7. Conclusions
This paper constructs a bi-level model for optimizing the flight networks of express companies. We use data on the SF express company to conduct this case study to test the model. In the case study, we represent a physical flight network so that link flows and node flows can be analyzed. Through the analysis of the calculation results we can draw the following conclusions: 1) With our network abstraction method, we can analyze the paths of cargos more exactly. 2) Cargos may be transshipped at some airports to reduce the transportation costs. 3) The bi-level model in this paper may be generalized to other fields, such as road transportation. In reality, the numbers of passenger flights are quite different in different time periods of the same day. In the future, we will study the express transportation cases in each time period of one day