The huge housing backlog that plagues South Africa requires concerted effort to develop capacity for low-income delivery systems that will improve the socioeconomic conditions of low-income people. Social housing, and housing associations in particular are recent housing delivery systems that promise to meet the needs of low-income people in South Africa. It is the intention of this research to investigate to what extent housing associations can improve housing delivery and improve the socio-economic conditions of low-income people. The literature review provides information on national experience in housing delivery. It investigates the difficulties of housing provision and how delivery fails to meet the needs of low-income people in South Africa. An international model of housing associations is used to provide an alternative form of delivery that may assist in reducing the backlog. The research uses integrated development as a framework for housing delivery. This paradigm advocates mixed landuse, and mixed income housing. Thus, it a move against 'housing in the veld" and 'one house one plot' delivery, and encourages housing delivery that is integrated with other functions within the inner city. Two examples of Johannesburg's inner city housing associations, namely Navarone and Jeppe Oval are used as case studies. These two case studies suit an integrated development approach. The survey includes a sample of 30 people from the two housing associations. Data analysis of the socio-economic issues and responses of tenants suggests that housing associations provide better living conditions and therefore a viable option for housing delivery in inner city areas of South Africa. / Thesis (M.Sc.U.R.P.)-University of Natal, Durban, 1998.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/2497 |
Date | January 1998 |
Creators | Legodi, Tshepo Victor. |
Contributors | Robinson, Peter Spencer. |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Thesis |
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