Dynamic expansion and location of an airport: A multiple objective approach

In this paper we propose a dynamic, multi-objective, mixed integer programming model that aims to determine the optimal airport site under capacity and budgetary restrictions. In contrast with the existing models, the proposed model can also solve a practical size location-allocation problem without serious computational difficulty. As a practical example, the model has been applied to the airport expansion and construction problem facing the Massachusetts Port Authority and Aeronautics Commission.