Hagos Kidanemariam Gebregewergs2025-11-122025-09-25https://repository.mu.edu.et/handle/123456789/100010.82589/muir-893Landslides are a critical geohazards in Ethiopia, particularly along mountainous and rift-margin road corridors, where they frequently disrupt transportation, damage infrastructure, and pose serious threats to human life. The study aims to generate landslide susceptibility mapping and slope stability analysis along the Bonga – Felegeselam road corridor. Initially, a total of 120 landslides were inventoried and mapped based on field visits and Google Earth image interpretation, and subsequently divided into two subsets: 70% for model training and 30% for validation. Eight landslide causative factors including slope angle, aspect, elevation, lithology, land use, distance to road, distance to stream and precipitation were selected based on geomorphological relevance and site verification. The relationship between landslide occurrence and causative factors was analyzed using frequency ratio (FR) and weight of evidence (WoE) models. Based on these models, landslide susceptibility maps were generated by integrating the weighted values of all factors and reclassified into five susceptibility zones: very low, low, moderate, high, and very high. The high and very high susceptibility zones accounted for 17.8% and 24.1% of the area in the FR and WoE models, respectively. The accuracy of the models was validated using the relative operating characteristic (ROC) curve and the area under the curve (AUC) values. The frequency ratio (FR) model achieved a prediction rate of 80.6%, while the WoE model yielded 79.1%, both indicating strong predictive capability. Geotechnical verification of eight road slope failures within moderate to very high susceptibility zones was performed using limit equilibrium method (LEM) based stability analyses. Secondary borehole and eight test pit data, supported by laboratory test results, were used to establish subsurface profiles and geotechnical parameters of the slope materials. Stability analyses using Bishop and Spencer methods under both dry and saturated conditions produced factors of safety ranging from 1.15 to 0.78 and 0.96 to 0.54, respectively. These results confirm the consistency of the susceptibility models by indicating strong agreement between mapped zones and stability analysis results. This approach provides a strong framework for landslide hazard management and informed infrastructure planning in Ethiopia and similar mountainous regions.enLandslide inventoryCausative factorsSoil PropertiesFactor of Safety (FoS)and Remedial measuresThesis