Digital Twin and AI in Construction and Urban Sustainability
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 12
Special Issue Editors
Interests: costs in construction; construction investment process; fuzzy sets in civil engineering
Special Issues, Collections and Topics in MDPI journals
Interests: construction; risk; MCDM; engineering; management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of Digital Twin (DT) technology and Artificial Intelligence (AI) is transforming the future of construction and urban sustainability. This Special Issue invites cutting-edge research and practical applications that demonstrate how these technologies can enhance the planning, design, construction, and operation of sustainable buildings, infrastructure, and cities.
Key topics of interest include the following:
- Digital Twin frameworks for construction and urban environments;
- AI-driven modeling, prediction, and optimization for sustainable design;
- Smart construction management, monitoring, and performance assessment;
- Integration of IoT, big data, and real-time analytics into DT systems;
- Applications in energy efficiency, carbon reduction, and resource management;
- Digital Twin and AI use in resilient, adaptive, and smart cities;
- Simulation-based approaches for lifecycle assessment and decision making;
- Human-centric and participatory design supported by DT and AI;
- Decision support tools and MCDM techniques for optimized project planning.
We particularly encourage interdisciplinary contributions that connect engineering, computer science, architecture, and urban planning to address current sustainability challenges.
The goal of this Special Issue is to advance knowledge and practice in leveraging Digital Twin and AI to create more efficient, sustainable, and livable built environments. Original research articles, reviews, and case studies are all welcome.
Prof. Dr. Edyta Plebankiewicz
Dr. Jolanta Tamošaitienė
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. Applied Sciences 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 2400 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 twin (DT)
- AI-based management decision-making
- construction management
- lifecycle assessment (LCA)
- circular economy and project management
- building information modeling (BIM)
- sustainable buildings and cities
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