ИСТИНА

. The landslide process is known as one of the most frequent natural catastrophes in Vietnam, causing a significant impact on people, property, and infrastructure. In recent years, landslides have increased in frequency and magnitude in Vietnam. The Northwest region of Vietnam is characterized by many appropriate conditions for the formation and development of slope instability processes, including landslides. As a result, landslide hazard assessment and prediction are crucial elements of Vietnam's disaster response strategy. Numerous approaches have been successfully employed to study the landslide susceptibility of various areas in Northern Vietnam. The primary objective of this study is mapping the landslide susceptibility of Lao Cai city, Lao Cai province, Vietnam using a multivariate logistic regression (LR) model. We selected ten causative factors for preparing the analysis model, including aspect, distance to drainage, distance to road, distance to fault, drainage density, road density,37 elevation, land use, average monthly rainfall, and slope. As a result, a landslide susceptibility zonation (LSZ) map was established, dividing the study area into five susceptibility zones: very low (20.87%), low (16.67%), moderate (16.24%), high (18.42%), and very high (27.80%). The performance of the LR model was evaluated by comparing the LSZ map to the landslide inventory map. The high performance of the LR model in mapping landslide susceptibility for the study area was demonstrated by the success rate and prediction rate of 0.88 and 0.94, respectively. The study outcomes may be utilized to support long-term planning, economic development, and the design of risk reduction and risk management strategies for the study area.