PERFORMANCE EVALUATION OF INTERNATIONAL AIRPORTS IN THE REGION OF EAST ASIA

The performance evaluation of airport operation is an important issue for the government. In recent years, there are some research works published for the subject. However, the dimensions considered and the research methods used are not so well developed. We hope to develop a methodology for performance evaluation in airport operations by considering all the relevant criteria. In this research, the hierarchical structure of evaluating airport performance evaluation problem will be constructed based on four aspects: supply, airline demand, passenger demand and management side. In selecting the criteria, the gray statistics method has proven effective. In giving the weights of criteria, the FAHP (Fuzzy Analytic Hierarchy Process) will get better results than any other traditional methods. Finally, in the ranking of airport performance, we decide to adopt the TOPSIS and Fuzzy Synthetic Decision approach for the ranking of airport performance. An empirical study is conducted to demonstrate the effectiveness of the methods proposed. In this study, we select ten major international airports in the East Asia region to rank their performance. They are: Narita International Airport at Tokyo; Kansai International Airport at Osaka; Incheon International Airport at Seoul; Beijing Capital International Airport at Beijing; Hongqiao International Airport at Shanghai; Changi Airport at Singapore; Chek Lap Kok International Airport at Hong Kong; CKS International Airport at Taipei; Bangkok International Airport and Manila International Airport. The outcome of this study will help us better understand the relative strength and weakness of