1. GIS and Decision Making: The key to Durban’s challenges

2. EThekwini Municipality 2297 square kilometers Population: ~ 3 500 000 House holds: ~ 800 000 Informal Dwellings: ~ 235 000 Formal Households: ~ 600 000 Employees: ~ 18 000 Watermains: ~ 11354.367 km 11175.646 km street network Internal and external customers Desktop and web GIS environments ~125 GIS data sets

3. The question is: Is the GIS used to help make decisions, or is it used to justify decisions made for many other reasons? Easy access to information

4. "Knowing where things are and why it is there, is essential to rational decision making" Geographic Information System Planning Data Collection/ Analysis Service Provision Revenue Collection Monitoring & Evaluation

5. Our GIS Strategy To make best use of information and communications technology to support integrated systems and sharing of municipal information To ensure appropriate organisational infrastructure to support the vision and objectives of our IDP and ICT strategy To ensure that interested and affected individuals and our Service Centers have the information they require to enable them to make informed decisions To ensure that appropriate information to underpin decisions for improving provision of our services is available.

6. Our Uses of a GIS A Management tool in all aspects of infrastructure management Planning and Monitoring A visualisation tool for improved identification Environment of seamless, paperless interaction between departments Improved property information management and analyses Improved efficiency as data is made centrally available via an integrated GIS infrastructure Improved business processes and better decision making

7. Directs our corporate Geographic Information Systems policy and provide spatial information and support to all users within eThekwini Municipal area in order to facilitate informed decision making and enable users to achieve their objectives Our Central Hub Corporate GIS

8. Special Consent Decisions Spatially Captured

9. Decisions on Subdivisions Spatially Captured

10. AREAS COVERED BY A FORMALISED SCHEME

11. Existing Scheme ‘District’ Map

12. Zoning Maps and Scheme Controls

13. Land Use

14. ZoningLand Use

15. Environmental Management

16. Knowing Our Consumers Informal Settlements Formal Settlements

17. ETHEKWINI MUNICIPALITY APPROVED SPATIAL DEVELOPMENT PLANS 2011 GIS METHODOLOGY Income Levels 1:15000 A0 maps with the MrSid Images (Aerial Photography), Cadastral, Future Residential Income, Informal Settlements and the 5 Year Housing Projects were plotted for the Framework Planning Staff to use to identify proposed housing developments in the North Spatial Development Plan. The Future Residential Income shapefile was copied and renamed to Future Residential Income Levels. A field called Income Level and Name was added to the attribute table. Planning Units The Planning Units in the North Spatial Development Plan identified by the Framework Planning Staff were classified as Low, Low to Medium, Medium and High (R. Dyer, email dated 7 May 2008). These income levels were added to the attribute table. Informal Settlements and 5 Year Housing Projects Proposed residential developments was digitized in the Future Residential Income Levels, using the Informal Settlements and the 5 Year Housing Projects as a base layer in the North Spatial Development Plan identified by the Framework Planning Staff were classified as Low, Low to Medium, Medium, Medium and High (R. Dyer, email dated 7 May 2008). AGRICULTURE Fazal Ebrahim used the Bioresource Research Program to identify agriculture areas for the SDP's in 2009. Fazal Ebrahim, A Nansook, A. Zungu, F. Ngcobo and K. Singh met with Dept of Agriculture, Brent Forbes in February 2009 at Cedara and Brent Forbes confirmed that the SDP Agriculture areas aligns with Dept of Agriculture. The SDP data and documents were hand delivered to the various provincial departments in October 2009. No comments were received. Fazal obtained an updated version of the BRU in 2010. Piers Whitwell confirmed that no changes were made to the data. In February 2011 second set of SDP data and documents was given to the various Provincial Depts. No comments.

18. ETHEKWINI MUNICIPALITY SPATIAL DEVELOPMENT PLANS 2011 SDP LAND USE CATEGORIES INCOME INCOME LEVEL LOW R 120 000.00 LOW TO MEDIUM R 120 000.00 – R 450 000.00 MEDIUM R 450 000.00 – R 1 000 000.00 MEDIUM TO HIGH R 1 000 000.00 – R 2 000 000.00

19. ETHEKWINI MUNICIPALITY SPATIAL DEVELOPMENT PLANS 2011 SDP LAND USE CATEGORIES Field NameDescription GIS_IDA unique ID for the polygon used during calculations AREA_HAArea of the polygon in hectares LU_PROPThe ultimate landuse of the polygon UNIT_TYPE The type of unit used for infrastructure loading calculations, e.g. dwelling units for residential and hectares for commercial Not that landuse type MIXED USE has both dwelling units and hectares DENS_PROPThe ultimate dwelling unit density of the polygon DEVELOPABL The proportion of land (as a percentage) within the polygon that can be developed. Oversteep areas (slope > 1:3), 100 year floodplains, major road reserves and railway reserves have been considered. Note: the area of local roads, i.e. 25-30% of the polygon has not been included in this figure, but has rather been accommodated in the density number. DEV_EXISTThe current proportion of developable land (as a percentage) within the polygon that can be developed. ULT_DU The calculated ultimate number of dwelling units in the residential landuse polygons given the polygon areas, developable land and ultimate densities. ULT_HA The calculated ultimate number of developed hectares in the non-residential landuse polygons given the polygon areas, developable land and ultimate densities. INCOMEThe anticipated income categories for residents of residential polygons. PHASINGThe anticipated development date of the polygon. LU_DETAILSMiscellaneous details on landuse. COMMENTSBrendan Magill comments for consideration by Planning Unit.

20. ETHEKWINI MUNICIPALITY SPATIAL DEVELOPMENT PLANS 2011 SDP LAND USE CATEGORIES FIELD NAMETYPEWIDTHDECIMALDESCRIPTION DevelopableNumeric50The developable area of the polygon (as a % of the polygon) Dev_ExistNumeric50The percentage of the polygon developed (as a % of the developable area) LU_DetailsString25 If applicable LU_ExistString25 If applicable LU_PropString25 The ultimate landuse of the polygon Dens_ExNumeric51A single figure shows existing densities Dens_PropNumeric51A single figure that can be used to calculate ultimate number of units in the polygon Units_UltNumeric50The calculated proposed number of dwellings in the polygon IncomeString25 High, Medium to High, Medium and Low PhasingString12 Timing 2010

21. ETHEKWINI MUNICIPALITY APPROVED SPATIAL DEVELOPMENT PLANS 2011 North SDP South SDP

22. ETHEKWINI MUNICIPALITY SPATIAL DEVELOPMENT FRAMEWORK 2012

23. ETHEKWINI MUNICIPALITY APPROVED SPATIAL DEVELOPMENT PLANS 2011 Central SDP North South SDP

24. ETHEKWINI MUNICIPALITY SPATIAL DEVELOPMENT FRAMEWORK 2012

25. Wards & Councilor Details

26. Electricity Network Electricity

27. Watermains and fittings

28. Internet as means to providing public information

29. Today’s decision needs to be information driven Our systems and tools needs to contribute towards fulfilling the objectives of the IDPs Geographic information should be the bases for monitoring, evaluation systems and performance management Conclusions

30. The eThekwini Municipality Thanks You!! www.durban.gov.za 19 September 2012