Airports are a special critical infrastructure in a disaster response from a resilience point of view. They must overcome two types of shocks when they are affected by a disaster. They are not only hit by a disaster, which decreases their performances. Airports also need to act as a humanitarian and logistic hub for the disaster response which leads to an influx of aircraft. This influx requires the airport to increase their normal performance. In this research a mesoscopic model is built to compare different policies that can improve the resilience of the operations of airports during the immediate post disaster response. To compare the effect of the policies on the level of resilience of the system, this study proposes a new resilient measurement approach that incorporates the bounce back and bounce up capacity of a system. This approach divides resilience into three aspects (1) absorption capacity, (2) adaptive capacity and (3) recovery time. This resilience measurement approach can be used when a system has the following two characteristics: (1) dynamic required service levels over time and (2) internal system changes.