Nnaji, Chukwuma; Lee, Hyun Woo; Karakhan, Ali; Gambatese, John. (2018). Developing a Decision-Making Framework to Select Safety Technologies for Highway Construction. Journal Of Construction Engineering And Management, 144(4).
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Abstract
Highway construction has consistently reported relatively high fatality rates largely because of the considerable exposure of workers to live traffic. To address this anomaly, traffic control planners are tasked with making decisions geared toward reducing hazardous situations caused by transiting vehicles and construction equipment. The growing application of technologies to enhance worker safety should be considered during the traffic control planning process. In certain cases, decisions such as choosing among technology options are made using experiential individual knowledge without the application of scientific and systematic decision-making methods. Use of experience-based decision making in this context is largely the result of sparse literature on scientific methods of selecting between alternatives in highway construction work zones. By applying the Choosing by Advantages (CBA) decision-making method, a process that achieves sound and effective decisions, the current study aims to fill the gap in practice by proposing a decision-making framework that could enhance the value-cost selection process of safety technologies in highway construction work zones. A situation that applied work zone intrusion alert technologies (WZIATs) was selected as a case study. Using a focus group session and case projects as an evaluation study process, the proposed framework based on the CBA decision-making process was applied to evaluate three WZIATs. Findings from the current study will benefit safety professionals and practitioners by providing a step-by-step approach to make sound decisions that can enhance the level of safety in highway construction work zones.
Keywords
Construction Equipment; Decision Making; Occupational Safety; Project Management; Road Building; Effective Decisions; Decision-making Framework; Value-cost Selection Process; Highway Construction Work Zones; Work Zone Intrusion Alert Technologies; Cba Decision-making Process; Sound Decisions; Traffic Control Planners; Worker Safety; Traffic Control Planning Process; Technology Options; Scientific Decision-making Methods; Systematic Decision-making Methods; Experience-based Decision Making; Advantages Decision-making Method; Safety Technologies; Knowledge; Signs
Lee, Yong-Cheol; Shariatfar, Moeid; Rashidi, Abbas; Lee, Hyun Woo. (2020). Evidence-Driven Sound Detection for Prenotification and Identification Of Construction Safety Hazards and Accidents. Automation In Construction, 113.
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Abstract
As the construction industry experiences a high rate of casualties and significant economic loss associated with accidents, safety has always been a primary concern. In response, several studies have attempted to develop new approaches and state-of-the-art technology for conducting autonomous safety surveillance of construction work zones such as vision-based monitoring. The current and proposed methods including human inspection, however, are limited to consistent and real-time monitoring and rapid event recognition of construction safety issues. In addition, the health and safety risks inherent in construction projects make it challenging for construction workers to be aware of possible safety risks and hazards according to daily planned work activities. To address the urgent demand of the industry to improve worker safety, this study involves the development of an audio-based event detection system to provide daily safety issues to laborers and through the rapid identification of construction accidents. As an evidence-driven approach, the proposed framework incorporates the occupational injury and illness manual data, consisting of historical construction accident data classified by types of sources and events, into an audio-based safety event detection framework. This evidence-driven framework integrated with a daily project schedule can automatically provide construction workers with prenotifications regarding safety hazards at a pertinent work zone as well as consistently contribute to enhanced construction safety monitoring by audio-based event detection. By using a machine learning algorithm, the framework can clearly categorize the narrowed-down sound training data according to a daily project schedule and dynamically restrict sound classification types in advance. The proposed framework is expected to contribute to an emerging knowledge base for integrating an automated safety surveillance system into occupational accident data, significantly improving the accuracy of audio-based event detection.
Keywords
Construction Projects; Occupational Hazards; Construction Workers; Construction; System Safety; Video Surveillance; Work-related Injuries; Audio-based Accident Recognition; Autonomous Safety Surveillance; Construction Safety; Evidence-driven Sound Event Detection; Accident Prevention; Accidents; Audio Acoustics; Classification (of Information); Construction Industry; Health Hazards; Health Risks; Knowledge Based Systems; Learning Algorithms; Losses; Machine Learning; Monitoring; Motion Compensation; Occupational Diseases; Steel Beams And Girders; Audio-based; Construction Accidents; Construction Work Zones; Historical Construction; Sound Event Detection; State-of-the-art Technology; Vision Based Monitoring; Algorithm; System
Zhang, Zhenyu; Lin, Ken-yu; Lin, Jia-hua. (2022). 2safe: A Health Belief Model-integrated Framework For Participatory Ergonomics. Theoretical Issues In Ergonomics Science, 1 – 18.
