Kim, Sang-Chul; Kim, Yong-Woo. (2014). Computerized Integrated Project Management System for a Material Pull Strategy. Journal Of Civil Engineering And Management, 20(6), 849 – 863.
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Abstract
The purpose of this paper is to present a computerized integrated project management system and report results of a survey on the effectiveness of the system. The system consists of a scheduling system, material management system, labor/equipment system, and safety/quality control system. The backbone system is a scheduling system that adopts a production planning system and a project scheduling system. The lowest level in the scheduling system is a daily work management system, which is linked to each functional management system (i.e. material management system, labor/equipment system, and safety/quality control system). The paper focuses on the material management and scheduling systems to implement a material pull system to reduce material inventories on site. Details of material management and scheduling systems are discussed, and a sample application is presented to demonstrate the features of the proposed computer application system. The paper presents practitioners and researchers with a practical tool to integrate material management and scheduling systems for site personnel.
Keywords
Construction; Lean Construction; Material Management System; Integrated System; Daily Work Management
Inanici, Mehlika; Hashemloo, Alireza. (2017). An Investigation of the Daylighting Simulation Techniques and Sky Modeling Practices for Occupant Centric Evaluations. Building And Environment, 113, 220 – 231.
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Abstract
Occupant centric performance approaches in daylighting studies promote design decisions that support human visual comfort, productivity, and visual preferences, along with more conventional energy efficiency criteria. Simulating per-pixel luminance values and luminance distribution patterns for the entire scene allows us to analyze the occupant centric metrics and performance criteria. However, there are a number of different sky models, complex fenestration models, and simulation techniques that produce either conventional point in time images or annual luminance maps. This paper discusses the similarities and differences between different techniques; and a comparison analyses provides insight about their impact on occupant centric lighting measures. The comparisons for sky modeling include the conventional CIE skies (Clear, Intermediate, and Overcast), measurement based CIE models, Perez all-weather skies, and high dynamic range image based skies. The comparison of simulation techniques include point in time simulations, image based lighting simulations, and annual luminance simulations (threephase and five-phase methods). Results demonstrate that measurement based sky models match real world conditions with reasonable proximity, and generic CIE skies consistently underestimate the indoor lighting conditions. Annual simulation methods provide a large database of temporal luminance variations, where individual instances are comparable to point in time simulations. Long term luminance simulations provide opportunities to evaluate the percentage of the year that a given luminance based criteria is met or violated. (C)2016 Elsevier Ltd. All rights reserved.
Keywords
Complex Fenestration Systems; Scattering Distribution-functions; Discomfort Glare; Visual Comfort; Daylit Spaces; Validation; Radiance; Performance; Offices; Design; Sky Models; Daylight Simulations; Point In Time Simulations; Image Based Lighting; Annual Lighting Simulations; Annual Luminance Maps
Wentz, Elizabeth A.; York, Abigail M.; Alberti, Marina; Conrow, Lindsey; Fischer, Heather; Inostroza, Luis; Jantz, Claire; Pickett, Steward T. A.; Seto, Karen C.; Taubenboeck, Hannes. (2018). Six Fundamental Aspects for Conceptualizing Multidimensional Urban Form: A Spatial Mapping Perspective. Landscape And Urban Planning, 179, 55 – 62.
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Abstract
Urbanization is currently one of the most profound transformations taking place across the globe influencing the flows of people, energy, and matter. The urban form influences and is influenced by these flows and is therefore critical in understanding and how urban areas affect and are affected by form. Nevertheless, there is a lack of uniformity in how urban form is analyzed. Urban form analyzed from a continuum of a simple urban versus non-urban classification to highly detailed representations of land use and land cover. Either end of the representation spectrum limits the ability to analyze within-urban dynamics, to make cross-city comparisons, and to produce generalizable results. In the framework of remote sensing and geospatial analysis, we identify and define six fundamental aspects of urban form, which are organized within three overarching components. Materials, or the physical elements of the urban landscape, consists of three aspects (1) human constructed elements, (2) the soil-plant continuum, and (3) water elements. The second component is configuration, which includes the (4) two- and three-dimensional space and (5) spatial pattern of urban areas. Lastly, because of the dynamics of human activities and biophysical processes, an important final component is the change of urban form over (6) time. We discuss how a this urban form framework integrates into a broader discussion of urbanization.
Keywords
Ecosystem Services; Land-use; Reconceptualizing Land; Cellular-automata; Heterogeneity; Framework; Model; Emissions; Dynamics; Cities; Gis; Remote Sensing; Land Use; Land Cover; Urban Form; Urban Materials; Energy; Humans; Land Use And Land Cover Maps; Landscapes; Urban Areas; Urbanization
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
Shen, Qing; Wang, Yiyuan; Gifford, Casey. (2021). Exploring Partnership Between Transit Agency And Shared Mobility Company: An Incentive Program For App-based Carpooling. Transportation, 48(5), 2585 – 2603.
