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Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa

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dc.contributor.author Green, Chéri A
dc.contributor.author Mans, Gerbrand G
dc.contributor.author Ngidi, Mawande S
dc.contributor.author Sogoni, Zukisa
dc.contributor.author Maritz, Johan
dc.date.accessioned 2017-10-18T07:34:36Z
dc.date.available 2017-10-18T07:34:36Z
dc.date.issued 2016-09
dc.identifier.citation Green, C.A., Mans, G.G., Ngidi, M.S. Sogoni, Z. and Maritz, J. 2016. Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa. In: 52nd ISOCARP Congress Recap Part 2, Durban, 12-16 September 2016 en_US
dc.identifier.uri https://isocarp.org/app/uploads/2016/09/Congress-Papers.pdf
dc.identifier.uri http://hdl.handle.net/10204/9684
dc.description 52nd ISOCARP Congress Recap Part 2, Durban, 12-16 September 2016 en_US
dc.description.abstract In the search for greater equity, spatial justice and efficiency of service delivery, the concepts of central place, agglomeration, and accessibility together with GIS principles of catchment analysis were applied to develop service catchments for social facility provision. A geo-spatially targeted hierarchy of places was also identified to prioritise investment of regional middle order facilities in “Service Malls” located in the most optimal towns to best serve non-metropolitan areas in South Africa. This paper outlines the background, principles and process applied. Delivery of social services in rural South Africa remains a major challenge twenty years after the demise of apartheid. Challenges include the poor planning and allocation of facilities; processes which are vulnerable to politically based decisionmaking. The identification and profiling of service catchments seeks to support more structured and equitable allocation of resources. The identification of prioritised town points to enable targeted social facility investment for allocation of the middle-order social facilities in nonmetro areas aims will achieve more spatially balanced, sustainable and efficient allocation of services which meets the needs of both users and service providers and serves the largest number of people from the least number of service points within the principles of equity, government policy and fairness can be achieved. The catchments and priortitation form part of a larger research project focused on the consolidation and differentiation of provision standards to guide social facility development and investment in mainly rural areas. A pivotal aspect of the project was the development of a spatial framework for differentiating service catchment types in South Africa. To this end, the entire country was demarcated into service catchment areas based on the principles of accessibility and each service catchment was analysed and profiled in terms of a range of variables. A key finding was that if a spatially targeted investment strategy was used for locating middle-order services at a maximum travel distance of 30km (or 50km in sparsely populated areas), it can halve the number of potential service points required while still providing services, within acceptable travel distances, to over 90% of all citizens. This could have a major impact on the rationalisation of services and the more efficient allocation of resources to provide the greatest investment returns and impact, potentially allowing for a greater emphasis on quality and operational efficiency in social services provision. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;18024
dc.relation.ispartofseries Workflow;18101
dc.subject Spatial justice en_US
dc.subject Service delivery en_US
dc.subject Geographic Information Systems en_US
dc.subject GIS en_US
dc.subject Catchment analysis en_US
dc.subject Social facilities en_US
dc.title Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Green, C. A., Mans, G. G., Ngidi, M. S., Sogoni, Z., & Maritz, J. (2016). Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa. http://hdl.handle.net/10204/9684 en_ZA
dc.identifier.chicagocitation Green, Cheri A, Gerbrand G Mans, Mawande S Ngidi, Zukisa Sogoni, and Johan Maritz. "Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa." (2016): http://hdl.handle.net/10204/9684 en_ZA
dc.identifier.vancouvercitation Green CA, Mans GG, Ngidi MS, Sogoni Z, Maritz J, Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa; 2016. http://hdl.handle.net/10204/9684 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Green, Cheri A AU - Mans, Gerbrand G AU - Ngidi, Mawande S AU - Sogoni, Zukisa AU - Maritz, Johan AB - In the search for greater equity, spatial justice and efficiency of service delivery, the concepts of central place, agglomeration, and accessibility together with GIS principles of catchment analysis were applied to develop service catchments for social facility provision. A geo-spatially targeted hierarchy of places was also identified to prioritise investment of regional middle order facilities in “Service Malls” located in the most optimal towns to best serve non-metropolitan areas in South Africa. This paper outlines the background, principles and process applied. Delivery of social services in rural South Africa remains a major challenge twenty years after the demise of apartheid. Challenges include the poor planning and allocation of facilities; processes which are vulnerable to politically based decisionmaking. The identification and profiling of service catchments seeks to support more structured and equitable allocation of resources. The identification of prioritised town points to enable targeted social facility investment for allocation of the middle-order social facilities in nonmetro areas aims will achieve more spatially balanced, sustainable and efficient allocation of services which meets the needs of both users and service providers and serves the largest number of people from the least number of service points within the principles of equity, government policy and fairness can be achieved. The catchments and priortitation form part of a larger research project focused on the consolidation and differentiation of provision standards to guide social facility development and investment in mainly rural areas. A pivotal aspect of the project was the development of a spatial framework for differentiating service catchment types in South Africa. To this end, the entire country was demarcated into service catchment areas based on the principles of accessibility and each service catchment was analysed and profiled in terms of a range of variables. A key finding was that if a spatially targeted investment strategy was used for locating middle-order services at a maximum travel distance of 30km (or 50km in sparsely populated areas), it can halve the number of potential service points required while still providing services, within acceptable travel distances, to over 90% of all citizens. This could have a major impact on the rationalisation of services and the more efficient allocation of resources to provide the greatest investment returns and impact, potentially allowing for a greater emphasis on quality and operational efficiency in social services provision. DA - 2016-09 DB - ResearchSpace DP - CSIR KW - Spatial justice KW - Service delivery KW - Geographic Information Systems KW - GIS KW - Catchment analysis KW - Social facilities LK - https://researchspace.csir.co.za PY - 2016 T1 - Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa TI - Using catchment areas analysis and GIS based spatial analysis for prioritising spatial investment in non-metro South Africa UR - http://hdl.handle.net/10204/9684 ER - en_ZA


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