Models of air passenger traffic flows: A comparison of their forecasting effectiveness

Airline traffic forecasting in the medium term is important to airlines and regulatory authorities that attempt to plan and schedule capacity.This research examines a number of alternative approaches to forecasting short to medium term (1 to 3 years) air traffic flows.The data examined are flows bet...

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Main Author: Ismail, Suzilah
Format: Monograph
Language:English
English
Published: Universiti Utara Malaysia 2006
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Online Access:http://repo.uum.edu.my/7597/1/Suz.pdf
http://repo.uum.edu.my/7597/4/1.Suzilah%20Ismail.pdf
http://repo.uum.edu.my/7597/
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spelling my.uum.repo.75972014-07-10T01:45:11Z http://repo.uum.edu.my/7597/ Models of air passenger traffic flows: A comparison of their forecasting effectiveness Ismail, Suzilah QA Mathematics Airline traffic forecasting in the medium term is important to airlines and regulatory authorities that attempt to plan and schedule capacity.This research 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, GDP 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 traffic 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. Universiti Utara Malaysia 2006 Monograph NonPeerReviewed application/pdf en http://repo.uum.edu.my/7597/1/Suz.pdf application/pdf en http://repo.uum.edu.my/7597/4/1.Suzilah%20Ismail.pdf Ismail, Suzilah (2006) Models of air passenger traffic flows: A comparison of their forecasting effectiveness. Project Report. Universiti Utara Malaysia. (Unpublished)
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
English
topic QA Mathematics
spellingShingle QA Mathematics
Ismail, Suzilah
Models of air passenger traffic flows: A comparison of their forecasting effectiveness
description Airline traffic forecasting in the medium term is important to airlines and regulatory authorities that attempt to plan and schedule capacity.This research 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, GDP 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 traffic 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.
format Monograph
author Ismail, Suzilah
author_facet Ismail, Suzilah
author_sort Ismail, Suzilah
title Models of air passenger traffic flows: A comparison of their forecasting effectiveness
title_short Models of air passenger traffic flows: A comparison of their forecasting effectiveness
title_full Models of air passenger traffic flows: A comparison of their forecasting effectiveness
title_fullStr Models of air passenger traffic flows: A comparison of their forecasting effectiveness
title_full_unstemmed Models of air passenger traffic flows: A comparison of their forecasting effectiveness
title_sort models of air passenger traffic flows: a comparison of their forecasting effectiveness
publisher Universiti Utara Malaysia
publishDate 2006
url http://repo.uum.edu.my/7597/1/Suz.pdf
http://repo.uum.edu.my/7597/4/1.Suzilah%20Ismail.pdf
http://repo.uum.edu.my/7597/
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score 13.211869