cff-version: 1.2.0
abstract: "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."
authors:
  - family-names: Lopes dos Santos
    given-names: Bruno
    orcid: "https://orcid.org/0000-0001-9429-6401"
  - family-names: Sa
    given-names: C.C.C. (Constantijn)
  - family-names: Clarke
    given-names: J.-P. (John-Paul)
title: "Data underlying the research on Portfolio-based Airline Fleet Planning"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/uuid:90abf0a2-369e-4a52-9a2c-518ab9f66478
license: CC0
date-released: 2019-06-21