Landslides is one kind of domain motions phenomenon that can incur some irreparable life and financial losses in railway industries. To recognize the susceptible landslides areas and also to locate the bulk motions are crucially necessary in planning and development of transportation industries. Khoy railway is no exception of subject; because some parts of national territory of Iran had been passed from this area. So identification of zones of potential landslide can help to railway track maintenance planning. In this study, it is tried to identify the potential landslide areas by GIS and Fuzzy logic. Therefore some consider factors such as slope, slope direction, altitude and distance from the major faults, roads and rivers. So information layers were digitized in GIS environment and Digitized maps were converted to fuzzy standard maps using fuzzy membership functions in GIS software. Then, weight of each factor was determined with the contribution of Analytical Hierarchy Process. Finally, the susceptible areas to landslide in the study area were identified using simple additive weighting (SAW) method.

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