USING A COMBINED APP ROACH AHP PROMETHEE … is used to rank the alternative urban bypass road...
Transcript of USING A COMBINED APP ROACH AHP PROMETHEE … is used to rank the alternative urban bypass road...
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International Journal of Civil Engineering and Technology (IJCIET)Volume 8, Issue 5, May 2017, pp.
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ISSN Print: 0976-6308 and ISSN
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USING A COMBINED APP
PROMETHEE
ROADS ALTERNAT
Geophysical Laboratory of Geotechnics, Engineering Geology and Environment
M
Mohammed 5 University of Rabat, Morocco.
Mohammadia school of Engineers
Mohammed 5 University of Rabat, Morocco.
ABSTRACT
The FESIA-framework environmental and social impact assessment
a necessity in the past years in several countries. The
roads, are expanding and have become a priority for the development of the country.
The technical studies, typically offer several alternatives, and it come
decision-makers to choose the variant which responds better to their need. Overall,
just the technical-economic criteria that allow you to decide the choice. However, the
environmental component is become important, and should be taken into account
the overall decision. In our case study, we tried to apply a combined approach AHP
PROMETHEE that is a MCDA Method to be able to choose between three
alternatives of bypass road of the Marrakech city in Morocco. Thirteen Sub criteria
have been selected, which are of different natures (qualitative and quantitative), and
which have been grouped into four main groups of criteria MC (physical, bio
ecological, socio-economic, project).The main criteria and sub criteria have been
compared by pairs in order to
preference index φ+(a) and
the net preference index
alternative that present a higher value of
which respects better, the preference adopted.
Key words: Environmental and Social Impact Assessment, Roads, GIS, AHP,
PROMETHEE.
Cite this Article: A. Bennani, L.bah
AHP PROMETHEE to Make A Decision About Roads Alternative Project: A Case
IJCIET/index.asp 856 [email protected]
International Journal of Civil Engineering and Technology (IJCIET) 2017, pp.856–868, Article ID: IJCIET_08_05_095
http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=8&IType=5
6308 and ISSN Online: 0976-6316
Scopus Indexed
USING A COMBINED APPROACH AHP
PROMETHEE TO MAKE A DECISION
ROADS ALTERNATIVE PROJECT: A CASE
STUDY
A. Bennani and L.bahi
Geophysical Laboratory of Geotechnics, Engineering Geology and Environment
Mohammadia school of Engineers
Mohammed 5 University of Rabat, Morocco.
S.Amgaad
Department of Civil Engineering
Mohammadia school of Engineers
Mohammed 5 University of Rabat, Morocco.
framework environmental and social impact assessment
a necessity in the past years in several countries. The linear projects, especially the
roads, are expanding and have become a priority for the development of the country.
The technical studies, typically offer several alternatives, and it come
makers to choose the variant which responds better to their need. Overall,
economic criteria that allow you to decide the choice. However, the
environmental component is become important, and should be taken into account
In our case study, we tried to apply a combined approach AHP
PROMETHEE that is a MCDA Method to be able to choose between three
alternatives of bypass road of the Marrakech city in Morocco. Thirteen Sub criteria
which are of different natures (qualitative and quantitative), and
which have been grouped into four main groups of criteria MC (physical, bio
economic, project).The main criteria and sub criteria have been
compared by pairs in order to determine their weights, then we have calculated the
and φ-(a) of each alternative, in order to be able to calculate
φ(a).The results concluded, have allowed to choose an
alternative that present a higher value of φ(a), which means that it is the alternative
ter, the preference adopted.
Environmental and Social Impact Assessment, Roads, GIS, AHP,
A. Bennani, L.bahi and S.Amgaad Using A Combined Approach
to Make A Decision About Roads Alternative Project: A Case
asp?JType=IJCIET&VType=8&IType=5
ROACH AHP
TO MAKE A DECISION ABOUT
IVE PROJECT: A CASE
Geophysical Laboratory of Geotechnics, Engineering Geology and Environment
framework environmental and social impact assessment have become
linear projects, especially the
roads, are expanding and have become a priority for the development of the country.
