The abnormal geology and terrain of Nepal made it vulnerable to natural disasters like landslides and flash floods. Benighat-Rorang Rural Municipality (RM), in the Dhading district of Nepal's Bagmati province, has experienced several minor to massive landslides that have harmed both nature and civilization. This research investigates the enduring landslide conditioning factors in the study area (Benighat-Rorang RM), such as lithology, soil, geology, land cover, geomorphology (primarily slope and aspect), fault line, drainage density, meteorological data, road density, in order to generate a robust LSM for the study area. The LSM will help in identifying landslide-prone zones (high to low), which will, in turn, enable stakeholders to implement appropriate mitigation measures across the landslide-induced rural municipality. The study is based on currently available remotely sensed data adopted, including geospatial, remotely sensed, and meteorological data, and employs an expert-driven Analytical Hierarchical Processes (AHP) approach. Using the field verification approach, the results of this procedure have been validated, which can be observed in an estimated success rate curve. Environmental factors, such as temperature, rainfall, relative humidity, surface pressure, and wind speed, have been examined regarding landslide susceptibility. Thus, an integrated study on landslide susceptibility was applied to the area to identify inhabited areas vulnerable to or at risk of landslides. Furthermore, the placement of public amenities throughout the research zone was considered while conducting the social vulnerability risk analysis. Finally, landslide susceptibility zonation, climatic factors influencing landslide susceptibility, and social vulnerability assessment results of the study area have been combined to generate a risk map identifying landslide-prone municipal facilities and vulnerable communities.