Multi-objective hub airport siting without capacity constraints

As the global transport network becomes increasingly sophisticated, the issue of airport location has become a subject of growing interest. In particular, for hub airports, their location has a significant impact on the economic development of the city in which they are situated. Additionally, it influences the efficiency and cost of air transport in the region where they are located, and even in the country as a whole. This paper presents the construction of a UMp-HMP model for the multiobjective hub airport siting problem without capacity constraints, with the minimum transport cost solved using a Gurobi solver. The model employs the distance cost of the airport as the streaming cost to ascertain the hub airports that should be selected under disparate cost discount factors. It then solves the model using a particular shortest-path optimisation algorithm and constructs a hub route network for 15 cities in China based on the optimal solutions obtained.