Browsing by Author "Paige, Frederick"

Now showing 1 - 17 of 17
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    An Aggregate Measure of Bicycle Commuting and its Relationship with Heart Disease Prevalence in the United States
    Todoroff, Emma Coleman (Virginia Tech, 2021-11-19)
    United States bicycle commuting rates are low compared to similarly developed countries like the Netherlands and Denmark. However, bicycle commuting shows promise for positive health outcomes, especially those related to chronic diseases like obesity, diabetes, and heart disease. Little research has been conducted in the U.S. to study the association between bicycle commuting and heart disease. Furthermore, U.S. cities need guidance on how to increase bicycle commuting rates. The purpose of this study was to evaluate the association between U.S. bicycle commuting rates and heart disease prevalence and to identify infrastructure and policy factors most significantly associated with bicycle commuting rates in large U.S. cities. This research quantitatively defined infrastructure and policy factors and analyzed ecologic associations across the 50 most populous U.S. cities. The results of this study are based on an ecologic analysis that evaluated associations at the census tract and city levels. Secondary data from nine sources as used to conduct the analysis. Data sources include the League of American Bicyclists Benchmarking Report, PeopleForBikes bicycle network analysis, the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System, the U.S. Census Bureau American Community Survey, and more. A principal components analysis was conducted to identify relevant infrastructure factors for research question one; ordinary least squares regression models were derived to compare associations between infrastructure and policy factors for research question two, and latent class cluster analysis was conducted to calculate the prevalence odds ratios of the association between bicycle commuting rate and heart disease for research question three. Three factors accounted for 70% of the variation in bicycle commuting rates. Those three factors include the average number of cyclist fatalities, the number of city employees working on bicycle projects, and bicycle network connections to public transit. The results also show that the association between bicycle commuting rate and heart disease prevalence was only statistically significant in census tract populations with predominantly high socioeconomic status, low health risk factors, and white race. The ecologic study design likely masked any positive health outcomes in populations with low socioeconomic status. The findings of this study provide valuable insights for transportation and public health practitioners, and the conclusions set the stage for future research on cycling and chronic disease outcomes in the United States.
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    Comparisons of Design Thinking for Engineering Education
    Coleman, Emma Elizabeth (Virginia Tech, 2018-11-16)
    Design thinking ability is vital for engineers who are tasked with solving society's toughest sustainable development challenges. Prior research identified that the percentage of design thinkers among freshmen engineering students is greater than the percentage among the general population. However, engineering education's lack of attention to fostering creative ability may cause the design thinking ability of senior engineering students to suffer. The research addressed in this thesis compares the design thinking ability of engineering students across age groups, and compares design thinking ability between the design disciplines of engineering and architecture. To draw design thinking comparisons between these groups, a survey with a nine item design thinking instrument was distributed nationally to freshmen engineering students (n= 2,158), senior engineering students (n= 1,893), and senior architecture students (n= 336). The survey instrument was validated by conducting confirmatory factor analysis on the senior engineering and senior architecture samples' data. The Analysis of Variance (ANOVA) test was utilized to statistically compare scores across sample groups. Both the freshmen engineering students (2.80) and senior architecture students (3.30) scored significantly higher on the design thinking scale than senior engineering students (2.59). These results have important implications for engineering educators as engineering education may contribute to a decrease in design thinking among senior engineering students. A lower design thinking score among seniors was consistent across all engineering sub-disciplines and should be of concern to engineering educators, since design thinking skills are critical for the development of engineering solutions to grand societal challenges.
