Abstract: Miluo City of Hunan Province features diverse and complex topography, rich landforms, and frequent human activities, resulting in a relatively high incidence of landslides. In order to prevent the casualties caused by landslides, the authors conducted landslide risk assessment and proposed corresponding risk control measures. Firstly, the latest landslide data for Miluo City were collected, and susceptibility of landslides in Miluo City was assessed using certainty factors and a neural network multi-layer perceptron approach, on the basis of factors such as elevation, slope, and face of slope. Then, the landslide hazard under rainfall conditions was evaluated. And the data of buildings, roads, and the population distribution threatened by landslide were collected to assess the landslides vulnerability in Miluo City. Finally, landslide risk assessments results were obtained through matrix degree division and risk control strategies were discussed. The results indicated that the western and eastern part of Chuanshanping Town, the western and eastern part of Bishi Town, the eastern part of Sanjiang Town and the eastern part of Changle Town were in high risk of landslides. The areas cover approximately 239.56 km² and encompassed 103 landslides, accounting for 72.54% of the total landslides. Effective landslide risk control requires a combination of point control and area control, implementing both people-oriented and technical preventive measures. The research findings could contribute to the scientific and rational implementation of disaster prevention, reduction, and post-disaster rescue efforts, holding significant practical importance in enhancing social safety, stability, and economic development.