Forecasting Trans-Pacific air traffic by grey model

dc.citation.epage	110	en_US
dc.citation.spage	103	en_US
dc.contributor.author	Hsu, CI	en_US
dc.contributor.author	Wen, YH	en_US
dc.contributor.department	運輸與物流管理系註：原交通所+運管所	zh_TW
dc.contributor.department	Department of Transportation and Logistics Management	en_US
dc.date.accessioned	2014-12-08T15:27:09Z
dc.date.available	2014-12-08T15:27:09Z
dc.date.issued	1999	en_US
dc.description.abstract	The rapid economic growth of Asia-Pacific countries continues to result in faster travel growth in the Trans-Pacific air passenger market. Grey theory is used to develop time series GM(1,1) models for forecasting: total passenger and 10 country-pair passenger traffic flows. The GM(1,1) models are shown to yield better accurate prediction results than ARIMA and multiple regression models. The results indicate that the total number of air passengers for Trans-Pacific market will increase at an average annual growth rate of approximately 11% up to year 2000.	en_US
dc.identifier.isbn	0-7844-0397-X	en_US
dc.identifier.journal	AIRPORT MODELING AND SIMULATION	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/19400
dc.identifier.wosnumber	WOS:000086581500009
dc.language.iso	en_US	en_US
dc.title	Forecasting Trans-Pacific air traffic by grey model	en_US
dc.type	Proceedings Paper	en_US

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