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ItemCalling A House a Home: The Interior and Exterior Design of Black Homes(Georgia Institute of Technology, 2024-04-25) McCain, Mary JaneThis paper explores the interior and exterior design of Black homes as repositories for history, culture including personal identity and family history.
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ItemSandy Springs Homeownership Assessment and Policy Recommendations(Georgia Institute of Technology, 2024-04) Kaufman, MiraThe city of Sandy Springs hopes to preserve and develop more housing in its area to ensure that young adults with families and first-time homeowners set down roots in the city. Land prices have risen steadily in Sandy Springs, and the local government aims to introduce strategies and protections to maintain and develop affordable housing stock for this demographic. Entry-level homeownership opportunities are crucial to the continued vibrancy of the community and for future growth. Without plentiful accessibly priced homes, the city’s demographics will continue to skew towards older and wealthier residents, reducing the diversity and resilience of the community. This project analyzes the housing market of Sandy Springs using the American Community Survey (ACS) and Home Mortgage Disclosure Act (HMDA) data and recommends strategies for providing adequate homeownership opportunities to support the city’s desired future residents. ACS data is used to examine changes that have occurred in the homeowner population in Sandy Springs between 2018 and 2022. To provide further insights into homeownership, the HMDA dataset shows the types of mortgage loan applicants in Sandy Springs in 2018 and 2022. This data illuminates specific challenges for young families and professionals in originating mortgages. The literature review and recommendations sections highlight potential policy action relating to the goal of increased homeownership for adults starting families and other early professionals in the city.
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ItemParticipatory Science for Data Feminism: Application of an original feminist framework for assessing participatory datasets in urban planning decision-making(Georgia Institute of Technology, 2023-07-31) Khorashahi, YasaminThe purpose of this study is to characterize participatory data science as an effective feminist framework for urban planning decision-making and assess its efficacy in achieving planning outcomes through a climate-oriented case study (UrbanHeatATL) in the Atlanta context. Cities are trending towards rapid digitization, and scholarship on Big and small data suggests that emerging methods of data collection and implementation are inherently biased because they disassemble individual identities into single-dimensional data points. Feminist epistemology suggests that meeting communities where they are when making policy decisions through practices such as participatory data collection and governance is an effective way to reduce bias against marginalized individuals and their communities. The UrbanHeatATL case is assessed against an original feminist framework for assessment of participatory science, the Participatory Science for Data Feminism (PSDF) framework. The PSDF framework has three dimensions: 1) participatory metadata, which addresses question of who is participating in data collection, how data are being collected, and who these data will represent; 2) data for power/data for liberation seeks to characterize why data are being collected and what stories are being told by the data; and 3) efficacy in planning outcomes is to assess whether these data are being collected as a means for implementation of plans and policy to lead to more equitable outcomes for marginalized communities. The project followed data feminism principles of data collection and told a compelling narrative about heat-vulnerable communities, but gaps remain in translating datasets into equitable planning and policy outcomes. Steps need to be taken by planning decision-makers and researchers to better integrate community participation into data collection by making technology more accessible. Researchers must also work directly with planning decision-makers before, during, and after the data collection process to determine a path forward for policy and planning outcomes.
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ItemA Greenspace Ethnography of Southwest Atlanta: A Review and Tool(Georgia Institute of Technology, 2022-05-03) Wright, Janelle PaigeThe purpose of this thesis study is to provide a tool and foundation for a community science-based greenspace ethnography of a neighborhood. The research requires an assessment of environmental history, policy, plans, and programs throughout the region of interest. This tool's development and application will build on the Southwest Atlanta region and the Bush Mountain neighborhood's existing strategic and programmatic work. Bush Mountain is one of the smallest historically Black neighborhoods within the region, and this study area contains significant environmental and community action and planning around maintaining historical breadth. The neighborhood origin during Reconstruction between 1910 and 1960 and had "developed and sustained [itself] by mobilizing and utilizing its indigenous resources despite the neglect it received from municipal and social institutions" (Pope 2013). Transformation amongst annexations and impending urban redevelopment informed greenspace maintenance throughout time. The ethnography asks the following question: How is place-keeping facilitated across landscape through greenspace change? It does so in the development of a greenspace timeline, and analysis of the structure of greenspace assessment tools support the quantitative ethnographic methodology that builds the practice from the experience of urban agriculture stewards in greenspaces, into practice into community through a community science framework. Perhaps the methodology seeks to reclaim tradition, both Black and indigenous, and in "sustaining curiosity rather than knowability" (McKittrick 2021, YouTube)
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ItemIn the Mix: Middle Housing and Income Diversity in Atlanta(Georgia Institute of Technology, 2020) Orsini, CallieThis study explores a correlation between Atlanta’s modest supply of middle housing (often referred to as “missing middle”), and income diversity among residents. While Atlanta has historically been one of the most ethnically diverse cities in the country, it also leads the country in income inequality and is severely spatially segregated. Integrating more middle housing and potentially eliminating exclusionary zoning completely is a step towards a more equitable city. A review of literature further details this connection and justifies Atlanta as a valid case study. Multiple regression analysis is used to analyze the relationship between the percent of middle housing and income diversity scores in City of Atlanta block groups (326 cases). Results and discussion are intended to bolster the work of previous literature while contributing to further research and policy-relevant conclusions including upzoning, allowing smaller minimum lot sizes, and modifying residential parking requirements.