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Lab 6

Route & Service Area Analysis of Tacoma, WA

ArcGIS Tools + Method

  • Downloaded data from the Washington Department of Health for WIC Retailers, EMS Fire Stations and Residential Treatment Facilities.

  • Created a Network Dataset in preparation to perform various network analyses.

  • Created two sets of service areas using only drive time and walk time as the parameters.

  • The first service area analysis constituted all regions of Tacoma that are within a 1, 5, and 10 minute drive of a fire station (Bottom Left). Yellow represents Drive time in 1 mins, Green represents 5 minutes and Grey on the outer edges represents 10 minutes.

  • The map clearly shows that majority of Tacoma is accesible within 5 minutes of drive time. 

 

  • The second service area analysis constituted all regions of Tacoma that are within 1, 5, and 10 minute walk of a WIC retailer (Top Right). 

  • WIC Retailers are the stores is suported by federal assistance program of the Food and Nutrition Service of the United States Department of Agriculture for healthcare.

  • Yellow represents Walk time in 1 mins, Green represents 5 minutes and Grey on the outer edges represents 10 minutes.

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  • Third service area analysis constituded all regions of Tacoma that are within 1, 5, and 10 minute walk of a Residential Treatment Centers (Top Left).  These points represent the locations of drug and alcohol treatment centers in Washington.

  • For the next analysis, Network Analyst and other spatial analysis techniques were combined to test our hypothsis that these Residential Treatment Centers tend to be located in lower value neighborhoods.

  • Taxable values of single family homes within each of these ranges examined by using Select by attributes & Locations. 

  • Then created the shortest (using time as our factor) route for a delivery truck to drop produce off at 5 different WIC Retailer locations (Bottom Right) by using Route analysis among multiple destinations.

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Avi Rana

 

 

 

University of Washington, Tacoma

GIS Portfolio

Contact:

(206) 856-9355

yay4avi@uw.edu

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