|Title: ||A benchmark for impact assessment of affordable housing|
|Advisors: ||Chinyio, Ezekiel A.|
|Publisher: ||University of Wolverhampton|
|Issue Date: ||2011 |
|Abstract: ||There is a growing recognition in the built environment for the significance of benchmarking. It is recognized as a key driver for measuring success criteria in the built environment sector. In spite of the huge application of this technique to the sector and other sectors, very little is known of it in affordable housing sub-sector and where it has been used, components of housing quality were not holistically considered.
This study considers this identified deficiency in developing a benchmark for assessing affordable housing quality impact factors. As part of this study, samples of 4 affordable Housing projects were examined. Two each were originally selected from under 5 categories of ‘operational quality standards’ within United Kingdom. Samples of 10 projects were extracted from a total of 80 identified UK affordable housing projects. Investigative study was conducted on these projects showing varying impact factors and constituent parameters responsible for their quality.
Identified impact criteria found on these projects were mapped against a unifying set standard and weighted with ‘relative importance index’. Adopting quality function deployment (QFD) technique, a quality matrix was developed from these quality standards groupings with their impact factors.
An affordable housing quality benchmark and a relative toolkit evolved from resultant quality matrix of project case studies and questionnaire served on practitioners’ performance. Whereas the toolkit was empirically tested for reliability and construct validity, the benchmark was subjected to refinement with the use of project case study.|
|Type: ||Thesis or dissertation|
|Description: ||A thesis submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy (PhD), at University of Wolverhampton, United Kingdom, May, 2011|
|Appears in Collections: ||E-Theses|
|Files in This Item:|
|Okehielem_PhD thesis.pdf||4969Kb||Adobe PDF|
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