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Master's Projects

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Cultivating Connections: A Housing & Economic Development Implementation Strategy for the Mechanicsville Neighborhood of Atlanta

2018-12 , Barrett, Grace , Burge, James , Carter, Melody , Coyle, Tyler , Davison, Brianna , Furman, Seth , Sherman, Andrea , Smith, Andrew , Smith, Michael , Wolfe, Andreas

The future of Mechanicsville has been laid out in several previous plans, but they have resulted in little additional development for the neighborhood. Rather than creating another plan, the goal of this studio was to provide an implementation framework for community level development strategies. They are based on best practices observed in other communities, both in the City of Atlanta and around the United States as well as key input from Mechanicsville stakeholders. A key goal of the studio was to create a collection of practical ideas and recommendations which can be taken and applied by the Mechanicsville community, developers, and the City.

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What statistical and spatial relationships exist between health insurance, race, income, and education in the state of Georgia immediately before and after the implementation of the Affordable Care Act?

2018-08 , Walker, Evan

What statistical and spatial relationships exist between health insurance, race, income, and education in the state of Georgia immediately before and after the implementation of the Affordable Care Act?”. To answer this question, two datasets were used. They were both five-year estimates from the American Community sSurvey. The first range was for 2009-2013, and the second was an estimate from 2012-2016. The data obtained was for the 1959 census tracts in the state of Georgia. These years were chosen because the ACA was implemented in 2014, therefore the first dataset would not be affected by the ACA and the second would what largely be after its implementation. This study combined both linear statistical analysis as well as spatial statistical analysis. The variables chosen were income, race, education level, and health insurance. More specifically: average income for each tract, percent non-white/minority population, percent of individuals over 25 years-old with less than a high school diploma or GED equivalent, and the percentage of the population that in uninsured. These were chosen because I felt that they are all suitable metrics for examining these complex socio-economic factors. In the linear regression analysis health insurance was the dependent variable (DV) in all the regressions. For each dataset several combinations of the independent variables (IV) were used, in addition the difference between variables in the two time periods was regressed, and finally a logistic regression was performed on the differences between the two time periods. Unfortunately, the regression produced very little correlation amongst any of the variables. (This will be discussed more thoroughly in the results section). The next part of the analysis was the spatial analysis for each variable a get-is Ord hotspot analysis was performed, a Moran’s I test for spatial autocorrelation, and then individual choropleths were generated for each variable as well.

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Economic Shifts Along the US-Mexico Border: Investigating the Changes in Location Quotient at the Block Level in Four US Border

2018-08 , Cunningham, James

US border cities are often considered “city-pairs” with coinciding Mexican industrial cities. Current literature suggests that the export economy of these Mexican cities increases employment in US border cities for the transport/warehousing, retail trade, and manufacturing sectors from the years 1976 to 2006. Focusing on Douglas, AZ, Nogales, AZ, Calexico, CA and San Diego, CA, this study uses LODES WAC census block level data and a location quotient analysis to (1) determine if these three industries have continued to grow from 2004 to 2015 using summary statistics, still maps, and animated maps (2) determine if these shifts are related to US/MX border proximity using regression techniques. It was found that the location quotient for manufacturing decreased in all cities but San Diego, with location quotient values being strongly related to border proximity. Similarly, all cities but San Diego showed a decrease in retail trade location quotient, although this trend was not always related to border proximity. California border cities showed a decrease, but Arizona cities showed a continued increase in transport/warehousing location quotient with most cases related to border proximity. These results suggest that while spillover effects continue to exist in these US/MX city pairs, they are largely concentrated in the transport/warehousing sector, with the maturation and continued development of Mexican industrial cities likely leading to less manufacturing needs in US border cities across the study period.

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Growth versus Development: The case of China Pakistan Economic Corridor

2018-05 , Ijaz, Mishele

There is a growing need to examine the relationship between ‘Growth’ and ‘Development’, and the issues that surface when both these terms, in the context of developing countries, are used synonymously. Growth is assessed by measuring market production through indicators such as the GDP and GNI, whereas Development is contingent on a larger set of variables including health, education, and quality of life. By drawing a clear distinction between the two, I intend to understand how planning is done when the aim is growth, versus how it is done when the aim is development.

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Powder Springs: Corridor and Connectivity Plan

2018-12 , Agnew, Agnew, Darian T. , Bleckley, Claire , Denison, Jack , Graszer, Grace , Greenwald, Jeremy , Hanus, Andrew , Healy, Clare , Ma, Jiayan , Scott, Eric , Sherman, Jonathan , Stephens, Nick

Powder Springs charged the studio to focus its attention on two of the major access corridors into the city, Powder Springs Road from the east and Austell-Powder Springs Road from the southeast. In contemplating and then analyzing that charge, the studio placed their work into a comprehensive framework. Students took into account the work that the city has prioritized in recent years, particularly its downtown focus and connectivity to the Silver Comet trail.

