Large-Scale AI Models Across the Construction Lifecycle
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 459
Special Issue Editors
Interests: construction informatics; artificial intelligence; building information modeling; automation in construction
Special Issues, Collections and Topics in MDPI journals
Interests: project Integrated management; value management; urban renewal; large-scale AI models
Interests: urban and rural planning; intelligent building and smart city; urban renewal planning and design; space information technology of urban planning
Interests: project management and risk control; urban renewal; AI in construction industry; real estate operation and management
Special Issue Information
Dear Colleagues,
As the construction industry progressively shifts towards greater intelligence, digitalization, and sustainable development, the application of large-scale AI models, represented by large language models (LLMs), has emerged as a pivotal technological force driving this transformation. These models are capable of processing and analyzing vast amounts of complex data, enabling prediction, optimization, and automated decision-making, which is revolutionizing various stages of building design, construction, operation, and maintenance. The potential of large-scale AI models to enhance productivity, optimize resource allocation, reduce environmental impact, and improve safety is increasingly being recognized and applied across the industry.
This Special Issue aims to explore the contributions of large-scale AI models in areas such as generative design, project management, construction robotics, BIM, digital twins, and urban renewal. The key topics of this Special Issue include, but are not limited to, the following:
- Large language model;
- AI-driven urban renewal planning and design;
- Automation and robotics in construction;
- Integration of BIM and digital twins;
- Applications of AI in construction project management;
- Social impact assessment in urban renewal;
- AI-driven sustainable development of aging communities;
- Adoption of digital technologies in the construction industry;
- Industrialized construction.
Dr. Shuai Han
Dr. Guozong Zhang
Guest Editors
Dr. Yingwei Cui
Dr. Suhong Li
Dr. Yan Zhao
Guest Editor Assistants
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
- large AI models
- deep learning
- natural language processing
- BIM
- digital twin
- construction project management
- full lifecycle
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
