| Scientifically planning and deploymenting new airports is an important way to expand national air service coverage and improve air travel convenience. With the high-speed development of China’s civil aviation transportation industry, the existing airport structures have formed a nationwide air transport network skeleton, some region has formed multi-airport system. Under the trend airport site selection is obviously different to site selection in no airport service region. Not only to consider construction cost of new airport itself and other elements, but also pay more attention to the impact on other airports around the new airport and regional aviation service level.First of all, based on a review to the airport site selection and its related research, the new airport site selection problem considers airport competition, regional air transportation resources integration and air transportation service level elements. Secondly, based on traffic network analysis and geographic location accessibility theory, we consider airspace resources, land resources and the airport itself resources configuration information in multi-airport region to measure air transportation service level, based on GINI coefficient to evaluate airport service level difference between airports, so as to measure airport competition element. Thirdly, we ues new airport location and scale of routes as the decision variables, and use the optimal regional aviation transportation service level, the new airport construction total cost at least minimum and minimum the airport service difference between airport as the goal, to build the new airport location optimization model in multi-airport region. Because the model is complex, we use heuristic genetic algorithm based on the pareto optimization to design algorithm. Finally, the thesis use YNT and WEH airports and Yantai-Weihai city as an example to carry on the case study.Results show that aviation service level evaluation method considering land-airspace resource allocation is scientific and reasonable, new airport site selection in multi-airport region is robust and effective. The proposed model can provide theoretical guidance and methods for the location of new airport and airport reconstruction. |