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GENERIC STEP-BY-STEP APPROACH STEP THREE

Note that optimal sites might not be identified in some areas, particularly where the access distance
standards and population thresholds of service points could not be met. In other words, sites for facilities
will not be identified where population figures fall below the minimum population threshold for the
establishment of a service point. In such instances, you should consider other ways in which access
to your services can be improved; for instance, by deploying mobile services, strategies to transport
beneficiaries to service points, and using the Internet and available digital technologies.
Brownfield’s approach

Unlike the Greenfields approach, the Brownfield’s analysis accepts the current location of all existing
service points while determining the minimum number of additional locations that would be required to
achieve full population coverage or to increase accessibility to a set population percentage in the study
area. Otherwise the Brownfield’s analysis is implemented in exactly the same manner as the Greenfield’s
analysis.

Figure 25 illustrates a hypothetical example using the Brownfield’s approach in determining the optimal
location of schools in Umzinyathi District Municipality. The location of existing and potential sites for
primary schools can be seen. Existing schools, represented by small dots, located at Mandlethu,
Seluleni and Mahlaba will be selected by the software as they are already located at, or close to,
optimal sites. Other schools located close to optimal sites would also be retained. However, existing
schools not located optimally will not be selected and other optimal sites would still be identified for
the construction of new schools.

Figure 25: Example of the use of the Brownfield’s approach in Umzinyathi District Municipality (2009)

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