Impact of Land-side Accessibility on the Competitive Position of Airports

This paper will discuss how land-side accessibility is generally considered to be one of the key factors that influence the competitive position of an airport, together with the quality of the air network (destinations served, flight frequencies, airlines, average ticket price, etc.). With overlapping airport catchment areas, and expanding air services, competition between airports gets tougher. In these circumstances it is very important for an airport to know exactly how good or bad its land-side accessibility is, relative to its direct competitors. It is also important to know how its accessibility by road and rail is likely to develop in the future. Existing models can not always be used for such an analysis. In the Netherlands, the Dutch National Model (LMS, Landelijk Model) includes detailed information about surface transport to/from Schiphol, but it does not include traffic flows to the other regional airports, since these are aggregated with other flows in the same region. The model also does not include a taxi mode, which is an important access mode for airports. Specific airport models, such as AEOLUS, formerly known as ACCM, Airport Catchment area and Competition Model, include the accessibility of airports (both Schiphol and regional airports), but they focus on the impacts of capacity constraints at airports. They can be used to simulate the impact of land-side accessibility changes, but only at a high level of aggregation. In order to help airports in establishing their existing and future position, the authors have developed a simple strategic model that quantifies the impact of existing and future land-side accessibility scenarios. This model combines the detailed surface transport information from the LMS with the specific airport information from the AEOLUS model. This new model estimates the strength of the airport accessibility relative to its direct competitors and indicates whether the catchment area is increasing or decreasing. Standard accessibility terms such as travel times and costs are included, but the model also allows for the inclusion of travel time reliability terms. The geographical information of the results allow for detailed graphs and movies to demonstrate changes in competitive positions. The model can also be used to demonstrate the effects of the airport specific taxes, such as security charges. The authors will demonstrate the simulated effects of the Dutch ticket tax which was introduced in July 2008. The authors will compare the results with the AEOLUS forecast and the effects observed in reality.

• Record URL:
  https://aetransport.org/past-etc-papers/conference-papers-pre-2009/conference-papers-2009
• Corporate Authors:

  Association for European Transport (AET)

  1 Vernon Mews, Vernon Street, West Kensington
  London W14 0RL,    
• Authors:
  • Kouwenhoven, Marco
  • Kroes, Eric
  • Bucci, Pietro
• Conference:
  • European Transport Conference, 2009
  • Location: Leiden Leeuwenhorst Conference Centre , Netherlands
  • Date: 2009-10-5 to 2009-10-7
• Publication Date: 2009

Language

• English

Media Info

• Media Type: Web
• Pagination: v.p.
• Monograph Title: European Transport Conference, 2009 Proceedings

Subject/Index Terms

• TRT Terms: Accessibility; Airport access; Airport operations; Competition; Landside operations (Airports); Public transit; Taxi services; Traffic flow; Traffic models; Travel time
• Identifier Terms: Amsterdam Schiphol Airport
• Subject Areas: Aviation; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01344912
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 20 2011 7:24AM