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Highways, Urban renewal, and patterns in the Built Environment: Exploring Impacts on Atlanta Neighborhoods

2018-08 , Leonard, Matthew

During the mid-twentieth century, cities across the United States underwent drastic changes known broadly at the time as “urban renewal.” In many cases, these changes included widespread demolition of varied neighborhoods in the established urban core to make way for uses deemed more appropriate, such as Interstate highways, public housing projects, and other large-scale public developments or private developments with public backing. Atlanta, Georgia serves as a prime example of this trend, as large swathes abutting its historic downtown were leveled in the 1950s and 1960s for construction of Interstate 75-85 (the Downtown Connector), Interstate 20, and Atlanta Stadium (later known as Atlanta-Fulton County Stadium and subsequently demolished). Significant additional parts of Atlanta’s inner city were similarly cleared later in the twentieth century for construction of landmarks such as Freedom Parkway, the Georgia World Congress Center, Turner Field, and various other projects. Such changes obviously had a profound disruptive impact on neighborhoods that existed previously.

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Information Theory as a Measure of Sociodemographic Change

2018-08 , Lancaster, Zachary

The current discourse around gentrification has been primarily focused on an economic understanding of gentrification. That is, that the gentrification can be primarily viewed through changes in housing prices in an area. That this increase is the sole and primary cause of displacement. While this economic explanation is an important component, it is not the only cause. The image, or perception of, a neighborhood changes as its socio-demographic and socio-economic circumstances change. As these circumstances change a process of replacement occurs and the social ecosystem begins to shift. This leads to the experiential phenomenon of gentrification, where the richness of social life declines as differing views and experiences are removed. This paper proposes a methodology for using metadata, specifically data concerning the entropy, or level of uncertainty or disorder, in demographic data to try to detect these changes and then applies this method to the City of Atlanta, in particular the areas around the Atlanta Beltline Eastside Trail.

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Modeling Transit Dependency Index and the Analysis on the Intersecting Transit-Dependent Groups: A Spatial Microsimulation Approach

2018-12 , Pang, Jian

This research is primarily focused on building a methodology framework to model a Composite Transit Dependency Index (CTDI) that incorporates various Transit-Dependent groups. The application of Spatial Microsimulation in this research helps better identify intersecting demographic groups that contribute to the overall Transit Dependency of an area. By performing Multivariate Linear Regression, the TDIs are also found to be able to predict the number of outbound trips of a census tract to some level of extent. And the results of the regression can be used into forming the Composite Transit Dependency Index.

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Calculating Change in Regional Accessibility Due to Autonomous Vehicles

2018-08 , Anand, Spandana

The following project tries to answer the question “How will autonomous vehicles affect growth in the Metro Atlanta region?” We attempt to do this through calculating how accessibility will change based on traffic conditions. We also determine how it compares to the predicted population/employment growth by the Atlanta Regional Commission and the kind of land use patterns that are present in those regions.

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Extending homeownership opportunities to prospective borrowers burdened by student loan debt

2018-07 , Agnew, Darian T.

Since 2006, Student loan debt has ranked second in national consumer debt, falling second only behind household debt and exceeding debt from auto loans and credit cards (Federal Reserve Bank of New York, 2018). While there are many negative and significant outcomes related to exorbitant student loan debt that are of concern to policy makers and other stakeholders, the focus of this applied research is on access to homeownership. Few policies and programs exist which directly address this seemingly causal link between student loan debt burden and homeownership. On the federal level, a recent initiative has been implemented by Fannie Mae, one of the major insurers of conventional loans and available in every state and most localities nationwide, to directly address this issue. The Student Loan Solutions Program seeks to address barriers to mortgage loan application approval for those with significant student loan debt burden. This applied research study seeks to explore the effectiveness of this policy, providing an assessment of its capacity to meet the needs of the target population. This study seeks to explore and describe the suitability of current policy and programming in increasing access to homeownership for prospective borrowers burdened by student loan debt. Specifically, this study will explore how well current policy and programming mitigate barriers faced by prospective borrowers burdened by student loan debt in obtaining debt financing toward the purchase of a primary residential property. The results highlight salient themes related to this broad area. From the literature review and data analysis, it follows that generational effects, racial equity, credit history, and debt-to-income ratio calculations stand out most.

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