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Comprehensive Neighborhood Accessibility Analysis using GIS for Water Resources Management

This study focuses on utilizing GIS for spatial analysis to enhance neighborhood accessibility to water resources. Demographic data from sources like City of Austin and Texas Department of Aging are used to create accessibility indices. Different methodologies including gravity-based models and random utility theory are applied to evaluate access to health facilities and other amenities.

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Comprehensive Neighborhood Accessibility Analysis using GIS for Water Resources Management

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  1. Spatial analysis for neighborhood accessibility GIS Water Resources Anna Okola

  2. Background • Demographic data useful and necessary part of transportation analysis and planning • Transportation – service provision Accessibility • BTS - it is fundamentally concerned with the opportunity that an individual at a given location possesses to participate in a particular activity or set of activities

  3. Demographic Profile

  4. Demographic Profile

  5. Data Sources • City of Austin (ftp site) • Texas State Data Center • Texas Department on Aging • Texas Department of Health

  6. 2000 Census Data

  7. 1990 Census Data

  8. 2000 Density, Sub-groups

  9. Land Use Patterns • Austin is a ‘residential’ city – almost 50% of developed land • 5% commercial & office space combined • 5% industrial • In 1990, about 80% of Austin was undeveloped, while 57% of developed land was residential. • Increase in industrial sector (1990 -

  10. 2000 City Land Use Survey

  11. City Population Density, ’90, ‘00

  12. NURSING HOME EMS H HOSPITAL H HEALTH CLINIC Access to Health Facilities

  13. Dynamic Query in GIS

  14. Availability of Sidewalks

  15. Neighborhood Study

  16. North University Neighborhood

  17. Methodologies • Handy, • three methods for analysis • Cumulative opportunities • Gravity based models • Random utility theory Result - accessibility index

  18. Summary • Presented visual respresentation of demographic data • Use of GIS for inventory purposes, to capture resource gaps • Future work - to include zone specific data to enable detailed analysis Questions ?

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