Digital Twins for Information Management in Digitalization, Sustainability, and Resilience: Bridging Heritage and the Modern Built Environment

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 30 October 2025 | Viewed by 122

Special Issue Editors


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Guest Editor
1. Department of Civil Engineering, Aydin Adnan Menderes University, 09100 Aydin, Türkiye
2. Department of Engineering, The University of Cambridge, Cambridge CB3 0FA, UK
Interests: digital twins; artificial intelligence; BIM; digital transformation; information management, knowledge management

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Guest Editor
1. Bartlett School of Sustainable Construction, University College London, 1-19 Torrington Pl, London WC1E 7HB, UK
2. Department of Engineering, The University of Cambridge, Cambridge CB3 0FA, UK
Interests: HBIM; digital twins; point cloud; immersive technologies; data management; digital construction; facility management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Engineering, The University of Cambridge, Cambridge CB3 0FA, UK
Interests: BIM; building and structural design; machine learning; optimization; structural performance assessment; shape optimization

Special Issue Information

Dear Colleagues,

The concept of a digital twin is a promising avenue for the future of built environment information management. It has the potential to bridge the gap between the past and the future, from built heritage to smart structures. This Special Issue explores the transformative potential of digital twins in revolutionizing information management across the built environment. It addresses the dual challenge of preserving built heritage while advancing toward smart and sustainable structures. Topics include the integration of digital technologies like Heritage BIM (HBIM), IoT, AR/VR, and AI to enhance data acquisition, storage, and processing for informed decision-making. In addition, it delves into how digital twins can optimize sustainability, resilience, and resource efficiency in heritage conservation and modern construction. It also examines the application of predictive analytics and scenario modeling for risk management and lifecycle optimization. Through theoretical studies, technological advancements, and real-world applications, this Issue aims to provide a comprehensive perspective on how digital twins are reshaping the built environment for the future.

Dr. Gozde Basak Ozturk
Dr. Weiwei Chen
Dr. Soheila Kookalani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital twins
  • information management
  • artificial intelligence
  • smart structures
  • built heritage
  • sustainability
  • resilience
  • HBIM (heritage BIM)
  • immersive technologies
  • predictive analytics

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Published Papers

This special issue is now open for submission.
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