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Abstract
Abstract Initiating ergonomics interventions in a business environment requires changes in the behaviour of relevant actors. When participating in an intervention, researchers need to collect and share information with practitioners to help them make better behaviour-related decisions. This paper describes the five-step 2SAFE (Surveillance, Screening, Assessment, Framing, and Evaluation) planning framework, which can be used to guide research-practice collaboration in participatory ergonomics programmes. This framework combines the understanding of work-related musculoskeletal disorders with the principles of the health belief model. This theoretical synthesis empowers the framework to address the following critical challenges: (1) how to make data collection processes attuned to the nature of ergonomic injuries; and (2) how to transform the data collected into immediately usable information for practitioners to change their behaviours. The framework is interdisciplinary and can facilitate transfer of knowledge between ergonomics and health behaviour science. The framework can enhance the ability of researchers to collaborate with practitioners and bring participatory ergonomics programmes closer to success. In the long term, we hope that this framework can lead to more high-quality interventions that are able to prevent work-related musculoskeletal disorders in various industrial settings. [ABSTRACT FROM AUTHOR]; Copyright of Theoretical Issues in Ergonomics Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Keywords
Health Belief Model; Intervention Programme; Participatory Ergonomics; Planning Framework; Work-related Musculoskeletal Disorders
Launching the Inspire Fund: An early step for CBE’s Office of Research “For a small college, CBE has a broad range of research paradigms, from history and arts, to social science and engineering.” — Carrie Sturts Dossick, Associate Dean of Research Upon taking on the role of Associate Dean of Research, Carrie Sturts Dossick, professor in the Department of Construction Management, undertook listening sessions to learn about the research needs of faculty, staff and students across the College of Built…
In 2021 the College of Built Environments launched the CBE Inspire Fund, designed to support CBE research activities for which a relatively small amount of support can be transformative. The second year of awards have just been announced, supporting five projects across 4 departments within the college as they address topics such as food sovereignty, anti-displacement, affordable housing, and health & wellbeing. This year’s awardees include: Defining the New Diaspora: Where Seattle’s Black Church Congregants Are Moving and Why Rachel…
Previous studies on construction hazard prevention have shown that almost 50% of construction fatalities and accidents can be linked to decisions made during the design process. To address the influence of upstream design decisions on worker safety, researchers have developed the Prevention through Design (PtD) concept to proactively eliminate safety hazards in the workplace. In response, CBE researchers, Hyun Woo “Chris” Lee, PD Koon Endowed Associate Professor in Construction Management and Dr. Laura Osburn, Senior Research Scientist in Construction Management,…
Julie Kriegh, researcher with the Carbon Leadership Forum and other CBE research centers, and owner of Kriegh Architecture Studios, collaborated with other CBE faculty and external partners to lead a UW CBE studio course in collaboration with Google that developed and delivered a design proposal for a sustainable data center. CBE collaborators included Hyun Woo “Chris” Lee, P.D. Koon Professorship in Construction Management; Jan Whittington, Associate Professor of the Department of Urban Design and Planning, and Director of the Urban…
This winter quarter the College of Built Environments launched its new CBE Inspire Fund. Designed to support CBE research activities for which a relatively small amount of support can be transformative, in mid-February the college awarded the first 6 grants. Projects supported by the CBE Inspire Fund hail from 4 departments within the college and tackling topics such as food systems, mapping cultural spaces, and energy justice. The CBE Inspire Fund is the first research funding opportunity offered by the…
The SHARE Lab (Safety and Health Advancement through Research and Education) has produced two ergonomics best practice booklets and two training videos on the use of 4-wheel carts in the roofing trade. Housed in the Department of Construction Management, the mission of the SHARE Lab is to promote construction safety and health through evidence-based innovative research, education, and practices. For more information, please contact Contact Dr. Ken-Yu Lin, Associate Professor, if you’d like access to the guide book or the…
The Energy and Sustainability in Construction (ESC) Lab promotes energy efficiency and sustainability (EES) in the built environment through the development of sustainable design, innovative project delivery practices, and risk-based financial models for EES investments. Our work focuses on integrating advanced financial analysis, project development, and management strategies to enhance the delivery of energy-efficient buildings and sustainable infrastructure.
Through innovative solutions, the ESC Lab addresses complex challenges in current project development practices that slow the transition toward a more sustainable society. Our research spans a wide range of critical areas, including commercial energy retrofits, community solar projects, green datacenters, healthy commercial buildings, and electric vehicle (EV) charging infrastructure. By tackling these pressing issues, the ESC Lab is at the forefront of driving transformative changes in the built environment.
Financial and Management Questions that Lead to Sustainable Solutions
The ESC Lab targets to help project stakeholders evaluate the risks and rewards of energy efficiency and sustainability (EES) investments by addressing some of the industry’s most pressing financial and management challenges, including:
- What policies, financing mechanisms, and project delivery systems best support the advancement of EES?
- How can we categorize and accurately model the unique risks associated with EES investments?
- What analytical modeling methods can be applied to ensure the effective implementation of EES measures in projects?
- How can we optimize investment strategies to balance environmental benefits with financial returns?
- What best practices can enhance stakeholder engagement and collaboration to drive successful EES project outcomes?
