Lee, H. W., Osburn, L., Treece, B, (2023). Charging Forward: Evaluating Public-Private Partnerships for Electric Bus Base Conversion to Support a Zero-Emission Fleet. Seattle, WA.: Mobility Innovation Center, University of Washington.
Department: Construction Management
Measures, benefits, and challenges to retrofitting existing buildings to net zero carbon: A comprehensive review
Weerasinghe, L. N. K., Darko, A., Chan, A. P. C., Blay, K. B., & Edwards, D. J. (2024). Measures, benefits, and challenges to retrofitting existing buildings to net zero carbon: A comprehensive review. Journal of Building Engineering, 94, 109998-. https://doi.org/10.1016/j.jobe.2024.109998
Abstract
Net zero carbon (NZC) retrofitting of existing buildings contributes to improving occupants' well-being, addressing carbon footprint directly and is key to solving the global climate crisis. However, a fragmented NZC retrofit knowledge base exists and this challenges the ability to effectively implement NZC practices. This study, therefore, integratively and comprehensively reviews existing literature on NZC retrofitting of existing buildings and identifies research gaps to provide future research directions. Bibliometric analysis was conducted using 1544 relevant articles identified from Scopus. Moreover, based on 125 carefully selected articles, a further qualitative analysis was also conducted. Results indicated a gradual increase in interest in NZC retrofitting research since 2007. Emergent findings reveal that the UK, Italy, US, China and Spain are the top five countries in this research field and that in NZC retrofitting, energy is mostly prioritised. Key research themes include NZC retrofitting benefits, challenges and measures. Based on identified knowledge gaps, future research directions are proposed to include: (1) analysis of NZC retrofitting measures based on building types and climate conditions; (2) integration of NZC retrofitting measures; (3) effects of occupants' health, well-being and satisfaction on retrofitting; (4) integration of modern technology; (5) quantitative study on benefits; and (6) dealing with objections to NZC retrofitting. Emergent findings generate an in-depth understanding of the NZC retrofitting field and provide a useful milestone reference for future NZC retrofitting practice and improvement in the industry.
2024 Innovation in the Construction Industry
Prof. Dossick’s CM515 Spring 2024 Class. (2024). 2024 Innovation in the Construction Industry (Sturts Dossick, C., & Ray, L., Eds.). UW Libraries Pressbooks.
Abstract
This book contains a series of case studies authored by graduate students in CM515 Virtual Construction Management Spring 2024. We explored how people, teams, and companies change practices with a variety of new technologies in the workplace. You will find cases of people who are innovators, teams who took on innovation, and specific design and construction projects that realized these innovation practice changes.
Keywords
Technology; Engineering; Agriculture; Industrial processes
Products from 2023 Inspire Fund Cohort
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….
Assistant Professor Amos Darko wins 2023 Sustainability Young Investigator Award
Dr. Amos Darko, assistant professor in Construction Management has won the competitive international sustainability award, the 2o23 Sustainability Young Investigator Award. The award is in recognition of excellence in the field of sustainability and sustainable development. Congratulations to Dr. Darko on this achievement!
Awareness, adoption readiness and challenges of railway 4.0 technologies in a developing economy
Awodele, I. A., Mewomo, M. C., Municio, A. M. G., Chan, A. P. C., Darko, A., Taiwo, R., Olatunde, N. A., Eze, E. C., & Awodele, O. A. (2024). Awareness, adoption readiness and challenges of railway 4.0 technologies in a developing economy. Heliyon, 10(4), e25934–e25934. https://doi.org/10.1016/j.heliyon.2024.e25934
Abstract
The railway industry has witnessed increasing adoption of digital technologies, known as Railway 4.0, that is revolutionizing operations, infrastructure, and transportation systems. However, developing countries face challenges in keeping pace with these technological advancements. With limited research on Railway 4.0 adoption in developing countries, this study was motivated to investigate the awareness, readiness, and challenges faced by railway professionals towards implementing Railway 4.0 technologies. The aim was to assess the level of awareness and preparedness and identify the key challenges influencing Railway 4.0 adoption in Nigeria's railway construction industry. A questionnaire survey (was distributed to professionals in the railway construction sector to gather their perspectives on awareness of, preparation for, and challenges associated with the use of Railway 4.0 technologies. The results revealed that awareness of Railway 4.0 technologies was moderate, while readiness was low among the professionals. Using exploratory factor analysis, 10 underlying challenge constructs were identified including lack of technical know-how, resistance to change, infrastructure limitations, and uncertainty about benefits, amongst others. Partial Least Square Structural Equation Modelling (PLS-SEM) confirmed these constructs, with reliability and availability, lack of technical know-how, lack of training and resources, and uncertainties in benefit and gains having significant influence on awareness and readiness. The study concludes that focused efforts in training, infrastructure improvement, supportive policies, and communicating the advantages of Railway 4.0 are critical to drive adoption in Nigeria and other developing economies. The findings provide insights into tailoring Railway 4.0 implementation strategies for developing contexts.
Keywords
Railway 4.0; Awareness; Readiness; Challenges; Technologies
Key performance indicators for hospital planning and construction: a systematic review and meta-analysis
Liu, W., Chan, A.P.C., Chan, M.W., Darko, A. and Oppong, G.D. (2024), “Key performance indicators for hospital planning and construction: a systematic review and meta-analysis”, Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-10-2023-1060
Abstract
Purpose
The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).
