Abstract
The main objective of this paper is to develop a model to determine the relative efficiency and quality of airports. This factor seems to have a strong effect on the airlines' choice of hubs. Previous studies of airport quality have used subjective passenger data whereas in this study airport quality is defined from the airlines' viewpoint. Accordingly, we have solicited airlines' evaluations of a number of European and non-European airports by means of a detailed questionnaire. Statistical analysis of the median score has shown that these evaluations vary considerably relative to quality factors and airports. The key methodology used in this study to determine the relative quality level of the airports is Data Envelopment Analysis (DEA), which has been adapted through the use of principle component analysis. Of the set of West-European airports analyzed, Geneva, Milan and Munich received uniformly high, relative efficiency scores. In contrast, Charles de Gaulle, Athens and Manchester consistently appear low in the rankings.
| Original language | English |
|---|---|
| Pages (from-to) | 171-181 |
| Number of pages | 11 |
| Journal | Transport Policy |
| Volume | 8 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2001 |
Bibliographical note
Funding Information:The authors wish to acknowledge financial and data collection support from the Directorate General of Civil Aviation at the Dutch Ministry of Transport. We wish to thank Prof. Jaap de Wit and his assistants for their kind support and encouragement.
Funding Information:
Nicole Adler would also like to thank the Recanati Foundation for partial funding.
Keywords
- Airport quality
- DEA
- Policy analysis
- Principal component analysis