A simulation optimisation tool for planning of low-income housing projects

2013 ◽  
Vol 31 (1) ◽  
pp. 51-63 ◽  
Author(s):  
Mohamed Marzouk ◽  
Osama Omar ◽  
Manal Abdel Hamid ◽  
Moheeb El-Said
Keyword(s):  
Low Income ◽  
Housing Projects ◽  
Simulation Optimisation ◽  
Low Income Housing

Space standardisation of low-income housing units in India

2016 ◽  
Vol 9 (1) ◽  
pp. 88-107 ◽  
Author(s):  
Uttam Kumar Roy ◽  
Madhumita Roy
Keyword(s):  
Affordable Housing ◽  
Low Income ◽  
Market Demand ◽  
Content Type ◽  
Housing Projects ◽  
The People ◽  
Modular Units ◽  
Market Driven ◽  
Building System ◽  
Low Income Housing

Purpose – This paper aims to develop a set of affordable space and dimensional standards for market-driven low-income housing in Indian context for the purpose of mass production using industrialised building system. Design/methodology/approach – For this, the paper first explains the significance of standardisation from the literature and revisits the codes and contemporary practices in industrialised building system (IBS) in India. Next, it undertakes a market survey of ongoing/completed housing projects to study the space/dimensions reflected in the market demand by the people. After considering conditions like modular grid suitability and provisions of code, it identifies a set of dimensional standards of activity spaces, emerging from the market study. It also suggests a framework of modular units showing the incremental attachment possibility for component-based construction using IBS. These standards and design frameworks will make the path for developing various products and components towards an open system in India. Findings – The paper gives an insight of the market trends of low-income housing, focusing on unit designs and spatial elements. Research limitations/implications – Local contextualisation during the unit designs will be required and that is not addressed in this paper. Practical implications – This will benefit developers, manufacturers, designers as well as policymakers towards a market-driven housing delivery using IBS. Social implications – As a result of this standardisation, housing delivery will be faster and there will be more numbers of market-driven affordable housing in masses for low-income people, thus solving housing shortage. Originality/value – A developing country like India is a diversified country having many geographical and social variations. Such standardisation for a space and design framework has never been attempted before and will make a contribution for the public housing sector.

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.

scholarly journals An optimization algorithm for simulation-based planning of low-income housing projects

2010 ◽  
Vol 1 (4) ◽  
pp. 291-300 ◽  
Author(s):  
Mohamed M. Marzouk ◽  
Osama A. Omar ◽  
Manal S. Abdel Hamid ◽  
Moheeb E. El-Said
Keyword(s):  
Low Income ◽  
Optimization Algorithm ◽  
Housing Projects ◽  
Simulation Based ◽  
Low Income Housing

scholarly journals Analysis Of The Economic Effects Of Low Income Housing Tax Credits

2011 ◽  
Vol 7 (8) ◽  
Author(s):  
David M. Mitchell ◽  
Russell McKenzie
Keyword(s):  
Low Income ◽  
Economic Benefits ◽  
Economic Effects ◽  
Tax Credits ◽  
Housing Projects ◽  
Specific Impact ◽  
Low Income Housing

The development of low income housing projects can provide both social and economic benefits to a state.  As an economic engine, low income housing projects provide construction jobs and positively impacts long term employment.  This paper examines the specific impact investments in low income housing projects and associated tax credits.

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