UWT Forum 2012: Urban Industrial Futures
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Presentation given at the University of Washington Tacoma in Spring 2012. This forum was sponsored by the Urban Studies department of UWT, titled "Urban Industrial Futures".
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UWT Forum 2012: Urban Industrial Futures
- 1. Future Employment Opportunities in De- Industrialized Neighborhoods of Low SES in Tacoma, WA Natasha Boyde
- 2. Distressed Neighborhoods Concentrated poverty and low SES Little access to employment Find vacant parcels within these areas to create jobs
- 3. Socioeconomic Status (SES) An individual’s social position based on a number of factors in addition to poverty and income. Index Variables: Race Poverty Linguistic Isolation Education Single mother households Unemployment Kitchen & Plumbing facilities
- 5. Service Areas Bike Time: 10 minutes Walk Times: 10, 15, 20 minutes
- 9. Results Lowest SES neighborhoods: Hilltop & Salishan Several vacant parcels in Hilltop Not many vacant parcels in Salishan Many under-utilized parcels in Salishan, mainly Industrially zoned
- 10. Results Lowest SES neighborhoods: Hilltop & Salishan Several vacant parcels in Hilltop Not many vacant parcels in Salishan Many under-utilized parcels in Salishan, mainly Industrially zoned
Editor's Notes
- Embracing idea of New Urbanism (later)
- First created my map with census data: Counties clipped down to Pierce, Block Groups clipped down to Pierce, and then clipped all to TacBasemap.
- TacBikeNetwork, TacWalkNetwork. 10 Random Start points.
- The 0 and 1 method made it easier to select Vacant Commercial, and Vacant Industrial parcels because there were many name variations within Commercial and Industrial. Turned Service Areas into Polygons by exporting the data
- The 0 and 1 method made it easier to select Vacant Commercial, and Vacant Industrial parcels because there were many name variations within Commercial and Industrial. Turned Service Areas into Polygons by exporting the data
- The 0 and 1 method made it easier to select Vacant Commercial, and Vacant Industrial parcels because there were many name variations within Commercial and Industrial. Turned Service Areas into Polygons by exporting the data
- Industrially zoned areas used otherwise. 1 & 2 are residential-part of a major housing project, nationally award-winning. 3-restaurants, bars, gas station, motel