基于熵值Topsis和博弈动力学的空港联盟决策研究

针对空港在面临联盟选择时的决策问题进行了研究,认为众空港在博弈中的收益为不等值,从区域发展、生产要素、需求状况、支撑产业和环境影响五方面建立空港联盟收益的指标体系,将空港网络抽象成小世界网络,结合熵值Topsis和小世界网络博弈动力学建立空港联盟决策算法,并且运用2010年我国25大空港的实证数据进行研究。结论显示空港联盟只能解决空港发展的一时问题,提升自身能力才是重中之重,研究结论具有实际应用意义。

Airport Alliance Decision Making Based on Entropy Topsis and Game Dynamics

Airport alliance is an important way for airports to reform the resource, but airport' positivity is different due to its own ability, so it is a common concern that how an airport will decide when facing alliance problem. The goal of this paper is to offer alliance decision-making suggestions for airports under the precondition that the alliance game benefits of airports are not same, and the game benefit evaluation index system is built from the aspects of regional development, production factors, demand conditions, support industry and environmental effect. Then the airport network is abstracted as a small-world network and the airport alliance decision-making problem is studied using game dynamics on small-world Network combining with entropy topsis model, then the main factors influencing airport alliance are summarized based on the empirical study of the 25 big airports in 2010. The results show that airport alliance is not a long-term policy for airports and the key point for development is enhancing own strength, which has a practical value.