| Article ID: | iaor2003561 |
| Country: | United Kingdom |
| Volume: | 36A |
| Issue: | 3 |
| Start Page Number: | 225 |
| End Page Number: | 238 |
| Publication Date: | Mar 2002 |
| Journal: | Transportation Research. Part A, Policy and Practice |
| Authors: | Pacheco R.R., Fernandes Elton |
| Keywords: | forecasting: applications, demand, statistics: sampling, optimization, statistics: data envelopment analysis |
The capacity of 35 Brazilian domestic airports was analyzed with a view to determining which of them were efficient in terms of the number of passengers processed. Data Envelopment Analysis (DEA) methodology was employed to construct the efficient frontier for the sample, to reflect which of the airports used airport resources efficiently and which offered surplus in these same facilities, and in what proportion. On the basis of passenger demand forecasts, it was possible to determine, for each airport, the periods when capacity expansions would become necessary to maintain services at standards currently perceived by passengers.