Economic evaluation of road safety measures - Swov
Economic evaluation of road safety measures - Swov
Economic evaluation of road safety measures - Swov
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5.5.2. Multi-criteria methods<br />
Once the effects overview has been drawn up, the ranking per criterion <strong>of</strong><br />
each alternative can be indicated by means <strong>of</strong> a number (as in the<br />
example) or a colour. The entire overview then takes on the appearance <strong>of</strong><br />
a scorecard. The assessment <strong>of</strong> the relative importance <strong>of</strong> the scores (the<br />
'weight') is a matter for those who have to make the final selection.<br />
Both the costs and effects <strong>of</strong> each alternative can be spread over time in<br />
different ways. It therefore becomes necessary to apply a correction for<br />
each criterion, wherever possible. The discounting method can be used for<br />
all scores expressed in monetary terms. Where this method is not<br />
appropriate, the effects can be aggregated over the entire lifetime, or<br />
expressed as an annual average. The scorecard should be accompanied by<br />
an explanation <strong>of</strong> the manner in which the scores and their ranking have<br />
been arrived at.<br />
This class <strong>of</strong> <strong>evaluation</strong> methods is characterized by the fact that they rely<br />
on various explicit assessment criteria. These can differ significantly. The<br />
relevant scores per criterion can each be expressed in an appropriate unit<br />
and can not therefore be aggregated over the criteria. A second important<br />
characteristic <strong>of</strong> multi-criteria methods is that greater importance is<br />
attached to some criteria than to others in making the overall assessment.<br />
This is achieved by assigning each a 'weight' that should reflect the<br />
preferences <strong>of</strong> the decision-maker(s). Where there is a significant<br />
divergence <strong>of</strong> opinion between the decision-makers, several sets <strong>of</strong><br />
weighting factors may be used. Like the effects themselves, the weights<br />
may be expressed quantitatively or qualitatively. The exact form they take<br />
will depend on the method used.<br />
There are many multi-criteria methods, including the weighted aggregation<br />
method, the goals achievement matrix, the concordance analyse, the<br />
permutation method, the regime method, the multi-dimensional scale<br />
analysis and the Evamix approach. Here, it will be sufficient for us to<br />
confine our attention to just one example, the goals achievement matrix<br />
(GAM) method.<br />
The GAM method relies on the principle <strong>of</strong> bringing the effects <strong>of</strong> the<br />
various alternatives into relationship with a number <strong>of</strong> stated social<br />
objectives. For each objective, a so-called 'cost-benefit account' is created,<br />
showing the degree to which that particular objective is achieved. Here, the<br />
costs and returns are defined somewhat differently than in the CBA: the<br />
effects are expressed as negative changes (costs) and positive changes<br />
(benefits) with regard to desired situation. In Table 5, an example <strong>of</strong> a<br />
relatively simple GAM is presented, showing just one alternative, two<br />
objectives and five groups <strong>of</strong> interested parties.<br />
SWOV Publication D-2000-16E 25