Artificial Intelligence (AI) for Construction Risk Management

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

Deadline for manuscript submissions: 10 June 2026 | Viewed by 22

Special Issue Editors


E-Mail Website
Guest Editor
School of Property, Construction and Project Management, RMIT University, Melbourne 2476, Australia
Interests: generative design; construction visualisation; building information modelling; AI vision; 4D virtual reality

E-Mail Website
Guest Editor
School of Property, Construction and Project Management, RMIT University, Melbourne 2476, Australia
Interests: building information modelling; virtual design and construction; digital manufacturing and construction; digital twin; automation in construction
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Property, Construction and Project Management, RMIT University, Melbourne 2476, Australia
Interests: building information modelling (BIM); digital fabrication; smart buildings; construction innovation and lean construction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue examines the integration of Artificial Intelligence (AI) during the construction phase, emphasising how intelligent technologies can enhance coordination, automation, and risk management throughout project delivery, particularly in digital and BIM-enabled construction environments. The issue particularly focuses on how AI-driven tools support proactive identification and management of cost, time, safety, and quality risks in complex construction environments. The Special Issue includes, but is not limited to, the following topics addressing technical advancements, implementation frameworks, and the socio-technical implications of AI-enabled construction risk management:

Clash Detection and Coordination; Construction Sequencing and 4D Simulation; 5D BIM and Predictive Cost Control; Progress Tracking and Site Monitoring; Quality and Defect Detection; Safety Management and Risk Prediction; Construction Logistics and Resource Optimisation; Digital Manufacturing and Offsite Construction; Robotics and Automated Assembly; AI in Contract Administration; Data Analytics for Productivity Measurement; Generative AI for Construction Planning; Integration with IoT and Sensor Data; AI for Sustainability and Waste Reduction; Digital Twin for Construction Control and Feedback; Risk Assessment and AI Reliability; Ethical and Legal Issues in AI-Enabled Construction; Delay and Cost Overruns; Time and Scheduling Management.

Dr. Guillermo Aranda-Mena
Dr. Behzad Abbasnejad
Dr. Alireza Ahankoob
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

  • AI uses in Construction Planning and Design
  • Gen AI for Construction Visualisation
  • Gen AI for clash detection
  • Gen AI for supply chain management
  • Gen AI in project scheduling including Gant Charts and LOB
  • risk associated with Gen AI
  • legal framework in construction Gen AI practice
  • Gen AI and Virtual Reality

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Published Papers

This special issue is now open for submission.
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