Master's Projects

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Master's Projects

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Now showing 1 - 10 of 11

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

(Georgia Institute of Technology, 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.
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?

(Georgia Institute of Technology, 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.
Highways, Urban renewal, and patterns in the Built Environment: Exploring Impacts on Atlanta Neighborhoods

(Georgia Institute of Technology, 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.
Calculating Change in Regional Accessibility Due to Autonomous Vehicles

(Georgia Institute of Technology, 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.
Economic Shifts Along the US-Mexico Border: Investigating the Changes in Location Quotient at the Block Level in Four US Border

(Georgia Institute of Technology, 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.
Ethnic Communities and Economic Sustainability

(Georgia Institute of Technology, 2016) Blaut, Avraham

This paper sets out to examine the relationship between economically sustainable places and ethnic communities. Using simple and easily repeated GIS processing, we examined if on a citywide scale ethnic communities were located in economically sustainable areas. The ever changing nature of sustainability combined with the struggles to establish broader sustainability context has limited the fined grained comparisons between sustainable economics and ethnic communities. The research questions were tackled by using modified version of a previously established economic sustainability index and overlaying that with an all generalized ethnic community classification system at the census tract level, a very pinpoint level of analysis. Classifying ethnic communities through based on percent of ethnic groups varied based on proximity to city center compared to an economic sustainability index composed of factors that address economic success and economic diversity. Results show a negative relationship between ethnic communities and sustainable economies.
Using SLAMM to Better Understand Sea Level Rise on the Francis Marion National Forest

(Georgia Institute of Technology, 2016) Leitz, Chelsea

This paper uses SLAMM & Satellite Imagery to better understand the influence of sea-level rise on ecosystems.
A Future Energy Harvesting Scenario for Georgia Tech Campus Using Photovoltaic Solar Panels And Piezoelectric Materials

(Georgia Institute of Technology, 2016) Huang, Xiao

This paper discusses harvesting solar and piezo energy and uses GIS analysis for site-selection on the Georgia Tech campus.
Supporting Cancer Prevention Strategies Using Geospatial Analysis on HRSA data

(Georgia Institute of Technology, 2016) Rao, Arthi

This paper uses develops a methodology to geospatially analyze factors associated with disparities in cancer rates.
Using GIS and Python for Assessment and Prioritization of Potential Transit Projects

(Georgia Institute of Technology, 2016) Main, Eric V.

This project attempts to test the use of a combination of GIS and Python to assess and prioritize potential transit projects.