A statistical study of the weather impact on punctuality at Frankfurt Airport

✍ Scribed by D. Markovic; T. Hauf; P. Röhner; U. Spehr

• Publisher: John Wiley and Sons
• Year: 2008
• Tongue: English
• Weight: 318 KB
• Volume: 15
• Category: Article
• ISSN: 1350-4827
• DOI: 10.1002/met.74

✦ Synopsis

Abstract

A hybrid regression/time series modelling was used to relate the total daily punctuality (TOTP) at Frankfurt Airport, Germany, to weather, the traffic flow and the airport system state. The selected modelling approach is applied to the annual, the multi‐annual and seasonal data of the years 2001–2006. Reduction of the initial variables system dimension is achieved through the application of the principal component analysis (PCA) method. The portion of the variability that can be explained by the model after correction of autocorrelations in the residuals using autoregressive (AR) models, is between 60 and 69%. A slight year‐to‐year variability in the number of statistically significant model parameters is detected. Upon identification of the terminal‐specific delay impact factors, the possibility of the 24 h punctuality forecast for the interval of 1 year was discussed. Copyright © 2008 Royal Meteorological Society