Roadside slope failure is a common problem in the Himalayan region as road construction activities disturb natural slopes. Therefore, landslide susceptibility zonation is necessary for roadside slope disaster management and planning development activities. In this study, we consider a 53-km section of a major highway in Nepal where road services are suspended for several days in the monsoon season every year A number of methods have been used for landslide susceptibility zonation. We employed a bivariate statistical approach for this study. Relevant thematic layer maps representing various factors (e.g., slope, aspect, land use, lithology, drainage density, proximity to stream and proximity to road) that are related to landslide activity, have been prepared using Geographic Information System (GIS) techniques. A total of 277 landslides (covering a total of 29.90 km(2)) of various dimensions have been identified in the area. A landslide susceptibility map was prepared by overlaying a landslide inventory map with various parameter maps segmented into various relevant classes. The landslide susceptibility index was segmented into five zones, viz. very low, low, moderate, high and very high susceptibility. Landslide susceptibility zonation maps are useful tools for the efficient planning and management of roadside slope repair and maintenance tasks in the Himalayan region.