Keywords
Population Modeling, Urban Parcels, Urban Growth
Start Date
28-6-2018 10:40 AM
End Date
28-6-2018 12:00 PM
Abstract
Urban population growth is expected to continue into the 21st century, bringing about drastic changes to urban landscapes across the globe. Our particular focus is to understand and evaluate urban growth patterns through parcel splitting in the Oklahoma City Metropolitan Area (OKCMA). To this end, we present the background and methodology used to develop the absent land parcel history information in the OKCMA using parcel data from the previous two years. OKCMA multiyear parcel data does not align spatially due to shifts and distortions. We developed a method to identify parent:child parcel relationships using their attribute and geometry information. This method generates two sets of indicators by searching the neighbors of each child parcel to find the most likely parent parcel and by extracting area portions of intersecting parcels. The algorithm performed well based on our initial test results, however, large-scale performance would depend on the quality of the underlying geometry and attribute information. We observe that while the current parcel data of OKCMA is useful, it is not sufficient to extract an accurate representation of parcel history or provide discussion of suggested data management practices. Based on our limited test results, our method successfully provides a historical ledger that can be used as a decision making tool for managing and enhancing multiyear parcel information.
Automated Urban Parcel Ledger Generation to Track Spatiotemporal Parcel Dynamics
Urban population growth is expected to continue into the 21st century, bringing about drastic changes to urban landscapes across the globe. Our particular focus is to understand and evaluate urban growth patterns through parcel splitting in the Oklahoma City Metropolitan Area (OKCMA). To this end, we present the background and methodology used to develop the absent land parcel history information in the OKCMA using parcel data from the previous two years. OKCMA multiyear parcel data does not align spatially due to shifts and distortions. We developed a method to identify parent:child parcel relationships using their attribute and geometry information. This method generates two sets of indicators by searching the neighbors of each child parcel to find the most likely parent parcel and by extracting area portions of intersecting parcels. The algorithm performed well based on our initial test results, however, large-scale performance would depend on the quality of the underlying geometry and attribute information. We observe that while the current parcel data of OKCMA is useful, it is not sufficient to extract an accurate representation of parcel history or provide discussion of suggested data management practices. Based on our limited test results, our method successfully provides a historical ledger that can be used as a decision making tool for managing and enhancing multiyear parcel information.
Stream and Session
Stream C: Integrated Social, Economic, Ecological, and Infrastructural Modeling
C7: Integrated Modelling of Urban Ecosystems