Presentation Type
Poster
Location
Schimmel/Conrades Science Center Atrium
Start Date
25-4-2019 6:00 PM
End Date
25-4-2019 7:00 PM
Disciplines
Urban Studies
Keywords
urban sprawl, Urban Theory
Abstract
Researching urban growth can show historical patterns and trends in regards to urban expansion, rates of in-filling, and economic development. This work seeks to quantify the growth of the Columbus Metropolitan Area over a multi-decadal period by using geospatial and demographic data to evaluate differences in urban growth patterns. This work develops an ~30-year assessment, beginning in the mid-1980s to present, at five-year intervals to quantitatively and qualitatively compare expansion linked to development and economic growth. This work relies on remote sensing imagery acquired from the various Landsat missions Landsat-4 through Landsat-7 ETM) along with GIS census data, to allow for an unbiased assessment of trends in spatial distribution over time. This comparative analysis shows a correlation between demographic and urban growth in various neighborhoods within the Columbus area. Various classes of infill development also vary based on demographics and location. By documenting these trends in infill development, it becomes possible to identify possible future priorities for individual communities, which would then directly influence patterns of urban growth.
Project Origin
Other
Faculty Mentor
Nathan Amador Rowley
Included in
Assessment of urban expansion: A case study of Columbus, Ohio
Schimmel/Conrades Science Center Atrium
Researching urban growth can show historical patterns and trends in regards to urban expansion, rates of in-filling, and economic development. This work seeks to quantify the growth of the Columbus Metropolitan Area over a multi-decadal period by using geospatial and demographic data to evaluate differences in urban growth patterns. This work develops an ~30-year assessment, beginning in the mid-1980s to present, at five-year intervals to quantitatively and qualitatively compare expansion linked to development and economic growth. This work relies on remote sensing imagery acquired from the various Landsat missions Landsat-4 through Landsat-7 ETM) along with GIS census data, to allow for an unbiased assessment of trends in spatial distribution over time. This comparative analysis shows a correlation between demographic and urban growth in various neighborhoods within the Columbus area. Various classes of infill development also vary based on demographics and location. By documenting these trends in infill development, it becomes possible to identify possible future priorities for individual communities, which would then directly influence patterns of urban growth.