08.09.2014 Views

Economic evaluation of road safety measures - Swov

Economic evaluation of road safety measures - Swov

Economic evaluation of road safety measures - Swov

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!