Assistant Professor in the Department of Construction Management Dr. Amos Darko has been named to the editorial board of the American Society of Civil Engineers (ASCE) Journal of Construction Engineering and Management as an Assistant Specialty Editor for the Sustainable Construction area. This appointment serves as an important recognition of Dr. Darko’s expertise and research in sustainable construction. Dr. Darko will play a key role in reviewing submitted manuscripts to this area of the journal. We congratulate Dr. Darko on…
Department: Construction Management
A cross-economy examination of circular procurement implementation in construction: key drawbacks and strategies toward a sustainable built environment
Abstract
Purpose
Circular procurement (CP) systems have become essential in the face of resource scarcity, environmental degradation and the need for cost savings. However, its widespread adoption for construction projects has been notably slow. This study sets out to examine the barriers to CP implementation and explore potential solutions to accelerate its uptake within the global construction industry.
Design/methodology/approach
The study employs a quantitative approach to examine perspectives of 132 procurement experts from a split sample of two geo-economic contexts: developed and developing economies. It determines, categorizes and evaluates the barriers and strategies associated with CP implementation using descriptive statistics, principal components and comparative agreement analysis.
Findings
The findings revealed major impediments at different system levels including inadequate leadership and commitment for circular practices, little knowledge of CP opportunities, linear construction business setup and weak policies on circularity. These drawbacks were prevalent among experts from both geo-economic contexts. However, other barriers like cultural and industry behaviors were not commonly considered significant. Some effective strategies recommended by industry professionals were centered around organizational dynamics, industry nudging and financing, skill and cultural adaptation, and innovation and development mechanisms. The cross-economy comparison highlighted varying degrees of consensus in the significance of the strategies, indicative that approaches to dealing with challenges vary across economies.
Originality/value
This study, the first of its kind in the construction sector, offers insights into CP implementation dynamics, i.e. challenges and strategies relevant to different geoeconomic contexts. The comparative approach between developed and developing economies adds a unique dimension to the understanding of the peculiarities of CP adoptions and what strategies may apply.
Keywords
Circular procurement (CP); barriers; strategies; construction sector; geoeconomic context; comparative analyses
Can large language models replace human experts? Effectiveness and limitations in building energy retrofit challenges assessment
Linyan Chen, Amos Darko, Fan Zhang, Albert P.C. Chan, Qiang Yang,Can large language models replace human experts? Effectiveness and limitations in building energy retrofit challenges assessment,Building and Environment,Volume 276,2025,112891, ISSN 0360-1323,
https://doi.org/10.1016/j.buildenv.2025.112891.
Abstract
Retrofitting existing buildings is essential to improve energy efficiency and achieve carbon neutrality in the fight against global climate change. Large language models (LLMs) have recently attracted significant attention for their ability to process data efficiently. While LLMs have emerged as useful tools for various tasks, their potential to replace human experts in assessing building energy retrofit challenges remains unexplored. This research explores the potential of replacing human experts with LLMs by evaluating four mainstream LLM chatbots and comparing their performance against a human expert benchmark through semantic similarity and text correlation metrics. It answers the research question: can LLMs replace human experts in assessing the challenges to building energy retrofits? Prompt engineering techniques, including zero-shot and chain-of-thought (CoT) prompting, were employed to guide LLM responses. Results show that LLMs perform well in identifying challenges but are less reliable in ranking them. CoT prompting improves challenge ranking accuracy but does not enhance challenge identification. Incorporating domain-specific knowledge in prompts significantly enhances LLM performance, whereas prompts designed to simulate experts have notable limitations in improving LLM performance. Furthermore, there are no significant performance differences among LLMs, including their advanced versions. While LLMs can streamline the initial identification of building energy retrofit challenges, they cannot fully replace expert judgment in ranking challenges due to their lack of tacit knowledge. This research provides valuable insight into the capabilities and limitations of LLMs in the challenge assessment, offering practical guidance for industry practitioners seeking to integrate LLMs into their building energy efficiency practices.
