In order to assess whether the runway can meet safe, reliable and efficient objectives, a comprehensive evaluation indicator system needs to be established for evaluation. Firstly, the runway operation system is established, and the evaluation indicators of runway performance are divided into five aspects: personnel factors, support facility, mission demand, operating environment and management factors and then establish a comprehensive evaluation index system. Secondly, the TOPSIS evaluation model of game theory combination weighting is established, game theory is used to optimize the weights of the weights obtained by AHP and CRITIC, and the ideal solution (TOPSIS) is used to comprehensively evaluate the runway performance. Finally, the model was used to evaluate the runway performance levels of the three airports, and the three evaluation methods were compared. The results show that the results of the runway performance evaluation using the model are in line with the actual operation of the airport. The method is simple and the results are scientific and objective, and it have good versatility.

In this paper, we analyze the domestic scholars about the airport runway capacity evaluation model, and they are mainly the analysis and introduction of some commonly used runway capacity evaluation methods and specific runway capacity evaluation models. These models respectively include the takeoff and landing capacity of aircraft, and give the calculation methods of runway capacity in various cases. By seeking the similarities and differences of these evaluation models, the future research focus and direction are put forward.

With the continuous development of the strategy of the development of the western region and the gradual advancement of the “One Belt, One Road” strategy, Xianyang Airport serves as the gateway for foreign exchanges in Xi’an, and the passenger and freight traffic volume has increased year by year. This article is based on the passenger and cargo traffic that has been available from 2009 to 2015. We will use the trend extrapolation method, the econometric method and the market share method to predict the passenger and cargo transportation volume from 2016 to 2018, comparing with the actual passenger and cargo transportation volume. Then we can obtain the annual error, and find the average error. According to the average error, the weights are determined. Finally, we combine the result with its weight, comparing with accurate result, and get more exact result. Therefore, this method is applied to the forecast of aviation traffic from 2019 to 2023, and then more accurate results are obtained. According to the air passenger and cargo transportation volume in the next five years, combined with the basic economic and population conditions, it will provide reference for the future development and functional positioning of Xianyang Airport.