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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
30.09.2022
DOI
https://doi.org/10.7307/ptt.v34i5.4117
ISSUE
2022 (Vol 34), Issue 5
LICENSE
Copyright (c) 2024 Václav Lauda, Vojtěch Novotný
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This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Role of Railway Transport in Green Deal 2050 Challenge – Situation in the Czech Republic

Authors:Václav Lauda, Vojtěch Novotný

Abstract

Motivating people to switch to public transport from using their own car is one of the most important parts on the way to accomplishing the Green Deal 2050 challenge. In the Czech Republic, where the number of passengers was rapidly rising in the pre-pandemic time, individual car transport still offers many more travel benefits than railway lines for most long-distance relations. How to strategically develop the railway infrastructure? Will the planned high-speed railways really be the appropriate solution to this problem in time? Will they satisfy all the different requirements of passengers who are potentially able to switch from car to train?

Keywords:modal split, railway transport, sustainable mobility, gravitation model, service quality

References

  1. [1] EUR-Lex. Green Deal for Europe. 2019. https://eur-lex.europa.eu/legal-content/CS/TXT/?qid=1596443911913&uri=CELEX:52019DC0640#document2 [Accessed 11th Dec. 2019].
  2. [2] EcoTransIT. Ecological Transport Information Tool, Environmental Methodology and Data. 2014. https://eur-lex.europa.eu/legal-content/CS/TXT/?qid=1596443911913&uri=CELEX:52019DC0640#document2 [Accessed 4th Dec. 2014].
  3. [3] Knörr W, Hüttermann R. Environmental Methodology and Data. Heidelberg, Germany: Institut für Energie- und Umweltforschung; 2016. http://ecopassenger.hafas.de/hafas-res/download/Ecopassenger_Methodology_Data.pdf [Accessed 17th Nov. 2016].
  4. [4] Hensher DA, et al. Understanding Mobility as a Service. 2020.
  5. [5] Gärling T, Axhausen KW. Introduction: Habitual travel choice. Transportation. 2003;30(1): 1-11. doi: 10.1023/A:1021230223001.
  6. [6] Graham-Rowe E, Skippon S, Gardner B, Abraham Ch. Can we reduce car use and, if so, how? A review of available evidence. Transportation Research Part A. 2011;45(5): 401-418. doi: 10.1016/j.tra.2011.02.001.
  7. [7] Bahn 2000. Rail 2000 – A public transport network for the third millennium. https://web.archive.org/web/20041205012701/http://www.bahn2000.ch/ids/default.asp?TopicID=423.
  8. [8] Sydos. Ročenky dopravy. 2020. https://www.sydos.cz/cs/rocenky.htm [Accessed 30th June 2022].
  9. [9] Eurostat. Modal split of passenger transport. https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=tran_hv_psmod&lang=en [Accessed 7th July 2021].
  10. [10] Czech statistical office. Population of Municipalities - 1 January 2021. https://www.czso.cz/csu/czso/population-of-municipalities-1-january-2021 [Accessed 30th June 2022].
  11. [11] Ministry of Transport of Czech Republic. Program rozvoje rychlých železničních spojení v ČR. https://www.mdcr.cz/getattachment/Media/Media-a-tiskove-zpravy/Ministr-Tok-Vysokorychlostni-trate-potrebuji-novy/MD_Program-rozvoje-rychlych-spojeni-v-CR.pdf.aspx.
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