Keywords
Large language model; Building energy retrofit; Challenges assessment; Prompt engineering; Generative artificial intelligence
Portland Limestone Cement in Concrete Pavement and Bridge Decks: Performance Evaluation and Future Directions
Akerele, D. D., Aguayo, F., & Wu, L. (2025). Portland Limestone Cement in Concrete Pavement and Bridge Decks: Performance Evaluation and Future Directions. Buildings, 15(5), 660. https://doi.org/10.3390/buildings15050660
Abstract
With the rising demand for sustainable infrastructure, addressing the limitations of Ordinary Portland Cement (OPC) is crucial, particularly for exposed structures such as pavements and bridge decks. Portland limestone cement (PLC) is a sustainable alternative that delivers environmental benefits and comparable performance. This study used a systematic review and meta-analysis with a random-effects model to evaluate PLC’s strength development, durability, and sustainability. The findings indicate that PLC generally matches or surpasses OPC in terms of compressive strength, freeze–thaw resistance, and sulfate durability. However, its setting time and early-age cracking require further optimization, especially in cold climates. Additionally, this study highlights the fire performance advantages of PLC and its enhanced chloride resistance. The analysis identified critical research gaps, including long-term field performance and regional adaptation to extreme environmental conditions. These findings contribute to a deeper understanding of PLC’s role in sustainable construction and offer future research directions on hybrid cements and admixture compatibility.
Keywords
Portland limestone cement (PLC); type 1L cement; concrete pavement; bridge deck; sustainability; low-carbon; CO2 reduction
2025 Inspire Fund Awardees Selected
The 2025 Inspire Fund Awardees have been selected! See more information about their projects below. Project Title: “Enhancing Feasibility and Evaluation for the Housing Choice Voucher Homeownership Program in King County” Team: Vince Wang (Runstad Department of Real Estate), Zhongmin Evy Luo (PhD student, Built Environments), Kristin Pace (KCHA) Project Title: “Wildfire Smoke Readiness of Low-Income Households in Seattle” Amos Darko (Construction Management), Alvina Ekua Ntefua Saah (PhD Student, College of Built Environments) Project Title: “Equitable Public Electric Vehicle Charging…
Evaluating the Impact of CO2 on Calcium SulphoAluminate (CSA) Concrete
Akerele, D. D., & Aguayo, F. (2024). Evaluating the Impact of CO2 on Calcium SulphoAluminate (CSA) Concrete. Buildings, 14(8), 2462. https://doi.org/10.3390/buildings14082462
Abstract
The construction industry is a significant contributor to global CO2 emissions, primarily due to the extensive use of ordinary portland cement (OPC). In response to the urgent need for sustainable construction materials, calcium sulphoaluminate (CSA) cement has emerged as a promising alternative. CSA cement is renowned for its low carbon footprint, high early-age strength, and superior durability, making it an attractive option for reducing the environmental impact of construction activities. While CSA cement offers benefits in carbon emissions reduction, its susceptibility to carbonation presents challenges. Although the body of literature on CSA cement is rapidly expanding, its adoption rate remains low. This disparity may be attributed to several factors including the level of scientific contribution in terms of research focus and lack of comprehensive standards for various applications. As a result, the present study sets out to track the research trajectory within the CSA cement research landscape through a systematic literature review. The study employed the Prefer Reporting Item for Systematic Review and Meta-Analysis (PRISMA) framework to conduct a literature search on three prominent databases, and a thematic analysis was conducted to identify the knowledge gap for future exploration. The study revealed that while CSA concrete demonstrates superior early-age strength and environmental resistance, its susceptibility to carbonation can compromise structural integrity over time. Key mitigation strategies identified include the incorporation of supplementary cementitious materials (SCMs), use of corrosion inhibitors, and optimization of mix designs. The review also highlights the global distribution of research, with notable contributions from the USA, China, and Europe, emphasizing the collaborative effort in advancing CSA concrete technology. The findings are crucial for enhancing sustainability and durability in the construction sector and advancing CSA binders as a sustainable alternative to traditional cement.
