Data underlying the research on Portfolio-based Airline Fleet Planning
datasetposted on 21.06.2019 by Bruno F. Santos, C.C.C. (Constantijn) Sa, J.-P. (John-Paul) Clarke
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.