Data underlying the research on Portfolio-based Airline Fleet Planning



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.
Date made available2019
PublisherTU Delft - 4TU Centre for research data
Date of data production15 May 2016
Geographical coverageUnited States of America

Cite this

Santos, B. F. (. (Creator), Sa, C. (Creator), Clarke, J. (Creator) (2019). Data underlying the research on Portfolio-based Airline Fleet Planning. TU Delft - 4TU Centre for research data. 10.4121/UUID:90ABF0A2-369E-4A52-9A2C-518AB9F66478