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The change of commuting behaviour with planned high-speed railways in Czechia

Author

Listed:
  • Pařil Vilém

    (Department of Economics, Faculty of Economics and Administration, Masaryk University, Lipová, 41a, 602 00, Brno, Czech Republic)

  • Viturka Milan

    (Department of Regional Economics, Faculty of Economics and Administration, Masaryk University, Lipová, 41a, 602 00, Brno, Czech Republic)

  • Rederer Václav

    (Czech Railways Company, Nábřeží Ludvíka Svobody 12, 110 15, Prague, Czech Republic)

Abstract

This paper is focused on high-speed railway planning and its general aim is to assess potential commuting behaviour change on the example of planned high-speed railway in Czechia. We used standard geographical methods based on census data from 2011 in relevant ten regional centres and two important railway junctions that will be connected to high-speed railway according to planned network. The rest of three regional centres not planned to be connected to high-speed railway are disregarded. We assessed the attractiveness of relevant centre for commuter mobility change. The results document the strategic position of Prague as the main commuting centre, which relevant indicators significantly exceed all other labour mobility centres (the second most crucial centre Brno is about half the important one). This fact was confirmed by analyzing gradient labour areas and evaluating commuting relations among relevant centres. The assessment of potential impacts of HSR on labour markets is then carried out using the model of the marginal rate of labour mobility, where it is possible to count on positive impacts except for Prague on two other commuter centres, Brno and Pilsen. In the case of other analyzed centres, we can count on increasing the potential of a trip for work to the centres mentioned above.

Suggested Citation

  • Pařil Vilém & Viturka Milan & Rederer Václav, 2023. "The change of commuting behaviour with planned high-speed railways in Czechia," Review of Economic Perspectives, Sciendo, vol. 23(1), pages 1-13, March.
    • Handle: RePEc:vrs:reoecp:v:23:y:2023:i:1:p:1-13:n:2
    DOI: 10.2478/revecp-2022-0016
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    References listed on IDEAS

    as
    1. Rothengatter, Werner, 1994. "Transport demand development in Germany after the unification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(6), pages 459-467, November.
    2. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    3. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    4. Tapiador, Francisco J. & Burckhart, Kerstin & Martí-Henneberg, Jordi, 2009. "Characterizing European high speed train stations using intermodal time and entropy metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 197-208, February.
    5. Roger Vickerman, 1997. "High-speed rail in Europe: experience and issues for future development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 21-38.
    6. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    7. Román, Concepción & Martín, Juan Carlos & Espino, Raquel & Cherchi, Elisabetta & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & González, Rosa Marina & Amador, Francisco Javier, 2014. "Valuation of travel time savings for intercity travel: The Madrid-Barcelona corridor," Transport Policy, Elsevier, vol. 36(C), pages 105-117.
    8. Ortega, Emilio & López, Elena & Monzón, Andrés, 2012. "Territorial cohesion impacts of high-speed rail at different planning levels," Journal of Transport Geography, Elsevier, vol. 24(C), pages 130-141.
    9. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    10. Beate Völker & Henk Flap, 2001. "Weak Ties As A Liability," Rationality and Society, , vol. 13(4), pages 397-428, November.
    11. Niu, Fangqu & Xin, Zhongling & Sun, Dongqi, 2021. "Urban land use effects of high-speed railway network in China: A spatial spillover perspective," Land Use Policy, Elsevier, vol. 105(C).
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    More about this item

    Keywords

    high-speed railway; commuting; labour mobility;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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