Study on Operational Performance Forecast of 10 Asian Hub Airports

Autor: WANG Zhanwei, ZHAO Mingming, LI Huaxing
Jazyk: čínština
Rok vydání: 2021
Předmět:
Zdroj: Hangkong gongcheng jinzhan, Vol 12, Iss 4, Pp 90-98 (2021)
Druh dokumentu: article
ISSN: 1674-8190
DOI: 10.16615/j.cnki.1674-8190.2021.04.10
Popis: Improving future airport operational performance is the key to airport sustainable development,and its accurate forecast is the basis for improving the airport operational performance.Considering the impact of emergency events,the quantitative forecast alone has the problem of forecast distortion,so a combination method of quantitative and qualitative analysis is used to forecast the operational performance of 10 Asian hub airports during the 14th 5-Year.The forecast results of grey model quantitative analysis method and ARIMA model are compared.The airport operational performance forecast results are analyzed.The results show that the grey model quantitative analysis method is more suitable to forecast airport performance than ARIMA model.Comparing the actual statistic values,the forecast errors of grey model are less than 4%,which has better forecast results.Using the combination method of quantitative and qualitative analysis,the forecast results of airport future operational performance are obtained,which is more in line with the actual situation than the simple quantitative forecast.
Databáze: Directory of Open Access Journals