Cite as:
Pitfield D E, 1993, "Predicting air-transport demand" Environment and Planning A 25(4) 459 – 466
Download citation data in RIS format
Predicting air-transport demand
D E Pitfield
Received 11 November 1991; in revised form 27 July 1992
Abstract. In this paper, the efficiency of autoregressive integrated moving average (ARIMA) and regression models in simulating air-transport passengers by route are compared and constrasted. It is concluded that ARIMA models are far superior not only in their simulation capabilities but also in their applicability to such data. In the context of the UK Civil Aviation Authority's approach to forecasting, it is suggested that ARIMA models, including those with intervention terms, bear closer examination.
Restricted material:
Full-text PDF size: 886 Kb
Your computer (IP address: 23.20.196.179) has not been recognised as being on a network authorised to view the full text or references of this article. This content is part of our deep back archive. If you are a member of a university library that has a subscription to the journal, please contact your serials librarian (subscriptions information).