VTechWorks Repository :: Browsing by Author "Kim, Mintai"

Browsing by Author "Kim, Mintai"

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The Added Value of Community Engagement in Public Design for Landscape Architecture Professionals
Proctor, Nicholaus (Virginia Tech, 2017-02-09)
This thesis examines three uniquely different community engagement methods that explore the relationship between community values and the physical landscape in two Appalachian communities; Austinville, VA and St. Paul, VA. Each community engagement method is 1) introduced via literature review/case study, 2) modified from the case study to suit local conditions, and 3) analyzed for effectiveness in connecting local values and the physical landscape. I then reflected on this academic research through the lens of a three-year employment as a community development and natural asset planner with a 501(c)3 non-profit in southwest Virginia. The professional experience revealed five community systems that impacted the overall effectiveness of community engagement processes and had the potential to position communities, and their public projects, for a higher level of success. The community systems included: Capacity and Readiness, Involvement, Leadership, Communication, Frame of Reference and Community Vision. Research and professional practice together suggested that an intentional effort to understand and incorporate community values via community engagement ultimately led to more meaningful designs in the public sector.
Analysis and Management of UAV-Captured Images towards Automation of Building Facade Inspections
Chen, Kaiwen (Virginia Tech, 2020-08-27)
Building facades, serving mainly to protect occupants and structural components from natural forces, require periodic inspections for the detection and assessment of building façade anomalies. Over the past years, a growing trend of utilizing camera-equipped drones for periodical building facade inspection has emerged. Building façade anomalies, such as cracks and erosion, can be detected through analyzing drone-captured video, photographs, and infrared images. Such anomalies are known to have an impact on various building performance aspects, e.g., thermal, energy, moisture control issues. Current research efforts mainly focus on the design of drone flight schema for building inspection, 3D building model reconstruction through drone-captured images, and the detection of specific façade anomalies with these images. However, there are several research gaps impeding the improvement of automation level during the processes of building façade inspection with UAV (Unmanned Aerial Vehicle). These gaps are (1) lack effective ways to store multi-type data captured by drones with the connection to the spatial information of building facades, (2) lack high-performance tools for UAV-image analysis for the automated detection of building façade anomalies, and (3) lack a comprehensive management (i.e., storage, retrieval, analysis, and display) of large amounts and multi-media information for cyclic façade inspection. When seeking inspirations from nature, the process of drone-based facade inspection can be compared with caching birds' foraging food through spatial memory, visual sensing, and remarkable memories. This dissertation aims at investigating ways to improve the management of UAV-captured data and the automation level of drone-based façade anomaly inspection with inspirations from caching birds' foraging behavior. Firstly, a 2D spatial model of building façades was created in the geographic information system (GIS) for the registration and storage of UAV-images to assign façade spatial information to each image. Secondly, computational methods like computer vision and deep learning neural networks were applied to develop algorithms for automated extraction of visual features of façade anomalies within UAV-captured images. Thirdly, a GIS-based database was designed for the comprehensive management of heterogeneous inspection data, such as the spatial, multi-spectral, and temporal data. This research will improve the automation level of storage, retrieval, analysis, and documentation of drone-captured images to support façade inspection during a building's service lifecycle. It has promising potential for supporting the decision-making of early-intervention or maintenance strategies to prevent façade failures and improve building performance.
An Art-Light Mosaic Light Distraction for the Pediatric Healthcare Environment
Dutro, Anna R. (Virginia Tech, 2016-12-01)
In his classic book, Experiencing Architecture, Rasmussen (1959) noted that architects inspired by addressing problems in built environments created buildings with a special spirit: a distinctive stamp. Recent problems in healthcare facilities, specifically those related to reducing stress and anxiety, have inspired designers to create positive, uplifting distractions to redirect a patient's attention from a sterile environment and/or noxious event. In doing so, healthcare facilities have become special environments with a caring spirit. This study examined a specific aspect of creating a caring environment: determining whether or not a positive distraction, a child's art-light mosaic movie developed by the researcher, would lower pain and distress in children 4, 5, and 6 years old during an immunization procedure. The researcher conducted a randomized controlled study in two locations using a child's self-report pain scale, heart rate, parent/guardian report, and nurse report measures. After collecting and analyzing data from 76 well-participants receiving one to five immunizations, the researcher found no statistically significant difference between the conditions for any of the measures. Thus, the null hypothesis, the art-light mosaic image would not assist in lowering pain and distress in pediatric patients, 4 to 6 years old, during an immunization procedure, was not rejected. From these results, the researcher recommended future studies incorporate training the parent and child on how to use the distraction, combine the distraction with a topical analgesic, provide a clear understanding of pain and distress from the child's point of view, and develop more sensitive self-report measures of pain for children.
