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Data underlying the research on Portfolio-based Airline Fleet Planning

posted on 21.06.2019, 00:00 by Bruno F. SantosBruno F. Santos, C.C.C. (Constantijn) Sa, J.-P. (John-Paul) Clarke
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.



TU Delft, Faculty of Aerospace Engineering, Department of Control and Operations


4TU.Centre for Research Data

Time coverage



United States of America


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