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Austin, Tx

Austin, Tx. An Analysis of growth and driving factors. Research goals . -Model some driving factors of development for the city -Employment -Residence -Geographical: slope -Land prices -Service areas of Technology Industry. Austin’s abnormal growth .

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Austin, Tx

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  1. Austin, Tx An Analysis of growth and driving factors

  2. Research goals • -Model some driving factors of development for the city • -Employment • -Residence • -Geographical: slope • -Land prices • -Service areas of Technology Industry

  3. Austin’s abnormal growth • -- Part of the Sunbelt region of the Southern US • - this was the fastest growing area in form 1970-1980 • -- Traditionally has grown along with the technology industry • -- Rated 8th fastest growing metropolitan areas by CNBC • -2007 growth of 4.5% • -Population of 1,598, 161 in 2007 with addition of 65,800 • -- Proximity to other cities: Dallas, Houston, San Antonio • -- Business Climate • -Favorable tax structure • -Labor Laws • -State government favors business Source: http://www.cnbc.com/id/23846249/?photo=4

  4. Austin’s centers of employment • -- founded for state government central location • -provided a stable economy for growth • -state government jobs = 19% of labor in the city • -- Historically, no deep water transportation for heavily polluting industries such as petrochemicals, refining, chemicals, or steel • -The Chamber of Commerce recruited less-polluting industries • -Has led to quality business without growth restrains of socially unacceptable activities • -more demand to live and work here, quality of life • --has emerged as center for technology business and manufacturing • --besides governmental jobs, most main top employers are part of the technology sector Source: Lyndon B. Johnson School of Public Health - Policy Study of Austin

  5. Data – led on the map • --U. S. Census Bureau data • --Interface for Longitudinal Employment Data: http://lehdmap4.did.census.gov/themap4/ • --can import shapefiles into ArcMap • --very confusing! • --Basic Steps • Search for place – used “Austin” and “Micropolitan/Metropolitan Areas” • Base Map with county lines, highway data, etc. • Analysis – • 1. chose either work place/home area, year (2002 and 2008), labor market segments (all workers) • 2. advanced area selection – can pair with home area or add modifications to original selection

  6. Data - LED on the map • Analysis – • 1. DATA SETTINGS - chose either work place/home area, year (2002 and 2008), labor market segments (all workers) • 2. STUDY AREA SELECTION - advanced area selection – can pair with home area or add modifications to original selection • -normal are selection – shows where people are employed who live in the selection area or vice versa • -our output maps use this • -advanced are selection – shows where people are employed who ALSO live in the same area • -can help analyze distance people travel to work place • -not shown in output maps right now, but will continue

  7. Data – led on the map • Analysis – • 3. MAP OVERLAY/REPORT options • -work area profile analysis • -Labor Shed Analysis (commute shed if chose home area) • --where workers live who are employed in the selection area • ---our output maps defined as this

  8. Output map 1 – change in job area • --imported LED shapefiles of: • 1. job area labor shed analysis from • 2002 • 2008 • 2. LED on the map gives points and thermals • --from thermal files, reclassified the raster • 1. changed density to one value • -important assumption or “liberty” taken with the data: • interested in spatial change, where jobs are being created in previously empty space or no job areas rather than increasing density in high value areas • 2. with raster calculator, subtracted 2002 data from 2008 • 3. now have a ring of job development

  9. Output map 1 – change in job area

  10. Output map 2 – change in home area • Similar to job area, but change to commute shed analysis • End up with spatial infringement of home area • Combining the 2 to compare -Can see overall rings of home development around job development

  11. Output map 2 – change in home area

  12. OUTPUT MAP 3 – HOME CHANGE AND LAND VALUE • -obvious that land value is changing as development happens • -the high land values could be areas under the highest demand • -where job and home growth is happening • -zoomed insert of boundaries and how closely the land value and prices match

  13. Output map 3 – home change and land value

  14. Output map 4 – wells and land slope • -correlation between wells and elevation • -historically development has happened along north-south corridor, and growth has occurred where slope is the lowest • -wells data shows the increasing trend of moving away from this linear form • -the areas with the highest slope are seeing the least wells drilled • -we can predict that these will be the last areas to see well development

  15. Output map 4 – wells and land slope

  16. Output map 5 - Working points interpolation • -job points, working profile density • -MAIN GIS FUNCTION = Spatial analysis • --from shape file of points, interpolated to form raster to represent density • -Shows two major concentrations of jobs • -government in center • -technology emerging to the north

  17. Output map 5 – working points Interpolation

  18. Output map 6 - Industrial accessibility • -MAJOR GIS FUNCTION: Network Analyst Service Area calculation • -major employers – selected technology industry • -represents service area according to Network Analyst • -routes shapefile used to create network database • -service area provided in terms of radial distance and roads • -want to add in bus routes and light rail line to look at accessibility for workers • -will continue with network analyst: • -add in major suburban points • -calculate best transport routes between these major residential areas outside of city center and technology employer points

  19. Output map 6 – Industrial accessibility

  20. Research conclusions • -Overall, employment has increased where technology industry has increased, and where land prices are lowest • -Residence has directly followed employment, as seen in concentric rings of output map • -Geographically, slope influences where wells can be placed which also influences urban sprawl in terms of single family homes • -Land prices are highest where there is the most spatial growth in jobs, with residential development following this • -Service areas of Technology Industry are covering those areas with the most growth in jobs and population density. The technology Industry is emerging as second concentration of jobs besides governmental. • -We will continue to model future growth regions by a transportation analysis between suburban areas and technology points with Network Analysis.

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