IDEAS home Printed from https://ideas.repec.org/a/taf/eurpls/v27y2019i3p574-594.html
   My bibliography  Save this article

Are the reasons for companies to locate around central versus peripheral high-speed rail stations different? The cases of Reims central station and Champagne-Ardenne station

Author

Listed:
  • Christophe Beckerich
  • Sylvie Benoit
  • Marie Delaplace

Abstract

High-speed rail (HSR) can serve cities in two main ways: first and foremost, via city-centre stations, but increasingly also via peripheral stations. By analyzing the case of Reims, an intermediate-size city located 150 km to the east of Paris and served by both a central station and a peripheral one, this article aims to identify the reasons that lead firms to locate around each type of station. Two surveys conducted in 2014 and 2015 enable us to show that HSR not only structures urban space but also segments it by function. While office availability is a very important location consideration for both station types, other location factors, including HSR, are type-specific. Moreover, the types of companies around each station are not the same. Business services located around Reims’ peripheral station are linked to the industrial base of the region, whereas firms around the central station are looking for proximity to final clients (either in connected cities or from regional markets) and to benefit from a positive neighbourhood image. As might be expected, HSR seems to produce urbanization economies (access to different transport modes and/or proximity to amenities) but in a different way around central and peripheral stations.

Suggested Citation

  • Christophe Beckerich & Sylvie Benoit & Marie Delaplace, 2019. "Are the reasons for companies to locate around central versus peripheral high-speed rail stations different? The cases of Reims central station and Champagne-Ardenne station," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 574-594, March.
  • Handle: RePEc:taf:eurpls:v:27:y:2019:i:3:p:574-594
    DOI: 10.1080/09654313.2019.1567111
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09654313.2019.1567111
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09654313.2019.1567111?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Biyue Wang & Martin de Jong & Ellen van Bueren & Aksel Ersoy & Yanchun Meng, 2023. "Transit-Oriented Development in China: A Comparative Content Analysis of the Spatial Plans of High-Speed Railway Station Areas," Land, MDPI, vol. 12(9), pages 1-21, September.
    2. Deng, Taotao & Wang, Dandan & Hu, Yukun & Liu, Shuang, 2020. "Did high-speed railway cause urban space expansion? ——Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 80(C).
    3. Champagne, Marie-Pier & Dubé, Jean, 2023. "The impact of transport infrastructure on firms’ location decision: A meta-analysis based on a systematic literature review," Transport Policy, Elsevier, vol. 131(C), pages 139-155.
    4. Yakubu Suleiman & Adeyemi Ajayi & Sule Abass & Ogunbajo Rukaiyyat, 2020. "The Relationship Between Road Infrastructure Budgetary Expenditures and Commercial Property Investment Returns. Case Study of Fadikpe Area Minna, Nigeria," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 8(1), pages 187-196, January.
    5. Stéphanie Souche, 2023. "Which transport modes do people use for travelling to coworking spaces (CWSs)?," Post-Print halshs-04010016, HAL.
    6. Hong, Seock-Jin & Najmi, Hossein, 2022. "Impact of High-speed rail on air travel demand between Dallas and Houston applying Monte Carlo simulation," Journal of Air Transport Management, Elsevier, vol. 102(C).

    More about this item

    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:taf:eurpls:v:27:y:2019:i:3:p:574-594. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CEPS20 .

    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.