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A systematic mapping of BIM and digital technologies for architectural heritage

Author(s): ORCID


ORCID



Medium: journal article
Language(s): English
Published in: Smart and Sustainable Built Environment, , n. 4, v. 11
Page(s): 1060-1080
DOI: 10.1108/sasbe-11-2020-0171
Abstract:

Purpose

Across the architecture, engineering and construction industry, the application of building information modelling (BIM) as a digital technology for architectural heritage is becoming increasingly relevant. However, scholarly research on the application of BIM for architectural heritage is still in its infancy stage and the research gaps and future directions of this research area are still unclear. This paper therefore aims to fill this gap by using a systematic and robust review using a mixed-method approach to show the gaps of research for BIM and architectural heritage and point to new directions for future works.

Design/methodology/approach

The study includes a quantitative scientometric analysis and mapping and a qualitative study. A total of 354 articles related to BIM and architectural heritage were analysed using a combination of quantitative and qualitative tools. The qualitative study consists of a systematic literature review supported by data collected from stakeholder and training workshops on digital technologies and BIM for heritage.

Findings

Findings from this study reveal the gaps in the field of heritage and BIM research according to retrieved articles from different countries and journals. Furthermore, emerging domains for future research were identified and these included: as-built modelling and 3D reconstruction; conservation, preservation and management; documentation; maintenance and restoration; virtual technology and simulation.

Originality/value

The common research challenges were identified as an integrated outcome of the findings revealed from the scientometric mapping and qualitative review and resulted in key BIM and heritage research priority recommendations relevant to researchers within this field.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/sasbe-11-2020-0171.
  • About this
    data sheet
  • Reference-ID
    10779767
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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