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Fare revenue forecast in public transport: A comparative case study

Author

Listed:
  • Krembsler, Jonas
  • Spiegelberg, Sandra
  • Hasenfelder, Richard
  • Kämpf, Nicki Lena
  • Winter, Thomas
  • Winter, Nicola
  • Knappe, Robert

Abstract

This paper presents results from a case study of fare revenue prediction in public transportation in Berlin using machine learning and time series analysis. Our work aims to aid in the implementation of automated revenue controlling and data-driven decision support within existing controlling processes.

Suggested Citation

  • Krembsler, Jonas & Spiegelberg, Sandra & Hasenfelder, Richard & Kämpf, Nicki Lena & Winter, Thomas & Winter, Nicola & Knappe, Robert, 2024. "Fare revenue forecast in public transport: A comparative case study," Research in Transportation Economics, Elsevier, vol. 105(C).
    • Handle: RePEc:eee:retrec:v:105:y:2024:i:c:s0739885924000404
    DOI: 10.1016/j.retrec.2024.101445
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