IDEAS home Printed from https://ideas.repec.org/a/igg/jismd0/v16y2025i1p1-17.html
   My bibliography  Save this article

An Efficient Software Design for Large-Scale Railway BIM

Author

Listed:
  • Qiang Gao

    (China Railway Academy Group Co., Ltd., China)

  • Lixian Qiao

    (China Railway Academy Group Co., Ltd., China)

  • Wei Liu

    (China Railway Academy Group Co., Ltd., China)

  • Yalong Xie

    (China Railway Academy Group Co., Ltd., China)

Abstract

Railway transportation, known for its high capacity, speed, and cost-efficiency, is vital for international trade and regional development. However, railway construction faces challenges such as complex geology, high difficulty, and safety risks, demanding efficient solutions. Advances in construction and information technology have driven a shift toward digital, technology-driven models. Building Information Modeling (BIM) has become essential, integrating data from design to construction for streamlined management. Yet, growing railway project complexity exposes BIM software limitations, including poor data processing, inefficient collaboration, and low flexibility. Developing advanced BIM software to handle massive data, enable real-time collaboration, and ensure scalability is crucial. This study proposes a BIM framework based on industry needs and research, aiming to boost efficiency, drive digital transformation, and support sustainable development.

Suggested Citation

  • Qiang Gao & Lixian Qiao & Wei Liu & Yalong Xie, 2025. "An Efficient Software Design for Large-Scale Railway BIM," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 16(1), pages 1-17, January.
    • Handle: RePEc:igg:jismd0:v:16:y:2025:i:1:p:1-17
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.373199
    Download Restriction: no
    ---><---

    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:igg:jismd0:v:16:y:2025:i:1:p:1-17. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.