Multi-Scale, Multi-Viewpoint Circular Economy Innovation in Urban and Transportation Systems

A special issue of CivilEng (ISSN 2673-4109). This special issue belongs to the section "Urban, Economy, Management and Transportation Engineering".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1111

Editor

Special Issue Information

Dear Colleagues,

The world faces the worst challenge stemming from the negative environmental impacts arising from the construction and maintenance of built environments, which consume the most resources and has the largest carbon footprint globally. Societies, governments and industry sectors worldwide have thus been seeking more efficient and sustainable research and innovation that underpin the transition towards net zero. Many interdisciplinary efforts have considered circular thinking in construction practices, maintenance technologies and asset management, integrating resource circularity into sustainability frameworks. This Special Issue will collect recent advances in research, technologies and innovation that enhance multi-scale, multi-viewpoint circular practices for the built environment sector. Areas of interest include, but are not limited to, the following:

  • Construction adaptability;
  • Benchmarking framework;
  • Deconstruction;
  • Stakeholder management;
  • BIM and digital twin;
  • AI and machine learning;
  • Sustainable materials;
  • Sustainable construction;
  • Sustainable asset management;
  • Sustainable development;
  • Net zero and NZEB concept;
  • Lifecycle assessment;
  • Smart cities;
  • Carbon neutrality;
  • Resilience.

Dr. Sakdirat Kaewunruen
Guest Editor

Manuscript Submission Information

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Keywords

  • construction adaptability
  • benchmarking framework
  • deconstruction
  • stakeholder management
  • BIM and digital twin
  • AI and machine learning
  • sustainable materials
  • sustainable construction
  • sustainable asset management
  • sustainable development
  • net zero and NZEB concept
  • lifecycle assessment
  • smart cities
  • carbon neutrality
  • resilience

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Published Papers (1 paper)

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41 pages, 4116 KB  
Systematic Review
Integrating Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies to Automate CO2 Emission Calculations and Support Low-Carbon Building Design: A Systematic Literature Review
by Kálita Cristina Araújo, Ana Carolina Fernandes Maciel and Bruno Barzellay Ferreira da Costa
CivilEng 2026, 7(2), 38; https://doi.org/10.3390/civileng7020038 - 17 Jun 2026
Viewed by 518
Abstract
The decarbonization of the Architecture, Engineering, Construction, and Operation (AECO) sector has increased the need to incorporate carbon metrics into design decision-making. This article presents a Systematic Literature Review (SLR), based on the PRISMA protocol, to investigate whether the automation of CO2 [...] Read more.
The decarbonization of the Architecture, Engineering, Construction, and Operation (AECO) sector has increased the need to incorporate carbon metrics into design decision-making. This article presents a Systematic Literature Review (SLR), based on the PRISMA protocol, to investigate whether the automation of CO2 emission calculation combined with artificial intelligence has been used to support lower-impact design decisions in BIM-based building design. Searches were conducted in the Scopus, Web of Science, and ScienceDirect databases, considering articles published between 2021 and 2025, resulting in 2567 records. After duplicate removal and successive screening stages, 85 studies composed the final sample, classified into Core studies (BIM + CO2 + AI) and Base studies (BIM + AI, BIM + CO2, BIM + AI + Sustainability, and AI + CO2). The results indicate the predominance of partial integrations and limited representation of Core studies. Although 60% of the studies quantify carbon, only 39% use this quantification to propose, compare, or optimize design alternatives. The findings suggest that BIM + CO2 + AI integration has potential to support low-carbon building design but still requires greater standardization, interoperability, validation, traceability, and operational integration. Full article
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