Darko Amos, Weerasinghe Lichini Nikesha Kumari, Chan Albert Ping Chuen, & Wu Lingzi. (2025). Partial Least Squares Structural Equation Modeling of Challenges to Existing Residential Building Net Zero Carbon Retrofitting. Journal of Construction Engineering and Management, 151(8), 05025005. doi:10.1061/JCEMD4.COENG-16471
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Abstract
Residential buildings play a significant role in global energy usage and carbon emissions. In Hong Kong, they contribute to 27% of energy usage and associated carbon emissions. Retrofitting residential buildings to net zero carbon (NZC) is an efficient way to lower carbon emissions and prevent climate change. However, the widespread adoption of NZC retrofitting in the industry has been limited by several challenges, which have rarely been addressed in research. This study intended to evaluate the linkages among various challenges while assessing their impacts on NZC retrofitting of existing residential buildings. Data were collected through a questionnaire survey with 123 residential building occupants in Hong Kong, whose perspectives are largely ignored in existing building retrofit research. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data. Outcomes indicated that technical and social challenges have a considerable negative effect on residential building NZC retrofitting. In addition, this study highlights the connections between challenge categories and presents a predictive model illustrating the relationships between challenges and residential building NZC retrofitting. Theoretically, the outcomes of this study provide new insights into the relationships between residential building NZC retrofitting challenges and their interactive effects, revealing that the challenges influence one another and do not exist in isolation. Practically, the findings could be useful to policymakers and practitioners seeking to promote NZC retrofitting by enabling the development of effective policies and strategies to mitigate the identified challenges.
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
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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
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…
Professor Carrie Sturts Dossick, Associate Dean for Research, and Assistant Professor Lingzi Wu both from the department of Construction Management, presented at the 2024 Northwest Construction Consumer Council (NWCCC) Conference, “AI and Digital Technology in Construction” and Distinguished Project Awards. Their presentations are linked below. Assistant Professor Wu gave a presentation entitled “AI-Powered Solutions for Next-Generation Construction Management.” Professor Sturts Dossick presented on Cybersecurity Planning.
A cohort of 4 projects were awarded Inspire Funds in April 2023. The report-outs from these projects are described below with a summary of project work and progress. The 2023 cohort of Inspire Fund awardees met with the 2024 cohort of awardees in May 2024 to share their accomplishments, successes, and challenges, and to foster a connection between these research teams as resources to one another. The 2024 cohort has begun their projects and will share their products in 2025….
The CBE Inspire Fund Awardees for the 2024 cycle have been selected! Their project names and team members are outlined below. Title: Mycelium Grow Lab for Student-led Research Team: Gundula Proksch (Associate Professor, Architecture), Tyler Sprague (Associate Professor, Architecture) Title: Exhibition of the works of OUR: Office of (Un)certainty Research Team: Vikram Prakash (Professor, Architecture) Title: Emergence, Resilience, and Future(s) of Urban Informality in Seattle Team: Julie Johnson (Associate Professor, Landscape Architecture), Manish Chalana (Associate Professor, Urban Design and Planning)…
Wu, L., Mohamed, E., Jafari, P., & AbouRizk, S. (2023). Machine Learning–Based Bayesian Framework for Interval Estimate of Unsafe-Event Prediction in Construction. Journal of Construction Engineering and Management, 149(11). https://doi.org/10.1061/JCEMD4.COENG-13549
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Abstract
Construction safety is a critical concern for industry and academia, and numerous models and algorithms have been developed to predict incidents or accidents to facilitate proactive decision-making. However, previous studies have been limited due to the inability to account for uncertainties because predictions are given as a single value (i.e., Yes or No) and the failure to integrate subjective judgment. To address these limitations, this research proposes a machine learning–based Bayesian framework for predicting construction incidents using interval estimates. This framework combines a state-of-the-art machine-learning algorithm with a binary Bayesian inference model to develop an incident predictor that considers a range of project characteristics and conditions. Notably, this framework also is capable of incorporating historical or subjective judgment through prior selection and outputs the unsafe event prediction as an interval of possibilities, thus accounting for various uncertainties. The efficacy of our framework was demonstrated in a real-life case study, showcasing its practical implications for proactive decision-making and risk management in the construction industry and representing a valuable contribution to the field of construction safety.
CBE researchers worked with the Charles Pankow Foundation to develop a new Building Owner Assessment Tool (BOAT). Team members included CBE Dean Renée Cheng, FAIA; Associate Dean for Research Carrie Sturts Dossick, Ph.D, P.E.; and Laura Osburn, Ph.D. Other team members included Lingzi Wu, Ph.D. Daniel Dimitrov, and Xianxiang Sean Zhao. The tool was developed in partnership with the American Institute of Architects and the Integrated Project Delivery Alliance. The Building Owner Assessment Tool (BOAT): Helping You Understand Your Culture and Its…
The new cohort of faculty have made a big impact in their initial time on campus. Please see the full story here. The cohort includes: Dr. Narjes Abbasabadi, an assistant professor in the Department of Architecture and affiliate data science faculty UW eScience Institute, studies computation and decarbonization of the built environment. Dr. Amos Darko, an assistant professor in Construction Management, studies how digital technologies can help people better monitor, assess, understand, and improve the sustainability performance of the built…
In 2021, the College of Built Environments launched the CBE Inspire Fund to “inspire” CBE research activities that are often underfunded, but for which a relatively small amount of support can be transformative. The Inspire Fund aims to support research where arts and humanities disciplines are centered, and community partners are engaged in substantive ways. Inspire Fund is also meant to support ‘seed’ projects, where a small investment in early research efforts may serve as a powerful lever for future…