抄録
A model for locating new airports is built aiming to minimize the total expenses of regional air transport. Two factors in the model namely airport choice probability and airlines average rate are analyzed in detail. For the former, a sub-model to simulate the users’ behavior for choosing airports is built, and for the later a sub-model to analyze the market scale of regional air transport is developed based on the model calculating the market scale of single airline. The study integrates the airline average rate setting, airport choice behavior and new airport location closely and considers the benefits of both passengers and the new airports simultaneously. Due to the interaction, an iterative calculation algorithm is designed to solve the model, in which a GAs is used to simulate the relationship between the two factors and the equilibrium solution is obtained. Finally, a numerical test is done to validate the method.