The technical studies, typically offer several alternatives, and it come back to
makers to choose the variant which responds better to their need. Overall,
economic criteria that allow you to decide the choice. However, the
environmental component is become important, and should be taken into account in
In our case study, we tried to apply a combined approach AHP-
PROMETHEE that is a MCDA Method to be able to choose between three
alternatives of bypass road of the Marrakech city in Morocco. Thirteen Sub criteria
which are of different natures (qualitative and quantitative), and
which have been grouped into four main groups of criteria MC (physical, bio-
economic, project).The main criteria and sub criteria have been
determine their weights, then we have calculated the
of each alternative, in order to be able to calculate
.The results concluded, have allowed to choose an
, which means that it is the alternative
Environmental and Social Impact Assessment, Roads, GIS, AHP,
i and S.Amgaad Using A Combined Approach
to Make A Decision About Roads Alternative Project: A Case
A. Bennani, L.bahi and S.Amgaad
http://www.iaeme.com/IJCIET/index.asp 857 [email protected]
Study. International Journal of Civil Engineering and Technology, 8(5), 2017, pp.
856–868.
http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=8&IType=5
1. INTRODUCTION
In order to accompany the development in the Kingdom of Morroco, the Ministry of
Equipment and Transportation and Logistics, has scheduled the attainment of motorways and
express roads linking the strategic points in the country. In the short and medium term, this
will ease road traffic and to avoid the traffic jam, in the main cities of the kingdom. The
present study consists in the testing of an analytical approach and a tool to help the
stakeholders to make a decision, for the achievement of the environmental and civil
engineering studies, in the case when several alternatives of the road alignment have been
presented. This approach will allow combining model AHP and PROMETHEE to analyze
several environmental indicators, to help us to make a decision. A result allowing choosing a
definitive alternative which can be carried out, and which responds to a specific need, of the
decision maker. AHP is used to help us to calculate the weights of the criteria and
PROMETHEE is used to rank the alternative urban bypass road project. [1] The construction
of roads will affect several elements of the natural environment, especially the agricultural
field, the wetlands, villages, and other obstacles, such as rails, tracks, etc. The challenge is to
carry out the project without compromising the existing environmental elements. Take
decision has the upstream of the project will minimize the environmental impacts, and
succeed the environmental and social integration of the project.
2. METHODOLOGY
The main purpose of this approach is to permit stakeholders to choose a few variants among
several, who meet their need, in the case when are several parameters to take in consideration.
In our case, we have taken some environmental indicators of surface (ha, square meters, etc.),
and other qualitative indicators, that were analysed using the fuzzy logic. The necessary steps
to decide on the choice of one alternative are:
• Identify the linear trajectory of the project
• Identify the environmental indicators
• Drawing the GIS maps,
• Create a geodatabase,
• Weighting criteria using AHP,
• Define our preference,
• Analysis of the PROMETHEE results
Below we give a brief presentation of the two methods AHP and PROMETHEE:
2.1 The AHP Method
In the literature, the AHP “Analytic hierarchy process” has been developed by Saaty (1980)
[2], in order to solve problems “multi criteria decision.”
The main process of the AHP is divided on four steps:
• The first step consists in the determination of the problematic, and the
establishment of the hierarchy of decision. The hierarchical tree represents the
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various levels of the decision and the preference, and the relationship between
them. [2]
• The second step consists in the comparison of the different criteria by pairs. This
step will be carried out using a scale with nine points, in order to determine the
preference of a criterion to the other. The odd levels (1, 3, 5, 7, and 9) correspond
to the powers of the importance order (equal, moderate, higher, much higher and
complete dominance). The pair’s level corresponds to the intermediate values. [2]
• The next step is the determination of the priority for each criterion, in fact to
define the overall preference. The crossing by pairs are made, and it is
subsequently established a matrix of standardization. This matrix of comparison is
carried out by the fraction of each item by the sum of the column. By against the
normalized matrix is performed by the calculation of the average of the line, in
order to find the priority vector. [2]
• The last step is to calculate the CR “Consistency Ratio”. This step is divided into
four Sub Steps: 1) Creation of a matrix by the multiplication of the matrix of
comparison and the priority vector. 2) The calculation of the eigenvalues by the
division of the elements of the weighted matrix, by the vector of priority
corresponding. 3) the principal eigenvalue is calculated from the average of the
eigenvalues. 4) This eigenvector is the main indicator to find the CI “Consistency
Index”, which is necessary to find the CR. “The CR value must be lower than 0.1,
if not all of computations are false, and it must be reviewed.”[2]
Table 1 The Saaty Scale for Pairwise Comparison [3]
Intensity of importance Definition
1 Equal importance
3 Moderate importance
5 Higher importance
7 Much higher importance
9 Complete dominance
2,4,6,8 Intermediate values
1/2,1/3,3/4….1/9 Reciprocal
Table 2 Pairwise Comparison of Elements in AHP
C a1 … a1 … an
a1 1
…
[1]
ai
Pc (ai, a1)
…
[1]
an
1
2.2 The PROMETHEE Method
The Preference Ranking Organization Method for Enrichment Evaluation “PROMETHEE”
Approach is developed by Brans and Vincke (1982–1985), and completed by Brans and
Mareschal (1994).
