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This paper presents a GIS-aided procedure for landslide susceptibility mapping. The base map is prepared by visiting the field area and mapping individual landslide at a scale of 1:50000 topographic maps. A number of parameter maps are prepared by collecting information from various authorized sources and converting them in to GIS maps. The susceptibility assessment is based on multivariate statistical techniques, which is tested on the study area situated in the east and northeastern part of Murree town, north Pakistan. The study area is famous for being one of the most important resorts of Pakistan. The results obtained using a random sample show that 95% of cells have been properly classified. The minor inaccuracies are attributed due to unavailability of accurate maps for deriving the Digital Elevation Model
(DEM) and other factor maps. The result shows that the inherent vulnerability of the study area is because of both natural and man induced activities.