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ANNEXURE 2: IDENTIFYING OPTIMUM LOCATIONS

You can undertake a trade area analysis as follows:

 Obtain access to an applications database or register for service points. If these
databases or registers are unavailable you can survey beneficiaries attending service
points randomly over a period of time to identify where they live. You should then capture
the information in a spreadsheet or database.

 Geo-Code the address information of beneficiaries live using the geo-coding functionality
found in existing GIS software. Use the Statistics South Africa’s main and sub-place
GIS spatial layers of information to do the geo-coding. Such information is available from
Statistics SA. Contact details are available on the website at www.statssa.gov.za.

 Once all the records have been geo-coded, manually create boundaries around the outer pe-
rimeter of each service point indicating the areas where beneficiaries using those service
points reside. Some GIS software can create these out perimeter boundaries automatically.

 Export the data layers containing the location of the service points and their ‘trade areas’
into a Google Earth KML or KMZ file format.

 Overlay the service point and trade area layers of data in Google Earth.

 Study the areas that fall outside of the trade areas to determine whether large concentrations
of people live there. Consider the location of existing road networks and identify areas
where new service points are required.

Figure 3 illustrates where a new service point could potentially be located outside of the trade
areas of existing service points.

Figure 3: Google Earth map illustrating the use of trade area analysis to identify the possible location
of a new service point

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