Advances in Urban and Construction Management Under the Sustainable Development Goals: Interdisciplinary Perspectives and Evidence

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Architectural Design, Urban Science, and Real Estate".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 451

Special Issue Editors

College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China
Interests: construction and demolition waste; industrial ecology; green behavior; environmental psychology; green development; environmental management; supply chain management
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Guest Editor
School of Government, Yunnan University, Kunming 650500, China
Interests: urban management; human activities; pro-social behavior; risk attitude

Special Issue Information

Dear Colleagues,

Sustainable development goals (SDGs) have been the focus of research in the field of urban and construction management and have continued to attract scholarly attention along with the complexity of environmental pollution and organization. With the opportunities and challenges that artificial intelligence, technological innovation, or big data bring to urban and construction management, traditional management decisions have had to consider both schedule, quality, profit, and responsiveness to SDGs. Unfortunately, existing research does not provide a uniform understanding of SDGs in urban and construction management. Therefore, this Special Issue aims to report advances in urban and construction management research towards SDGs through a multidisciplinary perspective in line with the scope of Buildings. This Special Issue plans to give an overview of the most recent advances in the field of urban and construction management research towards SDGs and their applications in diverse areas. Specifically, it aims to provide new contributions to decision making for urban and construction management. We welcome new discoveries that reveal urban and construction management research towards SDGs. We welcome contributions based on theoretical foundations and using quantitative and qualitative methods and encourage authors to provide empirical and theoretical research papers, critical literature reviews, and interdisciplinary research.

Dr. Xingwei Li
Prof. Dr. Lili Tan
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

  • artificial intelligence
  • big data
  • building information modeling (BIM)
  • construction and demolition waste
  • construction management
  • decision making
  • organizational behavior
  • project management
  • smart city
  • smart construction
  • supply chain management
  • sustainable development goals
  • technological innovation
  • urban agglomeration
  • urban management
  • urban resilience

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Published Papers (1 paper)

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30 pages, 3351 KiB  
Systematic Review
Applications of Building Information Modeling (BIM) and BIM-Related Technologies for Sustainable Risk and Disaster Management in Buildings: A Meta-Analysis (2014–2024)
by Jiao Wang, Yuchen Ma, Rui Li and Suxian Zhang
Buildings 2025, 15(13), 2289; https://doi.org/10.3390/buildings15132289 - 29 Jun 2025
Viewed by 83
Abstract
Sustainable risk and disaster management in the built environment has become a critical research focus amid escalating environmental challenges. Building Information Modeling (BIM) is recognized as a key digital tool for enhancing disaster resilience through simulation, data integration, and collaborative management. This study [...] Read more.
Sustainable risk and disaster management in the built environment has become a critical research focus amid escalating environmental challenges. Building Information Modeling (BIM) is recognized as a key digital tool for enhancing disaster resilience through simulation, data integration, and collaborative management. This study systematically reviews BIM applications in sustainable risk and disaster management from 2014 to 2024, employing the PRISMA framework, literature coding, and network analysis. Five primary research clusters are identified: (a) sustainable construction and life cycle assessment, (b) performance evaluation and implementation, (c) technology integration and digital innovation, (d) Historic Building Modeling (HBIM) and post-disaster reconstruction, and (e) project management and technology adoption. Despite increasing scholarly attention, the field remains dominated by conceptual studies, with limited empirical exploration of emerging technologies such as artificial intelligence (AI). Four key challenges are highlighted: weak foundational integration with structural risk research, technological bottlenecks in AI and digital applications, limited practical implementation, and insufficient linkage between sustainability and risk management. Future trends are expected to focus on achieving Industry 4.0 interoperability, advancing AI-driven intelligent disaster response, and adopting multi-objective optimization strategies balancing resilience, sustainability, and cost-effectiveness. This study provides a comprehensive overview of the field’s evolution and offers insights into strategic directions for future research and practical innovation. Full article
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