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All Journal Journal of Railway Transportation and Technology
Izza Anwer
Department of Transportation Engineering and Management, University of Engineering and Technology Lahore
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Landslide Susceptibility Assessment of a Railway Based on GIS Application Wahyu Tamtomo Adi; Adya Aghastya; Rusman Prihatanto; Artanto Rizky Cahyono; Izza Anwer
Journal of Railway Transportation and Technology Vol. 2 No. 2 (2023): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v2i2.27

Abstract

This study uses GIS-based maps to identify the potential for landslide movement on the railroad section between Prupuk Station and Purwokerto Station. The preparation was conducted by overlaying various maps obtained by online resource data, including rainfall, slope, geology, soil type, and land use, by using the DVMBG 2004 landslide prediction model. The distribution of landslide susceptibility levels shows that of the overall railway lines, 1.10% was very low, 17.29% was low, 63.16% was medium, 18.25% was high, and 0.21% was very high. The results of this study can be used as a reference for operators to provide information systems, landslide monitoring, and mitigation systems, especially for railroads in areas with high and very high vulnerability for landslides. Detailed conditions of landslide parameters and assessment of landslide occurrence on the location are needed to improve the accuracy of the models.
Co-Authors Adya aghastya Artanto Rizky Cahyono Rusman Prihatanto Wahyu Tamtomo Adi