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Seattle Monorail Impact Project

Seattle Monorail Impact Project. A GIS Study on Impacts of the New Seattle Monorail. By: Wiley Coffin, Kyle Crass, Kyle Freeman, Ken Hunziker, Tony Marti. Project Goals. Use GIS to create digital map of proposed monorail project Link GIS map to census data for public impact analysis

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Seattle Monorail Impact Project

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  1. Seattle Monorail Impact Project A GIS Study on Impacts of the New Seattle Monorail By: Wiley Coffin, Kyle Crass, Kyle Freeman, Ken Hunziker, Tony Marti

  2. Project Goals • Use GIS to create digital map of proposed monorail project • Link GIS map to census data for public impact analysis • Analyze impact of project on residents near and on proposed monorail route

  3. Using GIS to Create Digital Map of Proposed Monorail Project • Find data sources: • www.wagda.lib.washington.edu • Download appropriate shape files for city of Seattle: Street network, Building outlines, City outline, Shoreline • Import sources into GIS and overlay shape files • Create new shape files of proposed monorail route and station locations • Create shape files in ArcCatalog • Digitize route and station location in ArcMap • Overlay new shape files into ArcMap

  4. Link GIS Map to Census Data for Public Impact Analysis • Download census data from ESRI website and add to ArcMap • King County Census 2000 blocks shapefile and attribute data • Integrate city of Seattle data with King County Census data • Specify City of Seattle data coordinate system • Overlay Census data onto our monorail map • Join attribute table of census data and census block attribute table

  5. Analyze Impact on Residents Near and on Proposed Monorail Route • Create multiple buffers around stations and route • Station Buffers-1km total donut buffer around each station • Route Buffers-250m buffer on each side of route

  6. Analyze Impact on Residents Near and on Proposed Monorail Route • Use Census2000 block data to analyze its spatial relationship to the buffers • Select by Location • Statistics to find sum of population within parameters

  7. Results • Positively affected people • 81,000 individuals living in buffer zones • Negatively affected people • 18,000 individuals living in buffer zone • Negatively affected are also Positively affected • Further information for different population demographics can be determined from this data

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