Examining the use of BIM-based digital twins in construction: analysis of key themes to achieve a sustainable built environment

Karoline Figueiredo, Vivian W.Y. Tam, Assed Haddad

Research output: Chapter in Book / Conference PaperChapterpeer-review

Abstract

Pursuing more sustainable construction projects has become a global priority. The construction industry is responsible for the massive use of freshwater resources and fossil fuels and several other environmental impacts, in addition to considerably affecting the gross domestic product (GDP) worldwide. In this vein, it is crucial to find strategies to develop a sustainable built environment based on a triple-bottom-line (TBL) strategy, concurrently considering environmental, social, and economic factors. The application of BIM-based Digital Twins seems to offer a tenable solution for overcoming the challenges related to achieving sustainability in the construction and real estate sectors. This concept is associated with developing a digital counterpart of the facility to assist the decision-making process throughout its life cycle, using real-time data and an actual connection between the 3D digital model and the physical asset. A BIM-based Digital Twin can be advantageous for a single building or an entire city and is, therefore, often related to the development of smart cities. This study's novelty is presenting a structured literature review that defines the most recent developments in BIM-based Digital Twin applications for the real estate and construction sectors regarding sustainability goals. Based on this literature review, the authors present a discussion of how the knowledge acquired so far can be diffused into the built environment.
Original languageEnglish
Title of host publicationProceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate
EditorsJing Li, Weisheng Lu, Yi Peng, Hongping Yuan, Daikun Wang
Place of PublicationSingapore
PublisherSpringer
Pages1462-1474
Number of pages13
ISBN (Electronic)9789819936267
ISBN (Print)9789819936250
DOIs
Publication statusPublished - 2023

Publication series

NameLecture Notes in Operations Research
VolumePart F3795
ISSN (Print)2731-040X
ISSN (Electronic)2731-0418

Keywords

  • Building Information Modelling (BIM)
  • Digital Twin
  • Real Estate
  • Sustainable Construction

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