Flight segments and waypoints are crucial for the normal operation of a route network. A network’s resistance to disruptions can be enhanced by correctly identifying key flight segments and waypoints and analyzing the correlation between various indicators and the importance of these segments or waypoints. To address the weak resistance of the route network to unexpected situations, both static and dynamic indicators are considered in this study. Using the entropy weight method, the weights of these indicators are determined based on their intrinsic fluctuations. Then, the technique for order preference by similarity to ideal solution is applied to calculate the optimal and worst solutions for the edges, so as to obtain comprehensive scores for each flight segment and waypoint. Further, analysis is conducted on the correlation among indicators, as well as the correlation between indicators and the comprehensive scores of flight segments or waypoints. The results show that while the indicators are independent of each other, their correlation with the scores of the flight segments or waypoints is high. This conclusion provides a basis for improving the route network structure.