Segment-Based Landslide Susceptibility Modeling Using Frequency Ratio and LSI in a Tropical Road Corridor
DOI:
https://doi.org/10.64780/jeims.v1i2.8Keywords:
Landslide, Susceptibility, Segment Based, Tropical InfrastructureAbstract
Landslides pose a significant threat to transportation infrastructure in tropical mountainous regions, particularly in countries with complex geological and climatic conditions such as Indonesia. This study develops a spatially segmented landslide susceptibility model along the 64.11 km Bengkunat–Sanggi corridor, a critical segment of the West Sumatra National Road in Lampung Province. The modeling approach integrates the Frequency Ratio (FR) method and Landslide Susceptibility Index (LSI), employing seven geospatial and geotechnical parameters: slope, elevation, lithology, land cover, rainfall intensity, proximity to drainage networks, and landslide occurrence history. A total of 350 road segments were delineated to enhance the resolution of risk mapping and allow localized analysis. Each parameter was statistically analyzed to determine its influence on landslide occurrence, and the resulting FR values were summed to compute LSI scores for individual segments. The final susceptibility map classified road segments into four risk categories: low, moderate, high, and very high. The findings reveal that slope steepness, proximity to drainage, moderate elevation, and historical landslides contribute most significantly to hazard levels. This study is among the first to apply FR–LSI in a segment-based framework tailored for tropical road corridors. The model achieved a high predictive performance, with an Area Under the Curve (AUC) value of 0.947, indicating robust classification accuracy. This research contributes a data-driven methodology for targeted landslide risk mitigation along critical transportation corridors and offers a transferable framework for hazard management in similar geoclimatic settings.
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