Assessing Working Models' Impact on Land Cover Dynamics through Multi-Agent Based Modeling and Artificial Neural Networks: A Case Study of Roanoke, VA
Nusair, Heba Zaid (Virginia Tech, 2024-05-30)
The transition towards flexible work arrangements, notably work-from-home (WFH) practices, has prompted significant discourse on their potential to reshape urban landscapes. While existing urban growth models (UGM) offer insights into environmental and economic impacts, There is a need to study the urban phenomena from the bottom-up style, considering the essential influence of individuals' behavior and decision-making process at disaggregate and local levels (Brail, 2008, p. 89). Addressing this gap, this study aims to comprehensively understand how evolving work modalities influence the urban form and land use patterns by focusing on socioeconomic and environmental factors. This research employs an Agent-Based Model (ABM) and Artificial Neural Network (ANN), integrated with GIS technologies, to predict the future Land Use and Land Cover (LULC) changes within Roanoke, Virginia. The study uniquely explores the dynamic interplay between macro-level policies and micro-level individual behaviors—categorized by employment types, social activities, and residential choices—shedding light on their collective impact on urban morphology. Contrary to conventional expectations, findings reveal that the current low rate in WFH practices has not significantly redirected urban development trends towards sprawl but rather has emphasized urban densification, largely influenced by on-site work modalities. This observation is corroborated by WFH ratios not exceeding 10% in any analyzed census tract. Regarding model performance, the integration of micro-agents into the model substantially improved its accuracy from 86% to 89.78%, enabling a systematic analysis of residential preferences between WFH and on-site working (WrOS) agents. Furthermore, logistic regression analysis and decision score maps delineate the distinct spatial preferences of these agent groups, highlighting a pronounced suburban and rural preference among WFH agents, in contrast to the urban-centric inclination of WrOS agents. Utilizing ABM and ANN integrated with GIS technologies, this research advances the precision and complexity of urban growth predictions. The findings contribute valuable insights for urban planners and policymakers and underline the intricate relationships between work modalities and urban structure, challenging existing paradigms and setting a precedent for future urban planning methodologies.
A Collective Sense of Place and the Image of the City @ Urban Public Spaces: Analysis on People's Perception of User-Generated Image Content and Hashtags on Instagram
Lee, Hana (Virginia Tech, 2022-01-03)
Urban public spaces are constantly restructured with new meaning, reflecting their socio-cultural, political, historical, and technological influences. Over the last two decades, the rapid technological advancements and increasingly widespread use of mobile devices give people a chance to share their experiences of their immediate surroundings through various applications. As these platforms enable people to create and exchange various forms of User-Generated Content (UGC) has gained wide attention as an invaluable source of information on human-environment relationships including people's timely perception, emotion, preference, and sense of place in public space. This study employs quantitative content analysis to identify collective perceptions of urban public spaces and their characteristics as projected through a photo-sharing social media application, Instagram. A total of 1,200 users' photos and associated hashtags geo-referenced to three New York City urban public spaces, Bryant Park, Madison Square Park, and Union Square. This study begins with a qualitative phase, employing manual categorization techniques to identify the concepts in visual and textual data. The second phase applied a statistical analysis method, a set of descriptive analytics, and chi-square tests to answer the research questions for this study. Findings indicate physical attributes of urban squares are the most dominant type of geo-referenced users' photographs through the visual social media platform. People's immediate perceptions vary with time and place, while the patterns of hashtag usage found in this study show no difference across the three urban squares. people's perception of urban squares goes beyond the boundaries of the square itself, encompassing the streetscape, buildings, and local businesses adjacent to the square. While people rarely utilize hashtags as a method of emotional expression, findings show a clear connection between hashtags associated with users' photo content and the image of the city.
