scholarly journals Performance of Roof Anchor Systems for Low-Income Housing in South Africa

2021 ◽  
Author(s):  
Ruben van der Merwe ◽  
Jeffrey Mahachi
Keyword(s):  
South Africa ◽  
Low Income ◽  
Anchor Systems ◽  
Low Income Housing

Low-income housing policy in practice in arid and semi-arid South Africa

2010 ◽  
Vol 74 (10) ◽  
pp. 1340-1344 ◽  
Author(s):  
Lochner Marais ◽  
Jan Cloete ◽  
Zacheus Matebesi ◽  
Kholisa Sigenu ◽  
Deidre van Rooyen
Keyword(s):  
South Africa ◽  
Housing Policy ◽  
Low Income ◽  
Semi Arid ◽  
Low Income Housing

scholarly journals Confirmatory Factorial validity of Neighborhood Features amongst South Africa low-income Housing Occupants’

2013 ◽  
Vol 5 (12) ◽  
pp. 825-837 ◽  
Author(s):  
Aigbavboa Aigbavboa
Keyword(s):  
South Africa ◽  
Low Income ◽  
Questionnaire Survey ◽  
Structural Equation ◽  
Sem Analysis ◽  
Primary Data ◽  
Equation Modeling ◽  
Factorial Validity ◽  
Housing Projects ◽  
Low Income Housing

There is a fundamental link between theory and measurement advising that factorial confirmation of measures should be the first stage of theory testing. The aim of this paper was to confirm the factorial validity of the neighborhood features in a residential satisfaction study amongst South Africa low-income housing occupants’. The study was conducted amongst subsidized low-income housing occupants’ in South Africa. Data used in the study were obtained from a Delphi and field questionnaire study. Primary data was collected through the use of a structured questionnaire survey conducted among 751 low-income housing residents’ in three metropolitan and one district municipality in the Gauteng Province of South Africa. Data gathered via the questionnaire survey were analyzed using structural equation modeling (SEM) which was used to confirm the factorial structure of the constructs. SEM analysis revealed that the Rho coefficient and the Cronbach’s alpha coefficient of internal consistency were over 0.70 criterions for acceptability. Further finding was that neighborhood features influence on the residents’ satisfaction was not statistically significant and hence was weak in the prediction of the residents’ satisfaction with their houses. However, due to the idiosyncratic dataset used in the study, it remains to be seen if the evaluated indicator factors of neighborhood features can replicate to other cross-cultural datasets. If this is the case, the paper makes a significant contribution towards understanding neighborhood features on subsidized low-income housing projects. This study provided significant insight into how residents’ satisfaction with their houses could be improved.

scholarly journals Quality of low-income housing projects in South Africa

2019 ◽  
Vol 640 ◽  
pp. 012029
Author(s):  
C Aigbavboa ◽  
A Oke ◽  
O Akinradewo ◽  
D Aghimien ◽  
S Okgonne
Keyword(s):  
South Africa ◽  
Low Income ◽  
Housing Projects ◽  
Low Income Housing

scholarly journals Factors influencing the quality of low-income housing in Polokwane Municipality South Africa

2021 ◽  
Vol 28 (2) ◽  
pp. 23-52
Author(s):  
Kgashane Stephen Nyakala ◽  
◽  
Sekou Dolly Ramoroka ◽  
Kemlall Ramdass
Keyword(s):  
South Africa ◽  
South African ◽  
Low Income ◽  
High Quality ◽  
Construction Quality ◽  
Housing Projects ◽  
Factors Influencing ◽  
Design Construction ◽  
Low Income Housing

Recent South African and international evidence highlights the broad and lasting impacts of households, particularly those on low income, when unable to afford higher income counterparts to live in apartments, maintained public housing, and other high-quality houses. A broad range of low-income houses recently built in South African local municipalities are reportedly defective, due to poor building and construction quality. This study aims to assess and determine the factors influencing high-quality housing positively impacting on the lives of a significant proportion of low-income housing projects. Reasons for and obstacles to quality design, construction quality and the development of low-income housing projects were identified. To assess the research questions, a quantitative survey (n=103) was carried out, simple random and purposive sampling techniques were used to select contractors who were active in low-income housing projects within the Polokwane Municipality. The quantitative data gathered were analysed using Statistical Package for the Social Sciences (SPSS) to determine a combination of descriptive and non-parametric statistics of the data computing the frequencies, mean scores and standard deviations. Selected results show that poor-quality and low-income housing projects are perceived to be related to the contractors, builders and construction practitioners not complying with the standards, variously because of insufficient training or accountability to public authorities and end users of low-income houses, i.e., the beneficiaries. The respondents were of the view that house builders and local government authorities could use five factors, namely quality standards, management, involvement of people, process design and process, planning and scheduling to assess non-conformance to quality requirements in low-income housing projects in South Africa. The finding of this study provides a platform for improving the quality of housing design, construction projects, sustainability and an opportunity for local and international design and construction professionals to rethink design in the context of low-income housing projects.

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