Authors: Jiaxu Fang*, Georgia Institute of Technology, Shuang Xi*, Georgia Institute of Technology
Topics: Urban and Regional Planning, Planning Geography, Remote Sensing
Keywords: Gentrification,Remote Sensing, Socioeconomic GIS
Session Type: Poster
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download
This research focuses on providing a new approach for understanding and prediction of gentrification process in Downtown Atlanta. Method applied in this project can help city planners to achieve an insight review of gentrification through landscape changes and a more accurate identification of locations that is likely to be gentrified in near future by combining socioeconomic GIS data and remote sensing techniques. This method first applies population, median household income, median home value, and level of educational attainment from 2008 to 2014 of a certain census tract to evaluate the condition of gentrification from a socioeconomic prespective. Census tracts are first tested if they are qualified to be gentrified. Census tract eligible to gentrification are then determined to be gentrified over the time period from 2008 to 2014 if there are sharp increases in percentage of people holding bachelor’s degree, median household income and median home value within its boundary. Then, satellite images from 2008 to 2014 of Downtown Atlanta are obtained. These images are used as input of change detection process. Those kinds of land cover changes that lead to gentrification are extracted. This method is able to combine changes of socioeconomic factors and changes of landscape to represent the nature of gentrification in Atlanta. Our method can support the planning effort of urban government.