An evaluation method of flight plan robustness based on flight redistribution strategy is proposed in order to improve the robustness of flight plan. Firstly， the method of building flight plan networks is proposed， and the characteristics of non-scale and small world are analyzed. Secondly， the robustness of flight plan and the flight redistribution strategy are defined. The ways of flight redistribution are delay， cancel and transfer. Then based on complex network theory， the robustness indicators are proposed from the aspects of traffic function and network structure. The robustness of China’s flight plan is analyzed by using the national flight plan in the first half of 2019. The relationships between flight plan robustness and attack intervals， number of attacked airports， capacity loss rate and different weight under random and intentional attacks are studied. The results show that within 20 attack airports the robustness changes a little under random attacks， while it decreases sharply under intentional attacks. Especially in rush hours， the robustness decreases faster when capacity loss rate is larger than 10%， and seven key airports making the comprehensive efficiency decline faster are discovered. Different weight settings have little impact on the identification of periods with poor robustness. The results indicates that the method proposed in this paper can dynamically evaluate the flight plan robustness in different time periods， and discover some meaningful laws for flight plan compiling and practical operation.