Innovation and Technology in Sustainable Construction

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 635

Special Issue Editors


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Guest Editor
School of Civil Engineering, Chongqing University, Chongqing 400044, China
Interests: engineering management; building construction and informatization; sustainable construction; intelligent construction; assembly building technology
School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Interests: intelligent construction and management; construction safety; existing building renovation
Special Issues, Collections and Topics in MDPI journals
School of Civil Engineering, Chongqing University, Chongqing 400044, China
Interests: fair-faced concrete; civil engineering construction; application of building information model; construction industrialization; green construction theory and practice
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Against the macro background of increasingly severe global environmental problems and scarce resources, the construction industry, as a significant source of energy consumption and carbon emissions, is in urgent need of realizing sustainable development. How to properly coordinate the balance between construction demand and ecological environment protection in the process of urbanization has become a core challenge for the construction industry.

In order to promote the green transformation, sustainable development and overall progress of the construction industry, this Special Issue focuses on a number of key directions in the field of building construction and invites researchers to actively publish their latest research results, and jointly explore the new concepts, technologies and methods of the future of building construction. The main topics covered in this Special Issue include, but are not limited to, the following:

  • Low-carbon construction methods;
  • Green construction materials;
  • Building carbon emissions research;
  • Construction intelligent technology;
  • Building information modeling;
  • Sustainable construction management;
  • Construction safety management and risk control;
  • Infrastructure construction.

Prof. Dr. Gang Yao
Dr. Wei Tian
Dr. Yang Yang
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 technology
  • sustainability
  • engineering project management
  • construction safety
  • intelligent construction
  • infrastructure construction
  • low carbon

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Published Papers (1 paper)

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Research

28 pages, 9259 KB  
Article
Research on an Intelligent Prediction Method for the Carbon Emissions of Prefabricated Buildings During the Construction Stage, Based on Modular Quantification
by Yang Yang, Xiaodong Cai, Xinlong Ma, Gang Yao, Ting Lei, Hongbo Tan and Ying Wang
Buildings 2025, 15(12), 1997; https://doi.org/10.3390/buildings15121997 - 10 Jun 2025
Cited by 1 | Viewed by 420
Abstract
Prefabricated buildings are widely utilized due to their effectiveness in reducing carbon emissions. The construction stage has a significantly higher carbon emission rate than the other stages of their life cycle, but this is difficult to accurately quantify and predict due to the [...] Read more.
Prefabricated buildings are widely utilized due to their effectiveness in reducing carbon emissions. The construction stage has a significantly higher carbon emission rate than the other stages of their life cycle, but this is difficult to accurately quantify and predict due to the high variability. This study clarifies the system boundary of carbon emissions and the parameters of influence in carbon emissions predictions. The carbon emission quantification model was improved by using the process analysis method and the carbon emission factor method, and a modular calculation formula was proposed. Based on the machine learning algorithm, a carbon emissions prediction model for prefabricated buildings’ construction stage was established and hyperparameter optimization was conducted. A sample database for predicting prefabricated buildings’ carbon emissions during the construction stage was established using a modular quantification method, and the thin plate spline interpolation algorithm was introduced to expand this. The prediction results of carbon emission prediction models using four algorithms, SVR, BPNN, ELM, and RF, were compared and analyzed by RMSE and R2. The results show that the model based on BPNN has the highest prediction accuracy when determining the carbon emissions of prefabricated building during the construction stage, and this method can provide a more accurate reference for subsequent quantitative research on carbon emissions from prefabricated buildings. Full article
(This article belongs to the Special Issue Innovation and Technology in Sustainable Construction)
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