Community-based Mixed Method Research to Understand Rapidly Changing Cultural Landscapes
Alisan Yetkin, Aylin (Virginia Tech, 2018-09-21)
Tangible and intangible heritage values of cultural landscapes are becoming lost or transforming under the threat of rapidly changing landscapes. Researcher-oriented documenting methods are missing significant meanings of landscapes for local communities. Community-based methods can reveal both tangible and intangible heritage of landscapes without missing important values for local communities. This dissertation study proposed a community-based mixed method research to reveal and document cultural heritage or other values from the perspective of local community members in the case study area of Findikli in Rize/Turkey. Findikli's cultural landscape is under the threat of rapidly changing landscape due to newly introduced agriculture practice - tea production. To reveal lost or transformed tangible and intangible heritage meanings of the Findikli's cultural landscape, multiple community-based research methods were used for collecting data from local residents as well as those with family or community connections to the area. Community workshops, individual and group interviews, and surveys gathered information on the social and cultural relationships, as well as locations of past and present agricultural activities, land uses and built structures. Analysis of family and community photographs and aerial imagery, as well as community produced land use and cognitive maps helped place these in spatial relationship to the landscape. Results of this dissertation study made contributions to case study area with a rich archive of Findikli's traditional tangible and intangible landscape elements, and to cultural landscape studies with a method of discovering traditional cultural heritage and landscape values under the threat of change and a guidance to document them with the community-based methods to increase quality and quantity of information.
Comparison between Daytime and Nighttime Scenery Focusing on Restorative and Recovery Effect
Cheon, SangHyun; Han, Soyoung; Kim, Mintai; Kwon, Yoonku (MDPI, 2019-06-16)
The overall purpose of this study was to investigate psycho-physiological variations in human bodies by observing visual images of daytime and nighttime scenery to focus on restorative and recovery effects. Unlike previous studies that have focused on the natural versus built environments, this study aims to compare restorative and recovery potentials between daytime and nighttime. The experiment was conducted by showing a total of 12 images to 60 participants in order to measure the brain response with an electroencephalogram (EEG). As measures of the psychological impact of the images, perceived restorative and recovery scales were used. The self-reported data indicates that daytime sceneries are rated more positively than nighttime sceneries in terms of restorative and recovery effects. According to the EEG results, restorative and recovery feelings have negative relationships with the relative theta band, while positive relationships are shown with the relative alpha band. The correlation analysis between EEG bands and brain regions showed a significant correlation (p < 0.05) with 46 pairs for the daytime scenery stimuli and 52 pairs for the nighttime scenery stimuli. Through the results of the study, we conclude that daytime and nighttime scenery affect restorative feelings and the human brain response through both verbal and non-verbal methods.
Credibility of a Person-Centered Design Decision-making Prototype: Spaces for Older Persons with Vision Loss
Gowda, Vidya (Virginia Tech, 2016-06-29)
Decline in both visual acuity and visual performance is a fact of life for older people and their increasing share of the population requires that buildings be designed with their visual needs in mind. As their field of vision decreases, people find it harder to identify an objects location, distance, and orientation. Elderly people with vision impairments usually find it harder to perform daily activities such as navigation through indoor spaces. Functional vision can be improved by modifying the design of spaces, for example, with better lighting. However, architects typically do not know how to take the needs of the visually impaired into account in their design process, or simply do not think of doing so. The researcher designed and feasibility-tested a prototype person-centered tool to help architects judge how appropriate a designed space will be for visually impaired people. The study was conducted as a qualitative mixed-methodology research analysis. The researcher used knowledge from literature interpretation to rationalize the development of a person-centered prototype. The researcher immersed design PhD students and vision science experts to inform the prototyping process. Along with an expert group of design and vision science professionals, the researcher beta-tested the prototype during a mock design-process scenario. The researcher also selected a small group of industry experts to participate in open-ended interviews on post-use demonstrations to qualitatively triangulate the findings on the prototypes usability. The study summarizes the feasibility including the challenges of using the prototype for professional purposes and suggests improvement.