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    The Ecological Footprints of Tiny Home Downsizers: An Exploratory Study
    Saxton, Maria Wimberly (Virginia Tech, 2019-04-26)
    With our country's unsustainable building practices in the residential sector, there is a need to explore new types of housing to mitigate the negative environmental impacts of current building customs. Recently, there has been a surge of interest in tiny homes characterized as livable dwelling units typically under 400 square feet. However, there is a gap in scholarly knowledge that formally examines how the environmental impact and behaviors of tiny home occupants change after downsizing from a larger home. The purpose of this study was to provide measurable evidence to explore the relationship between downsizing to a tiny home and the corresponding environmental impact. This study, which employed an exploratory sequential mixed design approach, was conducted to measure the ecological footprints of tiny home downsizers. Eighty individuals who have lived in their tiny homes for at least a year volunteered to take an online survey used to calculate their ecological footprints in prior larger homes and current tiny homes. Following the survey, nine interviews were conducted to create an inventory of noteworthy behaviors in each participant's lifestyles that potentially influence ecological footprint changes. Data collected from the survey and interviews were analyzed separately and then comparatively to explore relationships between tiny home living and environmental impacts. This study found that among 80 tiny home downsizers located across the United States, the average ecological footprint was 3.9 global hectares (gha). This footprint was substantially less than the average previous ecological footprint of 7.0 gha and the national average of 8.4 gha. All five footprint components were positively influenced, showing that downsizing can influence many parts of one's lifestyle. Over 100 behaviors were identified that could contribute to ecological footprint changes. The overall insights derived from this study indicate that positive environmental impact behaviors outweigh negative ones by approximately six to one when downsizing to a tiny home. In addition, 100% of participants demonstrated an overall positive ecological footprint. The findings and conclusions of this study provide important insights for the sustainable housing industry that can inform policy and practice, with implications for future research in the sustainable residential field.
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    flEECe, an energy use and occupant behavior dataset for net-zero energy affordable senior residential buildings
    Paige, Frederick; Agee, Philip; Jazizadeh, Farrokh (Nature, 2019-11-26)
    The behaviors of building occupants have continued to perplex scholars for years in our attempts to develop models for energy efficient housing. Building simulations, project delivery approaches, policies, and more have fell short of their optimistic goals due to the complexity of human behavior. As a part of a multiphase longitudinal affordable housing study, this dataset represents energy and occupant behavior attributes for 6 affordable housing units over nine months in Virginia, USA which are not performing to the net-zero energy standard they were designed for. This dataset provides researchers the ability to analyze the following variables: energy performance, occupant behaviors, energy literacy, and ecological perceptions. Energy data is provided at a 1 Hz sampling rate for four circuits: main, hot water heater, dryer, and HVAC. Building specifications, occupancy, weather data, and neighboring building energy use data are provided to add depth to the dataset. This dataset can be used to update building energy use models, predictive maintenance, policy frameworks, construction risk models, economic models, and more.
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    Hip Hop @ VT
    Fralin, Scott; Foutch, Mallory; Arthur, Craig E.; Harrison, Anthony Kwame; Paige, Frederick; Luu, Eric; Downing, Juel (Virginia Tech, 2018-08-20)
    This exhibit is a broad overview of Hip Hop at Virginia Tech. It includes materials from classes taught on Hip Hop, showcases the work of the VT Digging in the Crates team, examples of the type of art that has been generated by the VTDITC team, and provides points of contact for student groups related to Hip Hop on campus. Exhibit also contained an interactive component with a soundbooth where, during specific hours, visitors were able to record their own stories about how Hip Hop has made a difference in their lives and upload them to Storycorps 2018/08/20 - 2018/11/18
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    Intersections: Privilege
    Iorio, Josh; Faulkner, Brandy S.; Paige, Frederick; Copper, Cathryn (Virginia Tech. University Libraries, 2018-10-10)
    How does gender, race, and class privilege inform the design and construction of the built environment? Panelists will discuss how gender-related language norms, race-related structures of power in the workplace, and occupancy of sustainable infrastructures in the housing industry impact the built environment. Should we as a society demand more equity from the individuals that create the built world?