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Abstract
How should public transit agencies deliver mobility services in the era of shared mobility? Previous literature recommends that transit agencies actively build partnerships with mobility service companies from the private sector, yet public transit agencies are still in search of a solid empirical basis to help envision the consequences of doing so. This paper presents an effort to fill this gap by studying a recent experiment of shared mobility public-private partnership, the carpool incentive fund program launched by King County Metro in the Seattle region. This program offers monetary incentives for participants who commute using a dynamic app-based carpooling service. Through descriptive analysis and a series of logistic regression models, we find that the monetary incentive to encourage the use of app-based carpooling generates some promising outcomes while having distinctive limitations. In particular, it facilitates the growth of carpooling by making carpooling a competitive commuting option for long-distance commuters. Moreover, our evidence suggests that the newly generated carpooling trips mostly substitute single-occupancy vehicles, thus contributing to a reduction of regional VMT. The empirical results of this research will not only help King County Metro devise its future policies but also highlight an appealing alternative for other transit agencies in designing an integrated urban transportation system in the era of shared mobility.
Keywords
Shared Mobility; Public-Private Partnership; App-based Carpooling; Incentive Fund; Transit Agencies; Incentives; Commuting; Public Transportation; Mobility; Regression Analysis; Regression Models; Partnerships; Vehicles; Car Pools; Private Sector; Occupancy; Transportation Systems; Mass Transit; Transportation Planning; Empirical Analysis; Urban Transportation
My research interests focus on the contemporary problems of integrated architecture, engineering, and construction practices, particularly the communication processes and team workflows that support them. This work is at the intersection of AEC and the sociological and organizational theories that help identify and analyze the activities within professional practice collaboration. I am using qualitative studies to build theory and practice models for Lean Construction, sustainable design and construction, and integration across design, construction, and facility management. I am also working with technological constructs like BIM and COBie that form foundations for new kinds of collaboration.
I am a licensed architect, and have been a long-time educator in architecture and construction. I have taught design and construction studios, building detailing and assemblages, and architectural theory, and have been recognized institutionally and nationally for teaching excellence. My instructional research is focused on studio-based learning and design thinking.
The Cyber-BE Lab integrates the latest in academic research on policy, communication, and organization with industry expertise on IoT security, risk mitigation and building operations. Cyber-BE offers a holistic understanding of IoT in the built environment. We support the organizational, communication, and policy innovations that will help minimize IoT risk through:
- Advancing social scientific research to better understand and apply smart technology in the built environment
- Delivering usable guidance and tools to address the policy, organizational, and communication challenges that industry practitioners face
- Building a community of practice of IoT security practitioners and researchers
The lab leads include Laura Osburn, Senior Research Scientist at the Department of Construction Management, Jessica Beyer, Lecturer and Research Scientist at the Jackson School of International Studies, and Chuck Benson, Director of IoT Risk Mitigation Strategy at the University of Washington.
The Pacific Northwest Transportation Consortium (PacTrans) announced in January 2021 the project proposals selected for funding. Qing Shen, Professor of Urban Design and Planning and Chair of the Interdisciplinary PhD Program in Urban Design and Planning is among those selected for project funding. Shen is working alongside Co-Principal Investigator Catherine (Casey) Gifford–Innovative Mobility Senior Planner–on the applied research project titled “Supplementing fixed-route transit with dynamic shared mobility services: a marginal cost comparison approach”. The project goal is to address a…
Sensol Systems, a startup founded in 2020 by Janie Bube–a recent UW Masters of Landscape Architecture graduate–along with other students at University of Washington, was recently awarded a National Science Foundation (NSF) award to participate in the I-Corps program. This NSF program uses experiential education to help researchers gain valuable insight into entrepreneurship, starting a business or industry requirements and challenges. The curriculum integrates scientific inquiry and industrial discovery in an inclusive, data-driven culture driven by rigor, relevance, and evidence….
On February 9, Lever for Change announced that the College of Built Environment’s Carbon Leadership Forum (CLF) and four other finalist teams will advance to the next stage of the 2030 Climate Challenge, a $10 million award launched last year to reduce greenhouse gas emissions in the U.S. by 2030. The Challenge, sponsored by an anonymous donor, will fund proven, data-driven solutions tackling greenhouse gas emissions in the buildings, industry, and/or transportation sectors in communities across the country. Sixty-eight proposals…