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The impact of city public transportation use on the competitiveness between high-speed rail and the car: The example of the Prague – Brno connection

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  • Kowalski Michal

    (Charles University, Faculty of Science, Dept. of Social Geography and Regional Development, Czech Republic)

  • Marada Miroslav

    (Charles University, Faculty of Science, Dept. of Social Geography and Regional Development, Czech Republic)

  • Chmelík Jakub

    (Czech Railways (České dráhy, a.s.), Praha, Czech Republic)

Abstract

The aim of the paper is to determine how fast the HSR connection in conjunction with public transport between Brno and Prague should be in order to be time-competitive with car use. Brno and Prague are the largest agglomerations in Czechia and, according to the Czech government’s plan, the first HSR will be built between them. The competitive speed of high-speed trains is derived from mathematical accessibility models created in GIS. The route planner in Google Maps and control supplementary sources were used as a source of data on the speed of public transport connections and the travel time of cars. The effect of a possible relocation of the main Brno railway station is also considered. The derived optimal competitive speed is slightly higher than the current plans assume.

Suggested Citation

  • Kowalski Michal & Marada Miroslav & Chmelík Jakub, 2023. "The impact of city public transportation use on the competitiveness between high-speed rail and the car: The example of the Prague – Brno connection," Review of Economic Perspectives, Sciendo, vol. 23(1), pages 35-46, March.
  • Handle: RePEc:vrs:reoecp:v:23:y:2023:i:1:p:35-46:n:1
    DOI: 10.2478/revecp-2022-0018
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    References listed on IDEAS

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    1. Junmei Cheng & Zhenhua Chen, 2022. "Socioeconomic impact assessments of high-Speed rail: A meta-Analysis," Transport Reviews, Taylor & Francis Journals, vol. 42(4), pages 467-502, July.
    2. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
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