MIXED GEOSPATIAL METHODS BASELINE STUDY TO EVALUATE AND MODEL GENTRIFICATION ALONG THE WESTSIDE ATLANTA BELTLINE, USA
- 1Center for Geospatial Research (CGR), Department of Geography, University of Georgia, Athens, GA 30602, USA
- 2United States Department of Agriculture (USDA) Forest Service, Southern Research Station, Athens, Georgia, 30602, USA
Keywords: Agent Based Modeling, Sentinal-2 MSI, Atlanta, Survey, Greenspace, Southeastern United States
Abstract. There is a need for sustainable infrastructure planning that includes environmental, social, economic, and transportation management consideration. A portion of a former railway corridor around Atlanta, Georgia was converted to a multi-use trail called the Atlanta BeltLine to provide walking and bicycling access to businesses and homes. Although the pedestrian-transit trail brings renewed development and services, it also triggers increases in home values and displaces existing communities. This study uses remote sensing and geospatial analysis to focus on changes in the structural conditions of housing along the Westside segment of the Atlanta BeltLine. The first segment of the Beltline, the Eastside Trail completed in 2007, demonstrated an alarming influx of development. Increases in property values opened the doors for private investors to purchase properties and open new businesses in communities adjacent to the BeltLine. The proposed Westside segment of the BeltLine has raised concerns by community members who fear the impacts of gentrification. An assessment of housing conditions was conducted by researchers ranking the structural conditions of homes adjacent to the Westside BeltLine. To conduct an estimate of green spaces along both segments of BeltLines, Sentinel-2 Earth Observation Satellite was used to calculate the percentage of green spaces in. A preliminary concept agent-based simulation model (ABM) is being developed to forecast human movement and housing condition around the BeltLine. Combined, the housing survey, green space inventory, and ABM model provides a baseline method to record and identify social and the environmental impacts.