Big Data Technologies in Construction 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: closed (28 February 2025) | Viewed by 1633
Special Issue Editors
Interests: construction management; data analytics; construction automation; digital project delivery; human–computer interaction; construction safety; technology adoption
Special Issues, Collections and Topics in MDPI journals
Interests: data analytics; artificial intelligence; construction management; decision making; project performance; contracting; scheduling; estimating; project delivery method; emerging technology; safety and health
Special Issue Information
Dear Colleagues,
Recent advances in digital technologies such as building information modeling (BIM), data sensing, big data analytics, and artificial intelligence (AI) have profoundly transformed construction engineering and management. These emerging technologies have enabled the effective management, accessibility, and use of correct project performance records and real-time field data to support timely data-driven decision-making and promote efficient, safe, and sustainable construction processes. However, the utilization of such advanced technologies may involve many barriers, including trust and privacy concerns, data availability, and legal implications; if ignored, it can adversely affect construction management processes.
To further advance the use of advanced big data technologies in managing various phases of construction projects, we invite prospective authors to submit review, case study, and technical research papers to this Special Issue. Potential topics include, but are not limited to, new technologies for project planning, scheduling, cost estimation, budgeting, quality assurance, safety management, risk assessment, and resource allocation. We are also particularly interested in receiving original articles that enrich our understanding of required individual, organizational, and regulatory changes and intervention designs for boosting technology adoption.
Dr. Tuyen Le
Dr. Chau Le
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
- construction management
- project management
- construction safety and health
- big data analytics
- artificial intelligence
- natural language processing
- internet of things
- data sensing
- data visualization
- technology adoption
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