Design/methodology/approach
The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.
Findings
Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.
Originality/value
There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.
Keywords
Key performance indicators; hospital projects; planning and construction; systematic review; meta-analysis; project monitoring effectiveness; industry innovation and synergy
Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana
Debrah, C., , , , , & (2024). Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana. Sustainable Development, https://doi.org/10.1002/sd.3022
Abstract
While there are many motivating factors for green finance (GF) implementation, a comprehensive taxonomy of these variables is lacking in the literature, especially for green buildings (GBs). This study aims to analyze the criticality and interdependence of GF-in-GB's driving factors. This study develops a valid set of factors to justify the interrelationships among the drivers. The drivers of GF-in-GB are qualitative in nature, and uncertainties exist among them due to linguistic preferences. This study applies the fuzzy Delphi method to validate eight drivers under uncertainties. Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) with qualitative information is used to determine the interrelationships among the drivers. The drivers were grouped under two categories: prominent drivers and cause-effect drivers. The findings revealed that “increased awareness of GF models in GB” and “preferential capital requirements for low-carbon assets” are the top two most prominent/important drivers of GF-in-GB. In Ghana, the top three cause group drivers are “climate commitment,” “improved access to and lower cost of capital,” and “favorable macroeconomic conditions and investment returns.” Drivers with the highest prominence values have the potential to affect and/or be affected by other drivers; therefore, managers and policymakers should prioritize promoting or pursuing these drivers in the short term. On the other hand, it is important to pay more than equal attention to the drivers with the highest net cause values because they have the largest long-term impact on the entire system. The theoretical and practical implications of the study are discussed, enhancing understanding and decision-making in GF-in-GB.
The impact of penalties, incentives, and monitoring costs on the stakeholders’ decision-making behaviors in non-compliance drone operations
Wang, X., Yang, Y., Darko, A., Chan, A. P. C., & Chi, H.-L. (2024). The impact of penalties, incentives, and monitoring costs on the stakeholders’ decision-making behaviors in non-compliance drone operations. Technology in Society, 77. https://doi.org/10.1016/j.techsoc.2024.102589
Abstract
As an automated assistive tool, drones have revolutionized industrial activities and brought numerous potential benefits to society. However, irresponsible drone users often disregard compliance with regulations, leading to new challenges in drone usage. Although governments have implemented punishment and incentive mechanisms to prevent non-compliant drone operations, the extent to which they can effectively deter such activities remains unclear. To address this gap, the study employed evolutionary game theory to assess the impacts of penalties for non-compliance, incentives for public monitoring, and monitoring costs for the government on the multiple stakeholders' decision-making behaviors (SDBs). The study also used the Chinese construction market data to simulate how penalties, incentives, and monitoring costs influence SDBs. The numerical simulations reveal that penalties and incentives could reduce drone users' non-compliant operations, but this effect is useful only if the penalties and incentives exceed a certain value. In China, drone users' non-compliant operations can be controlled when penalties for drone users exceed 12,000 yuan, and incentives for the public's monitoring exceed 170 yuan/day. The current Chinese government's penalties that were administered for non-compliant drone operations have not achieved a deterrent effect, but the incentive is feasible. These findings provide a fresh insight into the decision-making behaviors of stakeholders in non-compliant drone operations. Additionally, the tripartite evolutionary game model developed in this study can assist other countries in determining optimal values for penalties, incentives, and monitoring costs to mitigate non-compliant drone operations effectively.
Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana
Debrah, C., Chan, A. P. C., Darko, A., Ries, R. J., Ohene, E., & Tetteh, M. O. (2024). Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana. Sustainable Development., 1–22. https://doi.org/10.1002/sd.3022
Abstract
While there are many motivating factors for green finance (GF) implementation, a comprehensive taxonomy of these variables is lacking in the literature, especially for green buildings (GBs). This study aims to analyze the criticality and interdependence of GF‐in‐GB's driving factors. This study develops a valid set of factors to justify the interrelationships among the drivers. The drivers of GF‐in‐GB are qualitative in nature, and uncertainties exist among them due to linguistic preferences. This study applies the fuzzy Delphi method to validate eight drivers under uncertainties. Fuzzy Decision‐Making Trial and Evaluation Laboratory (FDEMATEL) with qualitative information is used to determine the interrelationships among the drivers. The drivers were grouped under two categories: prominent drivers and cause‐effect drivers. The findings revealed that “increased awareness of GF models in GB” and “preferential capital requirements for low‐carbon assets” are the top two most prominent/important drivers of GF‐in‐GB. In Ghana, the top three cause group drivers are “climate commitment,” “improved access to and lower cost of capital,” and “favorable macroeconomic conditions and investment returns.” Drivers with the highest prominence values have the potential to affect and/or be affected by other drivers; therefore, managers and policymakers should prioritize promoting or pursuing these drivers in the short term. On the other hand, it is important to pay more than equal attention to the drivers with the highest net cause values because they have the largest long‐term impact on the entire system. The theoretical and practical implications of the study are discussed, enhancing understanding and decision‐making in GF‐in‐GB.
Keywords
fuzzy Delphi method; fuzzy DEMATEL; green building; green finance; sustainable development