Dante, VA: Community Design Charrette
Clements, Terry L.; Williams, Daphne; Shi, Xiaofei; Bohannon, C. L.; Bork, Dean R.; Jacobson, Wendy R.; Johnson, Benjamin C.; Katen, Brian F.; Kim, Mintai; McGill, David; Miller, Patrick A.; Proctor, Nicholaus; Gilboy, Elizabeth (Virginia Tech. Community Design Assistance Center, 2017-02-01)
The Virginia Tech Landscape Architecture (LAR) Program held the first Richard G. Gibbons Public Landscapes Planning and Design Vertical Charrette at the beginning of the spring semester 2017. All landscape architecture students from second through fifth year participated in the charrette as part of their required studio and senior project work. This endowed charrette was also supported with an Urban & Community Forestry grant from the Virginia Department of Forestry provided through the Community Design Assistance Center and funding from the town of Dante. The charrette addressed public landscape issues and opportunities in Dante, Virginia, a historic coal town located in far southwest Virginia. Students and faculty travelled to the historic coal and rail town to meet with Dante and Russell County representatives to learn about the town and its rich social, cultural, economic, and environmental heritage as well as its current challenges and opportunities. Student groups were tasked with identifying and investigating options for community revitalization using public open space. After a single week of intensive work, the student groups graphically and orally presented their ideas for Dante’s future.
Density and What Matters: A Study of People's Attitudes Toward and Perceptions of Urban Density
Xu, Yining (Virginia Tech, 2010-02-08)
As long as the population keeps growing and lands are desired, the research on how the city could be developed is needed. Higher density development, considered as the alternative for urban sprawl, is a new trend for future development. The barrier between advocacy of higher density environment and misconception of density asks for a descriptive and systematic interpretation for human perception of density. In response to this demand, this research aims to provide a description of the factors that influence people's perception of higher density environments. Also, it aims to identify people's important concerns while using outdoor environments. This study is based on data obtained from an online survey questionnaire that polled public attitudes toward density. The findings from the data indicate that the more important characteristics that people are concerned about the higher density environment are presence of nature, interaction opportunities, building identity and perceived safety. This study also points out that people's attitudes toward density vary based on certain factors. Those factors are age, occupation, place of residents and type of residents. This research could be used as a reference for future planning and design. Results of this study reflect participants' attitudes towards density. It initiates a discussion of future research and generates a frame work for future study for a larger population.
Derelict to Dynamic: Examining Socioecological Productivity of Underutilized/Abandoned Industrial Infrastructure, and Application in Baltimore, Maryland
Niland, Joseph Michael (Virginia Tech, 2018-06-25)
With over 16,500 documented vacant commercial and residential units, roughly 20 miles of abandoned rail lines, a historic loss of approximately 330,000 residents, millions of gallons of annual surface water sewage discharges, and a decade-long failed water quality consent decree - Baltimore, Maryland lies at a crux of chronic challenges plaguing America’s formerly most economically and industrially powerful cities (Open Baltimore GIS [Vacancies Shapefile], 2017; “Harbor Water Alert” Blue Water Baltimore, 2017). Impending environmental threats in the “Anthropocene” (Crutzen, 2004) and increased attention to societal injustices warrant heightened inclusivity of social and natural urban functions. Socioecological inequities are often highly conspicuous in declining post-industrial American cities such as Baltimore. Chronic social, economic, and environmental perturbations have rendered some of once critical American infrastructure outdated, underutilized, and/or abandoned. Rivers, forests, rail corridors, as well as residential and industrial building stock are in significantly less demand than when America’s industrial age shaped urban landscapes in the late nineteenth/early twentieth centuries. Compounded by insensitive traditional urban development, these phenomena jeopardize urban social and ecological function. This thesis is an examination of contemporary urban ecology concepts as a systemic approach for revitalizing socially and ecologically marginalized urban areas, with an application in West Baltimore, Maryland neighborhoods. Through an examination of socioecological dilemmas and root causes, a conceptual procedure for urban blight mitigation along the Gwynns Falls corridor is proposed. Adopting an urban green infrastructure plan offers comprehensive alternative solutions for West Baltimore’s contemporary challenges. Master plans are proposed for the Shipley Hill, Carrollton Scott, and Mill Hill neighborhoods in West Baltimore. Site scale socioecological connections are suggested for the Shipley Hill neighborhood with contextual linkages in the surrounding neighborhoods. Additionally, policy considerations are explored for revitalizing Baltimore’s most vulnerable landscapes. By transforming derelict industrial infrastructure to dynamic socioecological patches and corridors, this work aims to enhance socioecological equity and connectivity. Negative aspects of Baltimore’s contemporary urban condition such as blight, high vacancy rates, ecological damage, population decline, and other symptoms of shrinking cities are deeply rooted in a complex evolution of social, environmental, and economic management. Current challenges facing Baltimore can be directly linked to a long history, specifically