Predictive demand modelling for prospective commercial high-speed rail lines in the Czech Republic

Authors

  • Filip Baran University of Pardubice, Faculty of Transport Engineering, Department of Transport Technology and Control, Studentská 95, 532 10 Pardubice, Czech Republic
  • Alžběta Hrudková University of Pardubice, Faculty of Transport Engineering, Department of Transport Technology and Control, Studentská 95, 532 10 Pardubice, Czech Republic
  • Radek Prokop University of Pardubice, Faculty of Transport Engineering, Department of Transport Technology and Control, Studentská 95, 532 10 Pardubice, Czech Republic
  • Tatiana Molkova University of Pardubice, Faculty of Transport Engineering, Department of Transport Technology and Control, Studentská 95, 532 10 Pardubice, Czech Republic

DOI:

https://doi.org/10.14311/APP.2026.58.0001

Keywords:

demand forecasting, dynamic pricing, high-speed trail, revenue management

Abstract

The paper develops a transferable framework to support future high-speed rail operations in the Czech Republic by integrating demand forecasting with revenue management. It combines a structured review of the literature on dynamic pricing and seat allocation in high-speed rail with the identification of data and data sources suitable for predictive demand modeling.

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Published

2026-08-04

Issue

Vol. 58 (2026): Reflection of modern railways in education and research

Section

Articles

License

Copyright (c) 2026 Filip Baran, Alžběta Hrudková, Radek Prokop, Tatiana Molkova

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Baran, F., Hrudková, A., Prokop, R., & Molkova, T. (2026). Predictive demand modelling for prospective commercial high-speed rail lines in the Czech Republic. Acta Polytechnica CTU Proceedings, 58, 1-6. https://doi.org/10.14311/APP.2026.58.0001