IDEAS home Printed from https://ideas.repec.org/a/sae/jouinf/v14y2022i2p91-126.html

Does Physio-environmental Determinism Influence the Infrastructural Development of Railway Stations?

Author

Listed:
  • Stabak Roy
  • Saptarshi Mitra

Abstract

The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers’ mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations.

Suggested Citation

  • Stabak Roy & Saptarshi Mitra, 2022. "Does Physio-environmental Determinism Influence the Infrastructural Development of Railway Stations?," Journal of Infrastructure Development, India Development Foundation, vol. 14(2), pages 91-126, December.
    • Handle: RePEc:sae:jouinf:v:14:y:2022:i:2:p:91-126
    DOI: 10.1177/09749306221140720
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09749306221140720
    Download Restriction: no
    File URL: https://libkey.io/10.1177/09749306221140720?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. Funda Baş Bütüner & Selin Çavdar Sert & Ela Alanyalı Aral, 2020. "Decoding infrastructural terrain: the landscape fabric along the Sincan-Kayaş commuter line in Ankara," Landscape Research, Taylor & Francis Journals, vol. 45(6), pages 724-741, August.
    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.

      More about this item

      Keywords

      ;
      ;
      ;
      ;

      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:sae:jouinf:v:14:y:2022:i:2:p:91-126. 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: SAGE Publications (email available below). General contact details of provider: http://www.idfresearch.org .

      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.