including industrialization and systematic segregation of neighborhoods. As the United States entered a period of stability following the industrial revolution, domestic manufacturing dwindled, causing a once strong workforce population to leave industrial mega-cities such as Baltimore. This population exodus left behind prior workforce housing and industrial infrastructure, much of which now nonessential to Baltimore’s contemporary urban functions. Housing vacancies and abandoned infrastructure are most noticeable in Baltimore’s predominately minority neighborhoods. Historically marginalized by systematic segregation tactics, “redlined” neighborhoods largely continue to lack sufficient social and economic capital for adaptation to a transformative new era in Baltimore’s history. Disparities in these minority neighborhoods have shown lasting consequences and continue to suffer from financial, social, and ecological neglect. However, progressive urban planning processes pose significant opportunity for equitable inclusion of historically marginalized urban communities through the introduction of green infrastructure. Because socioecological disparities in Baltimore are incredibly complex, an equally complex solution is necessary to adequately alleviate symptoms of declining cities. Although much research and literature has been cited in systemic solutions aiming to address the totality of these issues, practical implication of these strategies remains limited. This thesis aims to identify primary drivers of socioecological inequity as well as recommend policy and spatial solutions to alleviate symptoms of shrinking cites specific to Baltimore.
Design Education Reconsidered: Faculty Perceptions of Community Engagement in Landscape Architecture
Bohannon, C. L. (Virginia Tech, 2014-12-05)
Colleges and universities have been linked to society since their inception. In recent times this linkage has come under scrutiny as society's expectations of higher education have become more expansive and diverse. Over the past decade, there have been various shifts in pedagogy and scholarship in higher education, including the shift towards increased civic responsibility. One such shift is the role of universities and the communities they serve. This shift toward partnership and reciprocity is termed engagement. Community engagement has emerged as an important academic strategy used to enhance and complement traditional learning methods in higher education. According to the Campus Compact, the number of faculty members who include community engagement as part of their teaching, research, and service has increased (Campus Compact, 2012). While faculty are encouraged to incorporate community engagement into their work (Colby, Ehrlich, and Stephens, 2003), nominal research focuses on the perceptions of faculty members in landscape architecture on community engagement. This research explores the current state of community engagement within landscape architecture and identifies the benefits and barriers that foster or inhibit faculty from using community engagement as part of their teaching, research, and service. This study employed a mixed methods research design. Two sequential phases were utilized. The first phase consisted of faculty responses to the Community Engagement in Landscape Architecture Education (CELAE), which consisted of 70 questions. The second phase consisted of in-depth interviews with faculty who self selected to participate in the qualitative phase of the study. Descriptive and inferential statistics were used to analyze the quantitative data, and content analysis was used to analyze the qualitative data. Findings indicate faculty members in landscape architecture believe that community engagement has a positive impact on student's educational experiences, provides opportunities for research and scholarship. Faculty also reveal how faculty in landscape architecture define community engagement in regards to other terminology that is currently used in higher education to describe working with communities to solve problems. Findings from this study may be used to help landscape architecture faculty members design and develop efforts to help promote community engagement as part of their teaching research and service.
Discovering the Aesthetic of Flood Control Infrastructure
Thomas, Jordan (Virginia Tech, 2012-04-26)
Infrastructure plays an instrumental role in the shaping of the landscape across many scales and is a critical human component within the landscape, yet these systems have tended to ignore the function of appearance and aesthetics in their design. Consequently, the relationship between our infrastructure, the environment, and us has become increasingly opaque. The majority of the vast infrastructure systems that weave throughout the landscape promote a mono-functional agenda which is relegated to the background of our everyday experiences. By investigating the traditional methods of designing infrastructure, we can begin to understand how to integrate aesthetics into the design of infrastructure. This is explored through one of the largest infrastructure systems in the United States; flood control. Flood control infrastructure in is an extensive system that has formed a protective barrier between human and natural processes for over 200 years. Its largest component, the levee, is an elegantly simple structure that contains many layers of significant cultural and historic aesthetic narratives. This thesis focuses on the levee as an infrastructure that mediates between natural processes and human development and studies how it can perform aesthetically to convey new meaning and value. What is the potential of the levee to become expressive in our lives, and be designed in such a way to move us? This new infrastructural paradigm explores the implications of utilizing aesthetics as an expressive and significant function of levee design that can inform and inspire the public and define a new dialogue between man, nature, and technology.
