Data underlying the research on Portfolio-based Airline Fleet Planning

Datacite citation style:
Lopes dos Santos, Bruno; Sa, C.C.C. (Constantijn); Clarke, J.-P. (John-Paul) (2019): Data underlying the research on Portfolio-based Airline Fleet Planning. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:90abf0a2-369e-4a52-9a2c-518ab9f66478
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Dataset
Delft University of Technology logo
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geolocation
United States of America
time coverage
1990/2014
licence
cc-0.png logo CC0
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.
history
  • 2019-06-21 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/zip, text/plain
organizations
TU Delft, Faculty of Aerospace Engineering, Department of Control and Operations

DATA

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