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    Keeping Our Heads above Water: An Exploratory Study on the Equity Opportunities of Coastal Virginia Wireless Emergency Alerts
    Grinton, Wendell; Paige, Frederick (MDPI, 2022-05-08)
    Economically disadvantaged coastal communities face severe damage and casualties, which can be attributed to storm surges. Excessive amounts of inundation should be considered to a similar level to wind speeds and heavy rains that communities commonly prepare for amidst a hurricane event. Marginalized residents, such as residents of color, disabled residents, elderly residents, and residents occupying low-income housing, suffer from storm surge events. Coastal resiliency plans are bottlenecked by factors, such as residential stability, ability to relocate, and insurance coverage, all of which are inequitably constrained for marginalized communities. This exploratory study reviews the previous literature on wireless emergency alert (WEA) equity critiques and spatial analysis of the WEAs sent to coastal Virginia communities. Two research questions are explored in this paper: (1) How does the previous literature critique equity in wireless emergency alerts? (2) How many households are below the poverty line in areas where storm surge warnings have been sent? To improve the utilization of WEAs for the protection of low-income community members, there is evidence to support the increase in the frequency of message delivery and improving the call-to-action text. This paper sets the stage for future policy analyses and message design experimentation on emergency communication in coastal regions.
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    A Macroergonomics Path to Human-centered, Adaptive Buildings
    Agee, Philip (Virginia Tech, 2019-09-26)
    Human-building relationships impact everyone in industrialized society. We spend approximately 90% of our lives in the built environment. Buildings have a large impact on the environment; consuming 20% of worldwide energy (40% of U.S. energy) annually. Buildings are complex systems, yet architecture, engineering, and construction (AEC) professionals often perform their work without considering the human factors that affect the operational performance of the building system. The AEC industry currently employs a linear design and delivery approach, lacking verified performance standards and real-time feedback once a certificate of occupancy is issued. We rely on static monthly utility bills that lag and mask occupant behavior. We rely on lawsuits and anecdotal business development trends as our feedback mechanisms for the evaluation of a complex, system-based product. The omission of human factors in the design and delivery of high performance building systems creates risk for the AEC industry. Neglecting an iterative, human-centered design approach inhibits our ability to relinquish the building industry's position as the top energy consuming sector. Therefore, this research aims to explore, identify, and propose optimizations to critical human-building relationships in the multifamily housing system. This work is grounded in Sociotechnical Systems theory (STS). STS provides the most appropriate theoretical construct for this work because 1) human-building interactions (HBI) are fundamentally, human-technology interactions, 2) understanding HBI will improve total system performance, and 3) the interrelationships among human-building subsystems and the potential for interventions to effect the dynamics of the system are not currently well understood. STS was developed in the 1940's as a result of work system design changes with coal mining in the United Kingdom. STS consists of four subsystems and provides a theoretical framework to approach the joint optimization of complex social and technical problems. In the context of this work, multidisciplinary approaches were leveraged from human factors engineering and building construction to explore relationships among the four STS subsystems. An exploratory case study transformed the work from theoretical construct toward an applied STS model. Data are gathered from each STS subsystem using a mixed-methods research design. Methods include Systematic Review (SR), a descriptive case study of zero energy housing, and the Macroergonomics Analysis and Design (MEAD) of three builder-developers. This work contributes to bridging the bodies of knowledge between human factors engineering and the AEC industry. An output of this work is a framework and work system recommendations to produce human-centered, adaptive buildings. This work specifically examined the system inputs and outputs of multifamily housing in the United States. The findings are supportive of existing scientific society, government, and industry standards and goals. Relevant standards and goals include the Human Factors and Ergonomics Society (HFES) Macroergonomics and Environmental Design Technical Groups, International Energy Agency's Energy in Buildings ANNEX 79 Occupant Behavior-Centric Building Design and Operation, the U.S. Department of Energy's Building America Research to Market Plan and zero energy building goals of the American Society of Heating Refrigeration and Air-Conditioning Engineers (ASHRAE).