A Discrete Choice Experiment to Elicit People’s Preferences for Semi-Arid Riparian Corridors: A Multinomial Logit Model
Bogis, Abdulmueen; Kim, Mintai (2023-05)
The aim of this study is to examine public preferences for urban riparian corridors in arid regions using simulation and visual quality analysis scenarios. Ecological landscapes are often subject to trade-offs with aesthetic landscapes that include micro and macro environmental factors such as manicured landscapes. It is suggested that there is a preference for aesthetics in landscape design; however, it is unclear how laypeople prioritize aesthetics over different ecological factors in landscape scenes. This study uses a Discrete Choice Experiment (DCE) to elicit the preferences of current or former residents of Jeddah City, Saudi Arabia, for multiple landscape scenes. The method combines ecological landscape characteristics (adopted from the QBR index) found in the study area in Jeddah and aesthetic characteristics commonly suggested in landscape design projects. Participants in this study were exposed to a set of illustrated landscape scenes, including various aesthetic and ecological elements configurations. Participants’ choices revealed the influence of their ecological and aesthetic values. Results show that people may prefer unmaintained ecological landscapes if minimal design interventions were provided. This will prevent trading off the ecological unmaintained landscape with aesthetically maintained landscapes within the study area. This study will help researchers and landscape architects advance visual preference research further into the domain of empirical studies. It presents a new powerful technique to elicit the preference of an individual element in landscape scenes, which improves the precision of community-based decision-making.
Ecological and Aesthetic Factors' Preferences of Urban Riparian Corridor in ‎Arid Regions: A ‎Visual Choice Experiment
Bogis, Abdulmueen Mohammed (Virginia Tech, 2021-10-26)
The aim of this study is to examine the public preferences for urban riparian corridors in arid ‎regions, by testing to what extent people are willing to trade-off unmaintained ecological ‎landscape for aesthetics offered by specific micro and ‎macro environmental factors. Landscape ‎design reflects ecological and aesthetic values, and trade-offs are often made ‎between the two in ‎‎practice. In arid regions, water scarcity means riparian corridors are the ‎richest landscape ‎typology and the only ‎blue-green links for hundreds of miles. Pressure from ‎urbanization and ‎lack of eco-literacy contribute to negative ‎feedback loops which present dire ‎challenges for ‎migrating avifauna and regional wildlife. Regarding natural ‎resources and ‎biodiversity, where ‎multiple deliverable ‎ecosystem services rely on the quality and health of that ‎‎ecosystem, riparian ‎systems with high biomass are more desirable. Although this can be ‎achieved with low or no ‎‎maintenance riparian buffers, these unmaintained ecological landscapes ‎play an intrinsic role in ‎sustaining the ‎global ecosystem services and are important for the survival of the inhabitants ‎‎(avifauna). Ecological ‎landscapes are often subjected to trade-offs with aesthetic ‎landscapes that ‎include micro and ‎macro environmental factors such as manicured landscapes. It is accepted that ‎‎there is a ‎preference for aesthetics in landscape design; however, it is unclear how laypeople ‎prioritize ‎aesthetics ‎over different ecological factors in landscape scenes. This study uses a ‎Discrete Choice ‎Experiment (DCE) to elicit the ‎preferences of current or pretendant residents of ‎Jeddah City, Saudi Arabia for multiple landscape scenes. The method ‎combines ecological ‎landscape characteristics adopted from ‎the QBR index that are found in the study area in Jeddah ‎and aesthetic ‎characteristics, such as micro and macro environmental factors that are commonly ‎suggested in landscape design projects adapted from relevant visual preference studies (Alsaiari, ‎‎2018; Kenwick et al., 2009; Kuper‎ ‎,‎2017; Zhao et al., 2017). ‎DCE is a widely used method to ‎reveal preferences by analyzing the trade-offs people make ‎between ‎alternatives. Participants in ‎this study were exposed to a set of designs, which included ‎various configurations of ‎aesthetic ‎and ecological elements. Participants' choices revealed the influence of their ecological and ‎‎aesthetic values. Results show that minimal design interventions would prevent trading off the ‎ecological unmaintained landscape and that there are four subgroups with distinct homogeneous ‎preferences for the attributes affecting the appeal for the urban riparian corridor in Jeddah City. ‎Finally, results show that even though there are significant differences between subgroups based ‎on preferences, the demographic information is proportionally distributed in a way the means ‎differences diminish between the subgroups. ‎Findings in this study will equip ‎decision-makers ‎with operational definitions relating to riparian ‎landscape design and a method ‎that they can use ‎to minimize losses in ecological value over aesthetic value. This study will help‎ ‎researchers and ‎landscape architects advance visual preference research further into the domain ‎of empirical ‎‎studies.‎ ‎
