IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v27y2019i2p97-107n8.html
   My bibliography  Save this article

Building Information Modeling for Housing Renovation - Example for Ukraine

Author

Listed:
  • Siniak Nikolai

    (University of Information Science and Technology “St. Paul the Apostle”, Macedonia)

  • Źróbek Sabina

    (University of Warmia and Mazury in Olsztyn, Poland)

  • Nikolaiev Vsevolod

    (National Academy for Public Administration under the President of Ukraine, Ukraine)

  • Shavrov Sergey

    (Belarussian State Technological University, Belarus)

Abstract

Building Information Modelling (BIM) is the latest software technology used widely by many construction businesses - big and small - particularly within the Architecture Engineering Construction (AEC) sector. Besides being a design and documentation tool, building information models (BIM) provide a platform for enhanced knowledge base collaboration, the potential to manage modification, and therefore the capability to provide information support throughout the lifecycle of an apartment building. A big share of the eastern European construction industries remains excluded from BIM technology and the potential advantages it will hand over to their business, particularly for renovation projects. It requies the involvement of all stakeholders to realize higher-level coordination, productivity, visualization and value efficiencies. The advantages of BIM exploitation for renovation projects are considered in the article. Tendencies in the development of BIM technologies throughout the globe and in eastern European countries on example of Ukraine are shown. Examples of the exploitation of local building information systems in realizing renovation processes are given, and proposals for policymakers in terms of applying BIM technologies in housing renovation activities and facility management are formulated.

Suggested Citation

  • Siniak Nikolai & Źróbek Sabina & Nikolaiev Vsevolod & Shavrov Sergey, 2019. "Building Information Modeling for Housing Renovation - Example for Ukraine," Real Estate Management and Valuation, Sciendo, vol. 27(2), pages 97-107, June.
  • Handle: RePEc:vrs:remava:v:27:y:2019:i:2:p:97-107:n:8
    DOI: 10.2478/remav-2019-0018
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2019-0018
    Download Restriction: no

    File URL: https://libkey.io/10.2478/remav-2019-0018?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
    ---><---

    Citations

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


    Cited by:

    1. Enrico Fattinnanzi & Giovanna Acampa & Fabrizio Battisti & Orazio Campo & Fabiana Forte, 2020. "Applying the Depreciated Replacement Cost Method When Assessing the Market Value of Public Property Lacking Comparables and Income Data," Sustainability, MDPI, vol. 12(21), pages 1-22, October.

    More about this item

    Keywords

    BIM; housing renovation; information system; building and facility management; spatial management;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

    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:remava:v:27:y:2019:i:2:p:97-107:n:8. 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: 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.