Berster, Peter and Gelhausen, Marc Christopher and Wilken, Dieter (2009): Business Aviation in Germany: An empirical and model-based analysis. Published in: Proceedings of the 13th Air Transport Research Society (ATRS) World Conference 2009 in Abu Dhabi, United Arab Emirates (2009): pp. 1-19.
Preview |
PDF
MPRA_paper_16003.pdf Download (378kB) | Preview |
Abstract
The primary role of international airports is to serve the general public with scheduled and charter services, typically provided by airlines. Of secondary importance is their task to provide direct air transport access to the regional industry and to firms who operate their own fleets. In Düsseldorf (DUS), a major international airport in Germany with about 230 Thousand air transport movements (ATMs) in 2007, about 15 Thousand ATMs belonged to business aviation segment. Due to the complexity of slot allocation procedures and growing runway capacity problems at many international airports, business aviation has a growing problem at these airports to realise the demand for flights. However, neighbouring regional airports could play a complementary role and take over this traffic segment. Therefore, the objective of the paper is to describe and quantify the distribution of the growing business aviation between airports and show potential solutions and further avenues of how to accommodate business aviation at both major and near-by secondary airports. Analysis is supported by means of a new business aviation airport choice model based on a logit approach. This model differs significantly from other airport choice models for regular and tourism traffic in terms of the decision-relevant parameters: Factors such as accessibility of the airport, efficient passenger handling and the length of the runway of secondary airports play an important role, whereas price-related variables are less important to travellers of the business aviation segment. The model enables to develop promising strategies for secondary airports taking over a growing share of the business aviation segment in the case of a neighbouring international airport which suffers from congestion, thereby enhancing the overall level of service in consequence of airport cooperation.
Item Type: | MPRA Paper |
---|---|
Original Title: | Business Aviation in Germany: An empirical and model-based analysis |
Language: | English |
Keywords: | Business aviation on main and satellite airports; airport capacity problems; business aviation development; business aviation airport choice model; air traffic distribution between main and satellite airports |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics > R41 - Transportation: Demand, Supply, and Congestion ; Travel Time ; Safety and Accidents ; Transportation Noise |
Item ID: | 16003 |
Depositing User: | Marc Christopher Gelhausen |
Date Deposited: | 02 Jul 2009 02:30 |
Last Modified: | 28 Sep 2019 02:48 |
References: | Backhaus, K; Erichson, B.; Plinke, W.; Weiber, R. (2008). Multivariate Analysemethoden: Eine anwendungsorientierte Einführung. Springer, Berlin. Ben-Akiva, M.; Lerman, S. (1985). Discrete Choice Analysis: Theory and Applications to Travel Demand. MIT-Press, Cambridge. Berster, P.; Gelhausen, M. Ch.; Pabst, H.; Reichmuth, J.; Wilken, D. (2008). Aktuelle Situation und Entwicklungsperspektiven für den Flughafen Mönchengladbach. DLR, Köln. DLR (2008). Aktuelle Situation und Entwicklungsperspektiven für den Flughafen Mönchengladbach, Study on behalf of Düsseldorf Airport, Köln, 2008 (unpublished). Domencich, T. A.; McFadden, D. (1975). Urban Travel Demand – A Behavioral Analysis. Elsevier, New York. Econometric Software (2002). NLOGIT Version 3.0 Reference Guide. Econometric Software, Plainview. Airports (2009). Various information brochures of airports. Various cities. Gelhausen, M. Ch. (2009). Ein Logit-Modell zur Flughafenwahl in der Business Aviation. Proceedings of Deutscher Luft- und Raumfahrtkongress 2009, pp. 1 – 6. Aachen, Germany. Hensher, D. A.; Rose, J. M.; Greene, W. H. (2005). Applied Choice Analysis – A Primer. Cambridge University Press, Cambridge. Hoppenstedt (2009). Firmendatenbank Deutschland. Hoppenstedt, Darmstadt. Maier, G.; Weiss, P. (1990). Modelle diskreter Entscheidungen – Theorie und Anwendung in den Sozial- und Wirtschaftswissenschaften. Springer, Wien. Manski, C. F. (1977). The Structure of Random Utility Models. Theory and Decision 8, pp. 229 – 254. Microsoft (2003). Microsoft AutoRoute 2003. McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In: Zarembka, P.: Frontiers in Econometrics, pp. 105 – 142. Academic Press, New York. McFadden, D. (1978). Modelling the Choice of Residental Location. In: Karlqvist, A.; Lundqvist, L.; Snickars, F.; Weibull, J.: Spatial Interaction Theory and Planning Models pp. 75 – 96. Elsevier, Amsterdam. Ortuzar, J. de D.; Willumsen, L. G. (2001). Modelling Transport. Wiley & Sons, London. Statistisches Bundesamt (1997 – 2006). Luftverkehrsstatistik. Statistisches Bundesamt, Wiesbaden. Statistisches Bundesamt (2008). Statistik regional. Statistisches Bundesamt, Wiesbaden Train, K. E. (2003). Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/16003 |