The purpose of this study was to ascertain the effect of weight setting of objectives on displacement and implementation difficulty in slot allocation model. A linear integer programming model including three kinds of evaluation objectives with different weight is designed to compare and analysis displacement and implementation difficulty in slot allocation model. The average difficulty is very sensitive to the average displacement. The difficulty of implementation can be significantly reduced by weight setting with a little increase of displacement. Movements list descent according to priority or not have great impact on displacement and implementation difficulty in slot allocation model. Capacity is a key factor affecting displacement and implementation difficulties. The difficulty index proposed in this work is very useful in identifying which slot allocation scheme is better for decision maker. Our research can promote regulator to upgrade slot allocation policies.