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    Neighborhood historical redlining, present-day social vulnerability and sports and recreational injury hospitalizations in the United States
    Ogunmayowa, Oluwatosin Thompson (Virginia Tech, 2023-07-14)
    Historical redlining, a discriminatory practice of the 1930s, present-day social vulnerability (SVI), and sports and recreational injury (SRI) hospitalizations are interconnected topics that highlight the intersection of race, class, and health in the United States but the relationships have not been studied to date. Thus, the overall aim of this dissertation is to examine the effects of historical redlining and present-day social vulnerability on SRI hospitalizations in the United States. The first study systematically reviewed studies that examined the relationships between neighborhood characteristics and SRI using multilevel modeling approach. Studies reviewed show that certain neighborhood factors, such as living in urban communities, were associated with increased risk of SRI. The second study examined the association between historical redlining and present-day neighborhood SVI in the United States. Results show that formerly redlined areas have higher SVI presently. The third study examined the association between historical redlining and present-day SRI hospitalization in the United States. Results show that redlining was not associated with increased odds of SRI hospitalizations, but was associated with longer length of hospital stay (LOS) among Black and Hispanic patients, and higher total hospital charges among Hispanic patients. The fourth study examined the association between individual and neighborhood social vulnerability and sports and recreation-related traumatic brain injury (SR-TBI) hospitalizations among pediatric patients in the United States. Results show that Native American children had higher odds of hospitalization for SR-TBI, longer LOS, but lower odds of discharge to post-acute care compared to White children. Older age was associated with higher odds of hospitalization and longer LOS while male sex was associated with shorter LOS for SR-TBI in children. Compared to children with private insurance, children with public insurance had longer LOS while uninsured children had shorter LOS. Also, hospitalization in neighborhood with higher overall SVI was associated with longer LOS. This study advances our knowledge on the impact of structural racism on present-day SRI outcomes and will inform policy makers to prioritize health equity by addressing the underlying social determinants of health and the root causes of disparities in SRI outcomes.
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    Open Education Forum 2020: Connecting the Opens: Open Access, Open Education & More
    DePauw, Karen P.; Thompson, Tyechia; Paige, Frederick; Ellingson, Steven W.; Potter, Peter J.; Walz, Anita R.; Young, Philip (Virginia Tech. University Libraries, 2020-03-02)
    Join faculty presenters from around the university, University Library faculty, and the Future Professoriate Graduate class in a robust discussion about nuances, similarities and differences in the "opens." Learn about open access (OA) trends in the U.S., Europe, and at Virginia Tech. Learn about the differences between open access and open educational resources (OER). Presenters and panelists include Karen DePauw (Dean, Graduate School), Tyechia Thompson (Center for Humanities), Freddy Paige (Civil and Environmental Engineering), Steven Ellingson (Electrical and Computer Engineering), Peter Potter, Anita Walz, and Philip Young (University Libraries).
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    Preference Construction and Decision-Making for Green Infrastructure: How Do Behavioral Interventions Influence Choice and Neurocognition?
