil bags, and drainage normalization.
- Copyright
- © 2024 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 - Wahyu Tamtomo Adi AU - Adya Aghastya AU - Rusman Prihatanto AU - Nanda Ahda Imron AU - Artanto Rizky Cahyono PY - 2024 DA - 2024/02/20 TI - Accuracy Assessment Of GIS-Based Map For Landslide Susceptibility For A Railway Track BT - Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023) PB - Atlantis Press SP - 509 EP - 521 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-384-9_45 DO - 10.2991/978-94-6463-384-9_45 ID - Adi2024 ER -