Pursuing Innovative Solutions to Energy Efficiency and Sustainability
The ESC Lab has developed a series of analytical models and evaluation practices that facilitate the effective delivery of energy-efficient commercial buildings and sustainable infrastructure, including:
- Cost and power demand model for electric vehicle (EV) charging infrastructure
- Conceptual cost and carbon estimating model for mass timber structure
- Energy-Related Risk Management in Integrated Project Delivery
- Phased Investment for Energy Retrofit (PIER)
- Energy Retrofit Loan Analysis Model (ERLAM)
- An optimized portfolio analysis for community-based photovoltaic investment
ESC Research Funders and Selected Projects:
- UW Clean Energy Institute: “Equitable Public Electric Vehicle Charging Infrastructure Expansion—From the Tribal Community Perspective”
- King County Metro–Sound Transit–Seattle City Light: “Electrified Mobility Hubs: A Blueprint for the Future of Transit Infrastructure”
- UW Global Innovation Fund: “Mitigating Effects of Future Pandemics with the Use of Risk-Responsive Building Codes: A Developing Country Framework”
- King County Metro: “Evaluation of a Public/Private Partnership (P3) Model for Bus Base Electrification”
- UW CBE INSPIRE Fund: “Investigating the Health Requirements and Risk-Responsiveness Criteria in Office Building Codes for Mitigating COVID-19 and Future Airborne Diseases”
- UW CBE INSPIRE Fund: “Investigating Energy Justice in Washington State in Terms of Photovoltaic (PV) Systems and Electric Vehicle (EV) Chargers”
- Google: “A Proposal to Grow a Greener Data Center with Google”
- UW Population Health: “Economic Impact of Office Workplace Transformation due to COVID-19: How Can Buildings and Surrounding Areas Recover?”
- UW Transportation: “UW Transportation Electrification and Solar Study”
- RERI–LBNL–DOE: “Effect of Energy Benchmarking and Disclosure on Office Building Marketability”
- Pankow–Skanska–Oregon DEQ: “Life Cycle Assessment (LCA) for Low Carbon Construction Commercial Office Building MEP & Interiors Data”
- BE Innovation: “Impact of Energy Benchmarking and Disclosure on the Performance of Office Buildings”
Selected Journal Publications:
- Min, Y. and Lee, H.W. (2024). “Adoption Inequalities and Causal Relationship between Residential Electric Vehicle Chargers and Heat Pumps.” ASCE Journal of Construction Engineering and Management, 04024025.
- Min, Y. and Lee, H.W. (2024). “Quantifying Clean Energy Justice: Impact of Solarize Programs on Rooftop Solar Disparities in the Pacific Northwest.” Sustainable Cities and Society, 105287.
- Shang, L., Dermisi, S., Choe, Y., Lee, H.W., and Min, Y. (2023). “Assessing the Office Building Marketability Before and After the Implementation of Energy Benchmarking and Disclosure Policies – Lessons Learned from Major US Cities.” Sustainability, 15(11), 8883.
- Min, Y. and Lee, H.W. (2023). “Characterization of Vulnerable Communities in Terms of the Benefits and Burdens of the Energy Transition in Pacific Northwest Cities.” Journal of Cleaner Production, 135949.
- Min, Y., Lee, H.W., and Hurvitz, P.M. (2023). “Clean Energy Justice: Different Adoption Characteristics of Underserved Communities in Rooftop Solar and Electric Vehicle Chargers in Seattle.” Energy Research and Social Science, 96(1), 102931.
- Su, S., Li, X., Zhu, C., Lu, Y., and Lee, H.W. (2021). “Dynamic Life Cycle Assessment: A Review of Research for Temporal Variations in Life Cycle Assessment Studies.” Environmental Engineering Science, 38(11).
- Droguett, B. X. R., Huang, M., Lee, H.W., Simonen, K., and Ditto, J. (2020). “Mechanical, Electrical, Plumbing and Tenant Improvements Over the Building Lifetime: Estimating Material Quantities and Embodied Carbon for Climate Change Mitigation.” Energy and Buildings, 226, 110324.
- Ho, C., Lee, H.W., and Gambatese, J. (2020). “Application of Prevention through Design (PtD) to Improve the Safety of Solar Installations on Small Buildings.” Safety Science, 125, 104633.
- Gomez Cunya, L.A., Fardhosseini, M.S., Lee, H.W., and Choi, K. (2020). “Analyzing Investments in Flood Protection Structures: A Real Options Approach.” International Journal of Disaster Risk Reduction, 43(2), 101377.
- Shang, L., Lee H.W., Dermisi, S., and Choe, Y., (2020). “Impact of Energy Benchmarking and Disclosure Policy on Office Buildings.” Journal of Cleaner Production, 250, 119500.
- Shakouri, M., Lee, H.W., and Kim, Y.-W. (2017). “A Probabilistic Portfolio-based Model for Financial Valuation of Community Solar.” Applied Energy, 191(1), 709-726.
- Shakouri, M. and Lee, H.W. (2016). “Mean-Variance Portfolio Analysis Data for Optimizing Community-based Photovoltaic Investment.” Data in Brief, 6(1), 840-842.\
Current and Former Lab Members:
- Abdul-Razak Alidu
- Byungju Jeon
- Chitika Vasudeva
- Yohan Min
- Matt Wiggins
- Novi T.I. Bramono
- Yong-Hyuk Oh
- Chuou Zhang
- Jonghyeob Kim
- Wenqi Zhu
- Julie Knorr
- Zhila Mohammady