Description
Dataset used for the case study in the MSc thesis "Robust fleet planning under stochastic demand" and in the OMEGA journal article "Portfolio-based airline fleet planning under stochastic demand".
The dataset contains:
- historical passenger data extracted from the TranStats database of the Bureau of Transportation Statistics (BTS/US DOT). The underlying dataset that was used is the T-100 Domestic Market (U.S. Carriers) data table that contains monthly scheduled US domestic passenger data based on a 10 percent ticket sale information dataset, aggregated for all airlines for the period 1990-2014.
- estimated parameters, per market, for the the mean reverting Ornstein-Uhlenbeck process.
- model parameters used in the optimisation model, including aircraft features.
- computed aggregated transition probabilities used in the discrete-time Markov Chain in the scenario generation model.
- BTS/US DOT fare data from 2014.
The dataset contains:
- historical passenger data extracted from the TranStats database of the Bureau of Transportation Statistics (BTS/US DOT). The underlying dataset that was used is the T-100 Domestic Market (U.S. Carriers) data table that contains monthly scheduled US domestic passenger data based on a 10 percent ticket sale information dataset, aggregated for all airlines for the period 1990-2014.
- estimated parameters, per market, for the the mean reverting Ornstein-Uhlenbeck process.
- model parameters used in the optimisation model, including aircraft features.
- computed aggregated transition probabilities used in the discrete-time Markov Chain in the scenario generation model.
- BTS/US DOT fare data from 2014.
| Date made available | 21 Jun 2019 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
| Date of data production | 15 May 2016 |
| Geographical coverage | United States of America |