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: 30 September 2026 | Viewed by 10538

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

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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 (4 papers)

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Research

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24 pages, 1888 KB  
Article
The Coupling Coordination Relationship and Influencing Factors Between the Green Building Industry and the Development Environment: A Case Study of the Yangtze River Economic Belt
by Ni Li, Huaming Wang, Haoyu Zhao and Bo Wang
Buildings 2026, 16(3), 563; https://doi.org/10.3390/buildings16030563 - 29 Jan 2026
Viewed by 335
Abstract
As a primary economic engine and strategic region in China, the development of the green building industry in the Yangtze River Economic Belt (YREB) holds demonstrative significance for the low-carbon transition of the country’s construction sector. Utilizing panel data from 11 provinces and [...] Read more.
As a primary economic engine and strategic region in China, the development of the green building industry in the Yangtze River Economic Belt (YREB) holds demonstrative significance for the low-carbon transition of the country’s construction sector. Utilizing panel data from 11 provinces and municipalities within the YREB during 2012–2022, this study constructs a comprehensive evaluation index system to measure the coupling coordination degree (CCD) between the green building industry and the development environment. The spatio-temporal evolution of the CCD is analyzed using methods including kernel density estimation, the Dagum Gini coefficient, spatial autocorrelation, and standard deviational ellipse. A fixed-effects model is further employed to identify its influencing factors. The results show that (1) both the green building industry and its development environment in the YREB exhibited upward trends, with the gap between them gradually narrowing. (2) The CCD across provinces and municipalities showed an overall upward trend, characterized by simultaneous “overall improvement” and “internal gradient differentiation” in spatio-temporal distribution, and displayed a spatial pattern of “higher values in the east and lower in the west.” (3) Urbanization level, government regulation, technological innovation, and consumption capacity exerted significant positive effects on the CCD, whereas the influence of education level and public environmental awareness remained insignificant. This study provides insights for formulating differentiated regional policies and optimizing the development environment for the green building industry. Full article
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15 pages, 5876 KB  
Article
Quantifying the Impact of Sports Stadiums on Urban Morphology: The Case of Jiangwan Stadium, Shanghai
by Hanyue Lu and Zong Xuan
Buildings 2025, 15(14), 2510; https://doi.org/10.3390/buildings15142510 - 17 Jul 2025
Cited by 1 | Viewed by 2570
Abstract
Sports stadiums significantly influence urban morphology; however, empirical quantification of these effects remains limited. This study quantitatively examines the spatiotemporal relationship between sports architecture and urban functional evolution using Jiangwan Stadium in Shanghai—China’s first Western-style sports facility—as a case study. Employing Point of [...] Read more.
Sports stadiums significantly influence urban morphology; however, empirical quantification of these effects remains limited. This study quantitatively examines the spatiotemporal relationship between sports architecture and urban functional evolution using Jiangwan Stadium in Shanghai—China’s first Western-style sports facility—as a case study. Employing Point of Interest (POI) data, ArcGIS spatial analyses, chi-square tests, and linear regression-based predictive modeling, we illustrate how the stadium has catalyzed urban regeneration and functional diversification over nearly a century. Our findings demonstrate a transition from sparse distributions to concentrated commercial and service clusters within a 1000 m radius around the stadium, notably in food and beverage, shopping, finance, insurance, and transportation sectors, significantly boosting local economic vitality. The area achieved peak functional diversity in 2016, showcasing a balanced integration of residential, commercial, and service activities. This research provides actionable insights for urban planners and policymakers on leveraging sports facilities to foster sustainable urban regeneration. Full article
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Other

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29 pages, 7597 KB  
Systematic Review
Cross-Regional Waste Management: A Systematic Literature Review
by Xingwei Li, Yuxi Zou and Lili Tan
Buildings 2025, 15(24), 4459; https://doi.org/10.3390/buildings15244459 - 10 Dec 2025
Viewed by 1073
Abstract
In recent years, cross-regional waste management has garnered significant academic interest, yet systematic reviews of related research remain scarce. Therefore, this study employed the PRISMA methodology to conduct a systematic review of 58 papers from the Web of Science and Scopus databases, aiming [...] Read more.
In recent years, cross-regional waste management has garnered significant academic interest, yet systematic reviews of related research remain scarce. Therefore, this study employed the PRISMA methodology to conduct a systematic review of 58 papers from the Web of Science and Scopus databases, aiming to clarify the current state of research in this field and explore future directions. Through analysis, five research themes were identified: management characteristics, core challenges, policy and regulation, technological innovation, and impact assessment. Research findings indicate that quantitative analysis constitutes 60% of the literature, representing the core methodology used in studies of cross-regional waste management. The challenges encountered in cross-regional waste management primarily manifest in three areas: environmental impacts, stakeholder relationships, and policy frameworks. Achieving cross-regional coordination necessitates collaborative efforts from governments, corporations, and society. This study further proposes future research directions providing support for future investigations by governments, universities, and corporate personnel. Full article
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30 pages, 3351 KB  
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
Cited by 6 | Viewed by 5597
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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