UUM Repository | Universiti Utara Malaysian Institutional Repository
FAQs | Feedback | Search Tips | Sitemap

Comparing forecasting effectiveness through air travel data


Ismail, Suzilah and Tuan Muda, Tuan Zalizam (2006) Comparing forecasting effectiveness through air travel data. In: Proceedings of Knowledge Management International Conference & Exhibition (KMICE) , 6 - 8 June 2006 Legend Hotel Kuala Lumpur. Faculty of Information Technology, Universiti Utara Malaysia, Sintok, pp. 594-602. ISBN 9833282903

[img]
Preview
PDF
Download (397kB) | Preview

Abstract

Airline traffic forecasting in the medium term is important to airlines and regulatory authorities that attempt to plan and schedule capacity. This study examines a number of alternative approaches to forecasting short to medium term (1 to 3 years) air traffic flows. The data examined are flows between the UK and six other countries over the period of 1961- 2002, which has seen substantial changes in both transport technology and economic development. The economic drivers, under consideration, are price, income and bilateral trade. The forecasting models employed include autoregressive models, autoregressive distributed lag models specified using various statistical and economic criteria and a newly developed automatic method for model specification(PcGets), as well as time varying parameter models.Various approaches to including interactions between the contemporaneous air trriffic flows are examined including pooled autoregressive distributed lag models and the inclusion of a 'world' variable that measures overall trade growth in the world economy. Based on the analysis of forecasting error measures, it is concluded that time varying parameter models that include the 'world' variable with an average error of around 2.5% outperform alternative forecasting models. This is perhaps explained by the dramatic structural changes seen in the air traffic market.

Item Type: Book Section
Uncontrolled Keywords: Airline traffic; Comparative forecasting accuracy; Econometric model building; Time varying parameter; Pooled cross-section time series
Subjects: Q Science > QA Mathematics
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 21 Feb 2011 08:01
Last Modified: 21 Feb 2011 08:01
URI: http://repo.uum.edu.my/id/eprint/2389

Actions (login required)

View Item View Item