Ecosystem services provided by agricultural land as modeled by broad scale geospatial analysis
Kokkinidis, Ioannis (Virginia Tech, 2014-04-27)
Agricultural ecosystems provide multiple services including food and fiber provision, nutrient cycling, soil retention and water regulation. Objectives of the study were to identify and quantify a selection of ecosystem services provided by agricultural land, using existing geospatial tools and preferably free and open source data, such as the Virginia Land Use Evaluation System (VALUES), the North Carolina Realistic Yield Expectations (RYE) database, and the land cover datasets NLCD and CDL. Furthermore I sought to model tradeoffs between provisioning and other services. First I assessed the accuracy of agricultural land in NLCD and CDL over a four county area in eastern Virginia using cadastral parcels. I uncovered issues concerning the definition of agricultural land. The area and location of agriculture saw little change in the 19 years studied. Furthermore all datasets have significant errors of omission (11.3 to 95.1%) and commission (0 to 71.3%). Location of agriculture was used with spatial crop yield databases I created and combined with models I adapted to calculate baseline values for plant biomass, nutrient composition and requirements, land suitability for and potential production of biofuels and the economic impact of agriculture for the four counties. The study area was then broadened to cover 97 counties in eastern Virginia and North Carolina, investigating the potential for increased regional grain production through intensification and extensification of agriculture. Predicted yield from geospatial crop models was compared with produced yield from the NASS Survey of Agriculture. Area of most crops in CDL was similar to that in the Survey of Agriculture, but a yield gap is present for most years, partially due to weather, thus indicating potential for yield increase through intensification. Using simple criteria I quantified the potential to extend agriculture in high yield land in other uses and modeled the changes in erosion and runoff should conversion take place. While the quantity of wheat produced though extensification is equal to 4.2 times 2012 production, conversion will lead to large increases in runoff (4.1 to 39.4%) and erosion (6 times). This study advances the state of geospatial tools for quantification of ecosystem services.
Enhancing Landscape Performance Measurement Using Smart Devices, Data Visualization, and Longitudinal Tracking
Shen, Zhongzhe (Virginia Tech, 2024-05-28)
This dissertation explores the use of smart devices to measure the environmental landscape performance (LP) of landscape projects. It proposes and evaluates an alternative landscape performance measurement framework (ALPMF) with smart device assistance. By providing new measurement methods and tools, it aims to fill some existing and potential gaps in LP and promote its development. LP has been proposed in landscape architecture to measure landscape projects' sustainable benefits. Due to LP research's short development history, some gaps exist, including one-time measurements, a lack of standard evaluation methods, and insufficient measurement tools. Given the advantages of smart devices in data collection and the successful application of smart devices in other design-related fields, this dissertation explores their feasibility as assessment tools in environmental LP studies. It begins by analyzing each LP research case's report listed on the Landscape Performance Series (LPS) website to explore the limitations of traditional measurement methods and tools. Following a survey of professionals' perspectives on LP metrics. Based on the survey results, the researcher selects certain air quality and water quality LP metrics as variables (air temperature, humidity, carbon dioxide, particulate matter, total dissolved solids, and electronic conductivity) for subsequent experiments. Two experiments explore smart devices' strengths and limitations in collecting LP data and measuring landscape projects' LP in terms of accuracy, real-time, spatial resolution, and longitudinal analysis. The researcher proposes the ALPMF and conducts a comparative study with the traditional landscape performance measurement framework (TLPMF) to measure a project's LP. By comparing methods, tools, and results, the study examines the advantages and effectiveness of the ALPMF to a certain extent and explores its limitations. The research results show that smart devices and the ALPMF can provide more accurate, real-time, spatial resolution, and longitudinal LP data. The results also demonstrate the effectiveness of the ALPMP. Furthermore, this dissertation offers several insights and suggestions for further developing smart devices and the ALPMF in LP and landscape architecture. This dissertation fills some research gaps and provides new tools and methods for future LP measurement. It contributes to improving landscape projects' sustainable values and refining the landscape architectural design guidelines. As an interdisciplinary study, it also provides an example of the intersection of landscape architecture with other disciplines, such as mechanical engineering and computer science. It helps to broaden the knowledge boundary of landscape architecture.
