<p>On 5 September 2022, the M_S 6.8 earthquake occurred in Luding County, Sichuan Province, leading to significant secondary disasters, including landslides and collapses, resulting in severe casualties and considerable economic losses. Obtaining precise information on landslide susceptibility and the spatial distribution of landslides in disaster-affected areas is crucial for conducting a thorough disaster assessment. This paper used multi-source remote sensing images to initially construct 2328 landslides in the high-intensity area after the 2022 Luding earthquake. Then 12 influencing indexes were selected to construct the landslide susceptibility assessment system, and the Analytic Hierarchy Process Based on Trapezoidal Fuzzy Numbers (AHP-TFN), entropy weight method (EWM) and game theory (GT) were used to determine the subjective weight, objective weight and combination weight of each evaluation index, respectively. Finally, combining the two methods of combination weighting method with GT and information value (IV) model to draw the landslide susceptibility zoning map, and the Receiver Operating Characteristic (ROC) curve was employed to validate the evaluation model, and the evaluation accuracy was 83.7%, indicating that the evaluation had better accuracy. In addition, spatial statistics were used to analyse the relationship between the earthquake-triggered landslides and the 12 influencing indexes, and the results showed that the landslides were mainly affected by the Xianshuihe fault, and the landslide is densely distributed along the slope and valley near the fault zone, and the landslide is distributed along the river. This research can provide strong data support for landslide prevention and control in seismic areas.</p>