Data Analytics Applications for Architecture and Construction

Dear Colleagues,

Information Technologies in the Architecture, Engineering & Construction (AEC) industry has progressed significantly and now play important roles in all aspects of building. Information and data impact how project owners, architects, engineers, energy consultants, contractors, building operators, project managers, construction managers and AEC suppliers conduct their business. There is a very large amount of data generated throughout the building life cycle process yet this data is underutilised relative to other industries such as the retail, finance, supply chain and healthcare sectors. Recent papers have developed a set of questions that should/could frame more focused research which will improve the effectiveness of building design, building processes and construction project management. How can data analytics support building design? How can building owners or governments who are the owners of infrastructure, use data to facilitate their projects/portfolio management in a more effective way? How can data-driven practice facilitate architects, engineers and builders so project teams can deliver projects on time, within budget and sustainably, with safety for workers and with minimisation of waste? How can AEC practitioners use data in a more effective way to enable error elimination from future projects?  

This Special Issue will provide practice and conceptual examples of how buildings and infrastructure designs, contractual and construction process and building maintenance are designed and/or managed through the use of data analytics. Relevant topics to this Special Issue include but are not limited to the following subjects:

• Building owners data-driven initiatives 
• Data-driven architecture design
• Data-driven contractual management 
• Data-driven project procurement
• Data-driven construction and logistics management
• Data-driven building management
• Data-driven building energy management 
• Big Data analytics in construction
• Information systems software applications in construction
• Information management in construction projects
• Enabling sustainable construction through adoption of data analytics
• Data analytics and project infrastructure planning and management
• Data analytics and building materials performance

Dr. Sittimont Kanjanabootra
Prof. Dr. Patrick Tang
Dr. Dariusz Alterman
Dr. Bernard Tuffour Atuahene
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 250 words) can be sent to the Editorial Office for assessment.

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.