Nodal intensification strategy : evaluation of an analytical model in metropolitan Cape Town

Morojele, N. I. (2005-12)

Thesis (MSc (Geography and Environmental Studies))--University of Stellenbosch, 2005.


The morphological form of South African cities is deemed inefficient and fragmented. Much of the current structure has been shaped by i) the political history of the country, with major influences from the colonial and apartheid eras; and ii) suburban sprawl influenced by the use of private vehicles. This presents obstacles to the sustainable and equitable development of our cities. Since the 1990s, efforts have been made to change the development of the country in order to accommodate previously disenfranchised communities through processes of reconstruction and development. Among these efforts are policies and frameworks aimed at guiding the development and growth of cities. Among the many approaches that have been identified are land use strategies, with the central focus of promoting densification and intensification of urban development. Emphasis on densification in certain public transport corridors and decentralised nodes are in general regarded as urban restructuring elements necessary to transform South African cities into efficient and sustainable areas. However, analytical tools that can explore the possibilities and limits of public transport-orientated development are scarce at present. The University of Utrecht in the Netherlands has developed an analytical model referred to as the node-place model, which can be used to profile nodes and to determine their (re)development potential. This study makes a contribution towards efforts to support the densification concept in general and nodal intensification in particular by applying the node-place model to a selection of railway stations in the Cape Town metropolitan area in order to identify appropriate land use developments to enhance their potential. The model was found to be a useful mechanism for comparing nodes within a transport system for purposes of informing decisions regarding how the nodes should be developed. However, the model requires more accurate and disaggregated data than is generally available for the Cape Town area.

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