In order to improve the supervision and management efficiency of civil unmanned aerial vehicles (UAVs) in China, reduce their accident rate, and further ensure the safety of general aviation, this study applies evolutionary

game theory to construct a four-party evolutionary game model for the full-process supervision of UAV market

circulation. The model involves multiple stakeholders, including the Civil Aviation Administration of China

(CAAC) safety supervision department, local governments, UAV enterprises, and UAV operators. The study explores the strategy selection paths, evolutionary trends, and system stability and control scenarios under the influence of different strategies, and proposes reasonable regulatory strategies for civil UAVs in China. The results indicate that significantly improving UAV regulatory efficiency and reducing UAV accident rates require strengthening accountability for UAV enterprises and adopting a hierarchical supervision strategy.

evolutionary game, unmanned aerial vehicle (UAV) supervision, general aviation, hierarchical supervision