    Hu, Mo (Virginia Tech, 2021-11-30)
    "Nature-based solutions", such as green stormwater infrastructure, take advantage of natural systems to tackle the increasing challenges facing the built environment. Green infrastructure is effective in reducing stormwater runoff for urban stormwater management using connected green space. Green infrastructure also delivers multiple benefits to the community (e.g., increased quality of life and public health) and environment (e.g., enhanced biodiversity, less energy use, and reduced urban heat island effect), which is adaptive to the changing climate. However, the pace and the scale of green infrastructure implementation are still not on track with the much-needed change in the urban built environment. Policy barriers, resources barriers, governance barriers, and cognitive barriers are limiting the practice. Cognitive barriers are cited as the most critical barrier because most of the barriers limiting green infrastructure stem from and are intensified by human cognition during the design and decision-making process for infrastructure. Stakeholders involved in the decision-making process for green infrastructure must weigh the perceived risks and benefits that green infrastructure provides. This dissertation aims to better understand how stakeholders perceive green infrastructure, how much they weigh risks and benefits, and test interventions to aid the decision-making process to promote more green infrastructure design. Both a stated preference survey with discrete choice modeling and two sets of experiments using neuroimaging to measure the change in neurocognition were used to explore preference construction and decision-making about green infrastructure. A sample of the public (N=946) across the U.S. participated in the survey and reported their perceptions of risk and benefit about green infrastructure. The result highlights that perceived higher risk of green infrastructure reduced people's preference for green infrastructure. In contrast, perceived higher benefit, age, education, and the use of a rating system to measure sustainability outcomes firstly contribute to people's preference construction for green infrastructure. Engineering students who were trained in stormwater infrastructure design (N=60) participated in a stormwater infrastructure design scenario. Change in students' neurocognition was measured when students made judgments and decisions between a green infrastructure design option and a conventional stormwater infrastructure design option. Two interventions, (1) telling students about a municipal resolution in support of green infrastructure and (2) priming students to think about sustainable design before evaluating design options, were tested to change perceptions about risk and benefit of stormwater design options. The results found that telling decision-makers about a green infrastructure resolution changed their neurocognition when processing perceived risk and reduced the perceived risk they associated with green infrastructure. The results also found that priming decision-makers to think about sustainable design with a rating system for sustainability significantly decreased their cognitive load when evaluating the benefits of green infrastructure and increased their stated benefits associated with green infrastructure. These findings demonstrate the effects of relatively simple choice modifications to promote more green infrastructure. The results provide insights for policy-makers, engineers, and other stakeholders involved in the early-phase decisions on effective practice to modify human choice when facing challenges with sustainable and resilient design.
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    Quarry Workers' Hazard Identification, Severity Interpretation, and Prevention Strategies
    Bae, Hwangbo (Virginia Tech, 2019-08-29)
    The surface-mining worker fatalities are unacceptably high as compared to other private industries in United States such as construction, manufacturing, agriculture, forestry, fishing and hunting. Although many studies about generating a safe work environment and developing safety training through intervention modules have tried to reduce the number of worker fatalities by utilizing an administrative approach to the development of safety controls, a rigorous study about understanding craftworkers' perceptions of a safe work environment is lacking. This study particularly investigated quarry workers' safety behaviors regarding work hazards by adapting findings from construction safety research because construction and mining industries have similarities in work hazards and environment. Despite their similarities, the work fatality rate in the mining industry is greater than in the construction industry (BLS, 2018). To gain a greater understanding of how quarry workers identify and interpret work hazards and employ strategies to prevent accidents, this study explored quarry workers' perceptions of work hazards (i.e., hazard identification, severity interpretation) and their preventive strategies to develop a safer working environment at the workplace. To accomplish this, a single descriptive case study was conducted with multiple sources of data such as interviews with photo elicitation, field notes, site photographs, and precursory meeting with safety managers. These sources of data were used to investigate quarry workers' identification and interpretation skills and utilization of preventive strategies. This study will contribute to improve safety of workers by incorporating workers' perceptions of work hazards and by exploring their experience to the development of safety training.
