IDEAS home Printed from https://ideas.repec.org/a/vrs/reoecp/v23y2023i1p1-13n2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/revecp-2022-0016
    Download Restriction: no
    File URL: https://libkey.io/10.2478/revecp-2022-0016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Castillo-Manzano, José I. & Pozo-Barajas, Rafael & Trapero, Juan R., 2015. "Measuring the substitution effects between High Speed Rail and air transport in Spain," Journal of Transport Geography, Elsevier, vol. 43(C), pages 59-65.
    2. Nannan Yu & Tianhang Cui & Si Lv, 2023. "Does the High-Speed Rail Improve Employment in Peripheral Cities? Evidence From China’s Beijing–Shanghai HSR Line," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Li, Hongchang & Strauss, Jack & Shunxiang, Hu & Lui, Lu, 2018. "Do high-speed railways lead to urban economic growth in China? A panel data study of China’s cities," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 70-89.
    4. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    5. Fang, Jing & Fu, Fanjie & Zhang, Xiaoqian & Yao, Shujie & Ou, Jinghua, 2024. "Impact of high-speed rail on the mismatch of labor and industry allocations: Evidence from Chinese cities in 2000-2019," Journal of Asian Economics, Elsevier, vol. 92(C).
    6. Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    7. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    8. Wang, Jiaoe & Du, Delin & Huang, Jie, 2020. "Inter-city connections in China: High-speed train vs. inter-city coach," Journal of Transport Geography, Elsevier, vol. 82(C).
    9. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    10. Lan, Xiujuan & Hu, Zheneng & Wen, Chuanhao, 2023. "Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    11. Baek, Jisun & Park, WooRam, 2022. "The impact of improved passenger transport system on manufacturing plant productivity," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    12. Daniel Albalate & Germá Bel, 2015. "La experiencia internacional en alta velocidad ferroviaria," Working Papers 2015-02, FEDEA.
    13. Despina Gavresi & Anastasia Litina & George Tsiachtsiras, 2022. "Railways and Roadways to Trust," Discussion Paper Series 2022_08, Department of Economics, University of Macedonia, revised Sep 2022.
    14. Marti-Henneberg, Jordi, 2015. "Attracting travellers to the high-speed train: a methodology for comparing potential demand between stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 145-156.
    15. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun & Dunford, Michael, 2014. "Impacts on accessibility of China’s present and future HSR network," Journal of Transport Geography, Elsevier, vol. 40(C), pages 123-132.
    16. Zhang, Yanyan & Ma, Wenliang & Yang, Hangjun & Wang, Qiang, 2021. "Impact of high-speed rail on urban residents’ consumption in China—from a spatial perspective," Transport Policy, Elsevier, vol. 106(C), pages 1-10.
    17. Chen, Xiaoyan & Liu, Yisheng, 2020. "Visualization analysis of high-speed railway research based on CiteSpace," Transport Policy, Elsevier, vol. 85(C), pages 1-17.
    18. Moyano, Amparo & Martínez, Héctor S. & Coronado, José M., 2018. "From network to services: A comparative accessibility analysis of the Spanish high-speed rail system," Transport Policy, Elsevier, vol. 63(C), pages 51-60.
    19. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    20. Haoran Zhang & Ying Chai & Xuyu Yang & Wenli Zhao, 2022. "High-Speed Rail and Urban Growth Disparity: Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-13, July.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:reoecp:v:23:y:2023:i:1:p:1-13:n:2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.