Keywords
concrete; calcium sulphoaluminate cement (CSA); mechanical properties; carbonation (CO2); durability; sustainability
Assistant Professor Fred Aguayo Awarded Royalty Research Fund
Dr. Fred Aguayo, Assistant Professor in the Department of Construction Management, has been awarded a Royalty Research Fund for his project entitled “Developing a Reliable, Rapid, and Robust (R3) Performance Test Method for Carbonation Induced Corrosion of Cement-Based Mixtures.” Congratulations to Dr. Aguayo!
Energy Efficiency Retrofitting of Existing Building Stock for Net Zero
Tetteh, M. O., Darko, A., Boateng, E. B., & Chan, A. P. C. (2024). Energy Efficiency Retrofitting of Existing Building Stock for Net Zero. In Rethinking Pathways to a Sustainable Built Environment (pp. 142–158). Routledge. https://doi.org/10.1201/9781003317890-9
Abstract
Existing buildings’ retrofits improve energy efficiency and are a crucial part of global decarbonization plan. There is a need for a better understanding of public sentiment toward energy efficiency retrofitting of existing buildings (EEREB) to effectively promote its widespread adoption through policy interventions. Currently, there is a lack of comprehensive studies that assess the general public's sentiments toward EEREB. This chapter utilizes social media data to assess the overall public's sentiments of EEREB. Sentiment analysis was used to analyze a total of 3,306 comments from the social media platform YouTube. The concerns and perceptions of the public were analyzed using a Latent Dirichlet Allocation model, which identified nine main themes. These themes include ventilation, energy efficiency, indoor environment quality, comfort and occupant behavior, cost considerations, community engagement, technology usage, implementation knowledge, and social impact. The public expressed stronger positive sentiments, with about 64% reporting favorable views of EEREB and acknowledging its benefits. In addition, interesting patterns of perceptions shaped by a combination of generic and local-specific factors were identified. This chapter enhances the understanding of the general public's needs, concerns, and views on EEREB. Additionally, it could provide valuable insights for policymakers to refine or develop more effective actions in support of EEREB.
Green Finance: A Tool for Financing Green Building Projects
Debrah, C., Chan, A. P. C., Darko, A., Owusu-Manu, D.-G., & Ohene, E. (2024). Green Finance. In Rethinking Pathways to a Sustainable Built Environment (pp. 277–302). Routledge. https://doi.org/10.1201/9781003317890-18
Abstract
Green building is an “unheralded hero” in the global emissions fight. Its business case has raised demand from several stakeholders. It is seen as a multitrillion-dollar business opportunity of the next decade, leading to increased green finance (GF) investment for green building. GF is accepted as a tool to finance climate change mitigation and adaptation actions, including buildings and construction. To promote GF for green building, collaboration efforts between governments, businesses, investors, and the public are key. This chapter presents the evolution of GF for green building, an overview of the implementation and its potentials, with a focus on the role of stakeholders, policies, regulations, and incentives. Typologies of GF for green building and some examples of success stories are discussed. Other related issues such as green standards, green certifications, and green indices are examined. This chapter facilitates a systematic and comprehensive understanding of the subject. Overall, it summarises the development of GF in this field and the consequent impact on climate action.
Automated daily report generation from construction videos using ChatGPT and computer vision
Xiao, B., Wang, Y., Zhang, Y., Chen, C., & Darko, A. (2024). Automated daily report generation from construction videos using ChatGPT and computer vision. Automation in Construction, 168, 105874-. https://doi.org/10.1016/j.autcon.2024.105874
Abstract
Daily reports are important in construction management, informing project teams about status, enabling timely resolutions of delays and budget issues, and serving as official records for disputes and litigation. However, current practices are manual and time-consuming, requiring engineers to physically visit sites for observations. To fill this gap, this paper proposes an automated framework to generate daily construction reports from on-site videos by integrating ChatGPT and computer vision (CV)-based methods. The framework utilizes CV methods to analyze video footage and extract relevant productivity and activity information, which is then fed into ChatGPT using proper prompts to generate daily reports. A web application is developed to implement and validate the framework on a real construction site in Hong Kong, generating daily reports over a month. This research enhances construction management by significantly reducing documentation efforts through generative artificial intelligence, with potential applications in jobsite safety management, quality reporting, and stakeholder communication.
Keywords
Construction daily report generation; Computer vision; ChatGPT; Construction management; Project documentation