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    Real-Time Processing and Visualization of High-Volume Smart Infrastructure Data Using Open-Source Technologies
    Vipond, Natasha M. (Virginia Tech, 2022-06-21)
    Smart infrastructure has become increasingly prevalent in recent decades due to the emergence of sophisticated and affordable sensing technologies. As sensors are deployed more widely and higher sampling rates are feasible, managing the massive scale of real-time data collected by these systems has become fundamental to providing relevant and timely information to decision-makers. To address this task, a novel open-source framework has been developed to manage and intuitively present high-volume data in near real-time. This design is centered around the goals of making data accessible, supporting decision-making, and providing flexibility to modify and reuse this framework in the future. In this work, the framework is tailored to vibration-based structural health monitoring, which can be used in near real-time to screen building condition. To promote timely intervention, distributed computing technologies are employed to accelerate the processing, storage, and visualization of data. Vibration data is processed in parallel using a publish-subscribe messaging queue and then inserted into a NoSQL database that stores heterogeneous data across several nodes. A REST-based web application allows interaction with this stored data via customizable visualization interfaces. To illustrate the utility of this framework design, it has been implemented to support a frequency domain monitoring dashboard for a 5-story classroom building instrumented with 224 accelerometers. A simulated scenario is presented to capture how the dashboard can aid decisions about occupant safety and structural maintenance.
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    User Experience of Green Building Certification Resources: EarthCraft Multifamily
    Jefferson, Dwayne; Paige, Frederick; Agee, Philip; Jackson, France (MDPI, 2021-07-14)
    To improve the construction industry’s capacity to deliver sustainable infrastructure, guidance on delivering green building systems needs to be more usable. Green buildings have certifications and ratings in place that ensure that projects are environmentally responsible and meet standards in resource efficiency. EarthCraft Multifamily (ECMF), an evolving green building certification, has been successful in increasing the delivery of energy-efficient affordable housing, and this study leverages user experience (UX) methodologies to understand how to further improve ECMF and replicate its success. This study identifies the impact ECMF tools and resources, such as the program manual, worksheet, and technical guidelines, have on enhancing project delivery for architects. This study conducted data analysis on project specifications, heuristic evaluation data, and stakeholder interview data. As the strengths and weaknesses of ECMF were identified, knowledge on the usability of the green building certification program was unveiled. Heuristic evaluations data show that accessibility and usability issues are present in ECMF resources. Interview data show that architects’ experiences with ECMF resources were affected by some of the usability issues identified in the heuristic evaluation data. Coded interview transcripts show the most prominent participant-identified improvements represented within the data. Resources need appropriate visual representation such as readability and hierarchy to improve their usability. Understanding how ECMF resources are utilized during project delivery allows for the appropriate content and options to be strategically framed to improve accessibility and enhance user decision making. ECMF resources can allow for the inclusion of a broader set of stakeholders by lowering the level of expertise required for sustainable infrastructure delivery.
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    Using Learning Analytics and Student Perceptions to Explore Student Interactions in an Online Construction Management Course
    West, Paige; Paige, Frederick; Lee, Walter C.; Watts, Natasha; Scales, Glenda R. (ASCE, 2022-10)
    The expansion of online learning in higher education has both contributed to researchers exploring innovative ways to develop learning environments and created challenges in identifying student interactions with course material. Learning analytics is an emerging field that can identify student interactions and help make data-informed course design decisions. In this case study, learning analytics were collected from 113 students in three course sections of an online construction management course in the Canvas learning management system (LMS). Surveys were used to collect students’ perceptions of the course design and materials to correlate with the students’ interactions with the course materials. The survey findings showed the students found watching the lecture videos and reading the lecture slides to be the most helpful aspects of the course materials in their learning. Findings from the learning analytics showed that students’ interactions with the course decreased after the midterm exam. Based on the results, online course instructors can leverage their learning analytics to understand student interactions and make data-informed course design changes to improve their online learning environments.
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    VTDITC: Hip Hop Studies at Virginia Tech and COVID-19
    Weiss, Jasmine (2021)
    VTDITC: Hip Hop Studies at Virginia Tech has a heavy focus on community-based learning, we make sure to support our communities’ interest in Hip Hop, and facilitate spaces where people can recognize Hip Hop as a scholarly practice. We have a variety of programs we offer including a monthly seminar, weekly studio hours, media literacy workshops, and live DJ mixes. COVID-19 emerged across the United States around March 2020 and directly impacted everyone's life in various ways. VTDITC programing has had to adjust because of our country’s new norms.