A Collaborative Route Optimization Model for Regional Multi-Airport System

In this paper, the author set up an index system on the airport collaboration of the multi-airport system (MAS), including the number of external routes, the total cost of the route network, the passenger volume of the MAS, the airport primacy ratio, the route repetition rate, the capacity utilization and the purpose matching rate of airport. Next, the airports within the same MAS are regarded as one airport in the general sense, and the ground transit between the internal airports and the external routes from the single airport are combined to satisfy the demand for passenger transport in the MAS. On this basis, a mathematical model was constructed for collaborative optimization of the route network of the MAS, and used to determine the transit airport and its passenger volume. The indices were transformed into constraints and optimization objectives. Taking the MAS in the Beijing-Tianjin-Hebei (BTH) region for example, the model settings and parameters were further refined. Through model simulation, the collaborative optimization model was further improved, allowing two internal airports to serve as transit airports. The empirical results show that the collaborative optimization successfully improved the overall efficiency of the MAS, clarified the division of labor among the internal airports and balanced the allocation of aviation resources.