Abstract: This paper constructs an urban ecological resilience assessment model based on resistance, adaptability, and recovery, using Lhasa as a case study. It evaluates the spatial distribution of ecological resilience and employs spatial autocorrelation analysis to explore ecological resilience zoning management. Finally, the study applies the geographically weighted regression(GWR) model to analyze the main driving factors influencing urban ecological resilience and provides relevant recommendations. The results show that:(1) The majority of Lhasa's areas have medium-level ecological resilience, accounting for 54.34%, distributed in the eastern, central, and southwestern regions. High-resilience areas occupy the smallest proportion(11.80%), located in the northern, northwestern, and central-southern river basin regions.(2) Low-resilience areas, accounting for 33.86%, are concentrated in Namu Lake Township, Xumai Township, Bangdui Township, and Gandan Chugou Town, indicating weak resistance, adaptability, and recovery capacity in these regions. These areas require localized ecological resilience management to improve ecological risk prevention capabilities.(3) The GWR analysis shows that GDP and rainfall have a positive impact on ecological resilience, while population and urban multifunctionality have a negative impact. The influence of these four factors exhibits a stepwise change from southwest to northeast.