Impact Assessment of Road Construction on Landslide Susceptibility in Mountainous Region using GIS-Based Statistical Modelling

Landslide susceptibility is crucial for effective hazard management, planning mitigation, and risk reduction strategies. The present study assessed the impact of road construction on landslide susceptibility for the Mandi district. 1723 landslides data for Mandi district was compiled from the various sources with eleven causative factors. The eleven landslide causative factors were selected from numerous hydrological, geological, and topographical factors. The landslide susceptibility analysis was carried out using three bivariate statistical models, namely, Frequency Ratio (FR), Certainty Factor (CF), and Shannon Entropy (SE). Two sets of Landslide Susceptibility Maps were generated to assess the impact of road construction and divided into five landslide susceptibility classes. The SE model had the highest prediction and validation accuracy of (83–86%). The percentage area in high and very high classes of landslide susceptibility increased by 2.67–4.17% due to road construction activities in the study area.