To enhance the level of safety management in airport clearance zones and ensure safe operations within these areas, an evolutionary game model between airport management authorities and clearance violators was constructed. An in-depth analysis of the strategic choices was provided made by both parties under different scenario conditions and the underlying reasons for these choices was exploreed. Using MATLAB software, a sensitivity analysis of key parameters was conducted, examining the impact of four crucial factors, such as the probability of detecting violations, penalty severity, compliance operation costs, and non-compliance income, on the system’s evolutionary path and outcomes. The results show that increasing the probability of detecting violations and imposing stricter penalties can effectively encourage violators to shift towards compliant strategies. Furthermore, reducing compliance costs and limiting non-compliance income can further decrease the probability of violations occurring.