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Human Settlements Review - Parliamentary Monitoring Group

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ij<br />

ij<br />

max<br />

j<br />

<strong>Human</strong> <strong>Settlements</strong> <strong>Review</strong>, Volume 1, Number 1, 2010<br />

4.3 The proposed assessment<br />

method<br />

The proposed framework presents a multicriteria<br />

optimisation problem. There are many<br />

techniques for multi-criteria optimisation, such<br />

as simple multi-attribute rating techniques, the<br />

analytical hierarchy process, order preference<br />

by similarity to ideal solution (Engelbrecht,<br />

2007: 113-177). The simple additive weighting<br />

(SAW), one of the simplest and probably the<br />

best known and most widely used technique, is<br />

recommended in this study. The model is used<br />

to aggregate the scores into one score based<br />

on the criteria weights. At first the scores are<br />

normalised (converted) by the formulas:<br />

1.<br />

x<br />

ij<br />

a<br />

=<br />

a<br />

ij<br />

max<br />

j<br />

ij<br />

2. xij<br />

=<br />

max<br />

a j<br />

Where<br />

aij<br />

xij<br />

= = the score for the criterion.<br />

max<br />

a j<br />

When the criteria are maximised, Formula 1<br />

has to be used, and Formula 2 when the criteria<br />

are minimised. The scores are aggregated into<br />

one score using the formula:<br />

3.<br />

aij<br />

xij<br />

=<br />

max<br />

a j<br />

a<br />

Where<br />

x =<br />

a<br />

is the total score, is the number<br />

aij<br />

xij<br />

=<br />

max<br />

of criterion, a j<br />

s the weight of each criterion,<br />

and is the normalised score of the criterion.<br />

In the event that the criteria are not measurable,<br />

it is proposed to approach several stakeholders,<br />

including academics and industry players to<br />

rate the technology. However, it is important<br />

a<br />

to note that such score rating is subjective and<br />

based on the perceptions of the respondents.<br />

Yet, statistically the information can be used to<br />

draw objective conclusions. Alternatively, it is<br />

proposed that such criteria be defined in terms<br />

that can be quantified and systems developed<br />

to capture data which can then be presented<br />

and analysed accordingly.<br />

It is also necessary to compute the weighting<br />

of the three pillars of sustainability (socioeconomic,<br />

technical and environmental). Such<br />

computation can be based on a field survey<br />

where the targeted community participates<br />

to establish the most pressing issues, which<br />

can then be weighted using social science<br />

techniques. The score rating for each criterion<br />

and category (technical, socio-economic and<br />

environmental) can be averaged, normalised<br />

and aggregated into one score. The grand<br />

total score rating can then be calculated as the<br />

sum of the three total scores.<br />

6 Conclusions and<br />

recommendations<br />

The concept of sustainable development is<br />

now well defined and it can be applied to any<br />

sphere of development and decision making,<br />

including the built environment. The proposed<br />

framework defines building technologies<br />

responsive to the urban poor in terms of<br />

technical, socio-economic and environmental<br />

sustainability objectives in the regional context.<br />

Building construction technologies can be<br />

analysed, evaluated and finally compared in<br />

order to select the optimal variant according to<br />

the given set of criteria. The outcome of such<br />

an evaluation can enhance the understanding<br />

of the potentials of the technologies,<br />

78

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