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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The reconstruction and development programme: housing delivery in Disteneng Township, Limpopo Province

Modiba, Makgodu Dinah January 2017 (has links)
This research dissertation investigates the level of Reconstruction and Development Programme (RDP) housing delivery in Disteneng (Polokwane Extension 44) Township, Capricorn District: Limpopo Province. The post-apartheid South African Constitution indicates that the provision of basic services like formal housing is a basic right for all South Africans. In Limpopo Province and in particular, Disteneng (Polokwane Extension 44) Township, Capricorn District, there is still massive shortage of Reconstruction and Development Programme (RDP) housing for the poor, despite funding being made to address this need. Millions of poor families are suffering and are still living in shacks in informal settlements. There is a backlog in the provisioning of RDP housing delivery. Low cost housing projects have been identified in Limpopo Province to address the RDP housing delivery backlog. It takes time to complete RDP houses and the communities become impatient and frustrated. The quality of completed houses is often perceived to be of unacceptable standards. This study investigates the level of RDP housing delivery in Disteneng (Polokwane Extension 44) Township, Capricorn District: Limpopo Province. This study also identifies the challenges of RDP housing delivery experienced by Disteneng (Polokwane Extension 44) Township, Capricorn District: Limpopo Province. Recommendations with the view of resolving problems pertaining to Disteneng (Polokwane Extension 44) Township, Capricorn District: Limpopo Province are made. The findings from this research work identified significant challenges of RDP housing delivery experienced by Disteneng (Polokwane Extension 44) Township, Capricorn District: Limpopo Province which needs to be addressed. In its contribution, this study made recommendations with the view of resolving problems pertaining to Disteneng (Polokwane Extension 44) Township, Capricorn District: Limpopo Province. This study in conclusion, emphasizes the need to address RDP housing backlogs and ensure that RDP houses are of good quality and that the government and all South Africans have to join hands and collectively address the problems of RDP housing delivery in South Africa.
2

Investigating prospects of integrating spatial planning with disaster risk reduction in flood prone settlements of Greater Tzaneen Municipality of Limpopo Province in South Africa

Tladi, Mazwi Thapelo 18 May 2019 (has links)
MURP / Department of Urban and Regional Planning / Disaster is posing serious threats to both human lives, infrastructure and the environment at large. Greater Tzaneen Municipality (GTM) is one of the many municipalities that suffer from flood related disasters. Lack of integration between Disaster Risk Reduction (DRR) and spatial planning has compounded the disaster risk situation in the municipality. This study sought to investigate the prospects of integrating spatial planning with disaster risk reduction in flood prone areas of GTM. The study is guided by three research objectives. First, the study sought to analyse spatial planning attributes that can be valorised for DRR in flood prone areas; Secondly, it sought to analyse spatial planning factors that define vulnerability attributes of households occupying flood prone areas. Finally, the study sought to perform a cluster analytical creation of a typology of households whose resilience to flooding could be enhanced through spatial planning. Twenty-five flood prone areas were analysed on the basis of four main flood vulnerability attributes. In order to identify such vulnerability attributes, the study borrowed critical insights from literatures on flood vulnerability, spatial planning and DRR. Such a critical review of literature was complemented by the use of pattern matching as a qualitative research instrument. Quantitative that was gathered using a structured observation checklist. Quantitative data generated was first subjected to various statistical tests that included Normality and Reliability Tests. Common measures of Normality test used included measures of skewness, kurtosis and the use of Normal Q-Q plots. To assess flood vulnerability, Hierarchical Cluster Analysis (HCA) was used. HCA was used to identify clusters of flood prone areas which had common characteristics in terms of the four main study constructs proposed by the study which included the physical/engineering, socio-economic, ecological/natural and political or governance conditions characterizing each area. HCA was then used to identify main clusters exhibiting similar characteristics and the associated level of vulnerability of such of communities occupying such clusters. Study results revealed 2 main clusters of flood prone areas whose differences lay in interactions that existed between the physical/engineering, socio-economic, ecological/natural and political or governance conditions characterizing each area. Such clusters depicted 2 levels of vulnerability that is high, and moderate. A number of opportunities and constraints were generated using the SWOT matrix strategy with the main results showing that spatial planning elements characterizing flood prone areas could be transformed into critical urban risk management options for DRR. This is because a spatial planning elements were found to have a direct influences on critical factors of DRR such as location of activities. The study concluded by recommending a number of spatial planning strategies that can be vaporized for DRR. Such strategies are systematically aligned to the unique vulnerability context conditions associated with the two flood vulnerability solution arrived at using HCA. / NRF

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