Statistical Approaches in Construction Management: Innovations and Applications
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 6096
Special Issue Editors
Interests: construction safety; railway engineering management; risk management
Special Issues, Collections and Topics in MDPI journals
Interests: community resilience; fire following earthquake; comprehensive assessment; MCDA; construction project resilience; resilient infrastructure; critical employee; employee behaviors; social network analysis; hopsca project; major projects; social stability risk; risk factors; risk coupling evaluation
Special Issue Information
Dear Colleagues,
In recent years, the field of construction management has witnessed a significant evolution, largely due to the integration of statistical methods into various aspects of project planning, execution, and evaluation. The complexity and unpredictability inherent in construction projects necessitate the use of sophisticated statistical tools for risk assessment, decision making, and performance evaluation.
The traditional methods of construction management are being increasingly supplemented and, in some cases, replaced by statistical models that offer more accuracy, reliability, and efficiency. This paradigm shift has led to improved project outcomes, cost-effectiveness, and enhanced risk management strategies.
This Special Issue of Buildings seeks to explore the diverse applications of statistical methods in construction management. We are looking for original, high-quality papers that discuss case studies, theoretical explorations, and practical applications in the field. Submissions should focus on, but are not limited to, the following areas:
- The application of statistical techniques in construction project forecasting and planning.
- Risk assessment and management in construction projects using statistical models.
- Use of statistical methods in cost estimation and control.
- Quality assurance and performance evaluation in construction management.
- Big data analytics in construction project management.
- Statistical approaches to sustainable construction and green building practices.
- Case studies showcasing the successful integration of statistical methods in construction projects.
We welcome contributions from researchers, practitioners, and professionals who are working at the forefront of this exciting intersection of construction management and statistics. Descriptive papers that address real-world applications and innovative approaches are particularly welcome.
Dr. Huihua Chen
Dr. Hongyan Yan
Dr. Zheng He
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 project management
- statistical analysis in construction
- risk management
- cost estimation and control
- quality assurance in construction
- sustainable construction practices
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