Examining the Microclimate Pattern and Related Spatial Perception of the Urban Stormwater Management Landscape: The Case of Rain Gardens
Ge, Mengting; Huang, Yang; Zhu, Yifanzi; Kim, Mintai; Cui, Xiaolei (MDPI, 2023-07-12)
This study examines the microclimate pattern and related spatial perception of urban green stormwater infrastructure (GSI) and the stormwater management landscape, using rain gardens as a case study. It investigates the relationship between different rain garden design factors, such as scale, depth, and planting design, and their effects on microclimate patterns and human spatial perception. Taking an area in Blacksburg, Virginia, as the study site, twelve rain garden design scenarios are generated by combining different design factors. The potential air temperature, relative humidity, and wind speed/direction are analyzed through computational simulation. Additionally, feelings of comfort, the visual beauty of the landscape, and the overall favorite are used as an evaluation index to investigate people’s perception of various rain garden design options. The study found that a multilayer and complex planting design can add more areas with moderate temperature and higher humidity. It also significantly improves people’s subjective perception of a rain garden. Furthermore, a larger scale rain garden can make people feel more comfortable and improve the visual beauty of the landscape, highlighting the importance of designing larger and recreational bioretention cells in GSI systems. Regarding depth, a relatively flatter rain garden with a complex planting design can bring stronger air flow and achieve better visual comfort and visual beauty. Overall, by examining the microclimate pattern and related perception of rain gardens, this study provides insight into better rain garden design strategies for the urban stormwater management landscape. It explores the potential of rain garden design in urban GSI and responds to climate change.
How Virtual Reality Renderings Impact Scale and Distance Perception Compared to Traditional Representation
Ge, Mengting; Huang, Yang; Kim, Mintai (Wichmann Verlag, 2023-05)
Spatial scale and distance are essential attributes of physical space in landscape design. Individuals’ perceptions of spatial scale and distance reflect how well they understand a space, and decides how they design the space. This research studies how scale and distance perception in landscape design projects using Virtual Reality (VR) renderings can differ from traditional design representations. This study examines perception of space using three design representation methods: VR simple 3D model, VR realistic rendered model, and traditional representation with the illustrative plan. Fifty-four individuals with design education and practice experience participate in this research. Participants were divided into 3 groups, and every group used one design representation method to estimate the spatial scale of selected space and distance to selected objects. Participants’ perceptions are investigated through survey and statistically analysed. This research enriches VR-related studies from the perspective of spatial perception and awareness. It inspires diverse possibilities of future design representation in the design industry and education.
Improving Landscape Performance Measurement: Using Smart Sensors for Longitudinal Air Quality Data Tracking
Shen, Zhongzhe; Kim, Mintai (Wichmann Verlag, 2022-06)
As addressing climate changes become a pressing issue in landscape architecture, the importance of landscape performance (LAP) became an important topic. An essential part of LAP is accessing data. Some data are easily accessible in the landscape architecture field, but some are not, such as air quality data. When such data are available in the landscape architecture field, they are often not of high enough quality, regarding scale, adequation, and precision. Also, there are sometimes financial barriers to getting the data. The research team explores an alternative way of collecting longitudinal air quality data to improve LAP measurement, using the Arduino-based cheaply made smart sensors installed on-site over time. The research team conducted experiments in nine comparison sites, collected and analyzed air quality data, including temperature, humidity, equivalent carbon dioxide (eCO2), volatile organic compounds (TVOCs), and fine particulate matter (PM2.5). The result shows that compared to publicly available data, longitudinal data collected by smart sensors are more accurate, dense, and frequent. This study investigates the strengths and capacities of using smart sensors for longitudinal air quality data tracking and offers an alternative way of providing data evidence for sustainable design to mitigate some climate changes issues.

Browsing by Author "Kim, Mintai"

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