Gs. Kalamaras et al., Application of multicriteria analysis to select the best highway alignment(Reprinted from Tunnels under Pressure), TUNN UNDERG, 15(4), 2000, pp. 415-420
Selecting the optimal alignment is a multi-disciplinary decision problem, w
ith objectives which may conflict with one another. The approach selected f
or resolving this problem in a quantitative manner, is the Multicriteria An
alysis, where ratings are attributed to different objectives, for the alter
natives analyzed. The following principal objectives were considered for th
e highway project under consideration: minimization of the impact on the en
vironment, optimization of the functionality of the alignment (also, in ter
ms of safety), minimization. of construction time (with respect to the 60-m
onth deadline), minimization of construction and operational costs, and max
imization of the results of the economic investment. In order to perform an
evaluation of the possible alternatives it was necessary to breakdown thes
e objectives into a set of corresponding criteria. Definition of a weightin
g factor for each criterion, signifying the importance of the criterion in
the decision making process, was done by pair-wise comparison, quantitative
criteria and experts' judgment. A rating system was defined for evaluating
the performance of each alternative solution. Minimization of construction
time and minimization of construction and operational costs are amongst th
e criteria with the highest weighting factors in selecting the optimal alig
nment. The software chosen for providing the hard data for this comparison
was DAT/SIMSUPER. Due to the complexity of the alignment (viaducts, tunnels
, normal road sections), a very large network of construction activities ha
d to be set up. The selected alignment was that of alternative A5 since, ap
art from being associated with low construction cost and time, it was also
associated with a favorable performance with reference to the other princip
al objectives: impact on the environment, alignment geometry, and investmen
t maximization (C) 2001 South African. Institute of Mining and Metallurgy.
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