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This approach is one of the most important partial aggregation methods, who are switched
to complete aggregation (MAUT) method [4].
PROMETHEE Method needs some information; the first one is the evaluation table
where the whole of actions should be evaluated using different criteria.
First, a specific preference function needs to be defined (Pj (a, b)) that translates the
deviation between the evaluations of two alternatives (a and b) on a particular criterion (gj)
into a preference degree ranging from 0 to 1. [2]
This preference index is a non-decreasing function of the observed deviation between the
scores of the alternatives on the considered criterion (fj (a)-fj (b)), as shown in equation (1).
[2]
����, �� = ������ − ����� �1� Several preferences have been cited in the literature [5], but just six among them, were
selected to determine the function of preference, we note: (usual shape, U-shape function, V-
shape function, level function, linear function and Gaussian function). [2]
After the determination of the specific function, the determination of the weights of the
criteria is paramount, because the approach PROMETHEE does not determine the weight for
a large number of criteria. In this case, it is recommended to use several methods, particularly
the comparison by pairs, [6].
In our study, the weight of the criteria and criterion is determined by the AHP. Using this
method, a preference index π (a, b) can be calculated, taking all the criteria into account
(eq2).
���, �� =�������, ���2��
���
The preference index is calculated from two sub parameters positive preference index
φ+(a) and the negative preference index φ-(a). For each alternative, the calculation of the
preference index shows, if it is outranking or outranked in relation with the others.
The preference index net is calculated from the subtraction of the two preference indexes (eq 3 and 4).
����� = 1� − 1����, ���3�
�
����� = 1� − 1����, ���4�
�
The interpretation of the obtained value, shows a strong correlation between the
higher index values and the most important alternative. The classification of the different
alternatives therefore follows a positive correlation with the net preferences indexes φ (a)
(eq 5)
���� = ����� −����� (5)
Three principal PROMETHEE tools can be used to resolve the evaluation problem:
• PROMETHEE I for partial rankings,
• PROMETHEE II for complete rankings,
• GAIA plane for preference analysis.
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The PROMETHEE I approach allows a partial ranking of alternatives, based on the
calculation of net preference index. The difference between two alternative (a) and (b) will be
favorable for the alternative (a), if and only if the alternative (a) presents a higher φ+(a)
value, and a lower φ-(a) value. In the case if this difference is not clear, we must apply the
complete ranking “PROMETHEE II” to make the difference between them. [2]
In order to complete the classification, the approach PROMETHEE II is used to prioritize
the alternatives in function of the net preference index φ (a).
The general classification allows putting in evidence a descending order, permitting the
identification of the best solution.
The GAIA plan “Geometrical Analysis for Interactive Aid,” is used finally for shown the
dispersion of the criteria in relation to the decision vector and to the different alternatives [2],
[7].
This approach has several advantages, which are useful to make a decision:
• The approach PROMETHEE I, avoids the confusion between the criteria, which
may occur in the AHP [2],
• The PROMETHEE approach require sources of qualitative and quantitative
information, and can give results on the basis of their availability. This will
determine the most favorable alternative for each criterion, and also the criteria
which are correlated positively and negatively for each alternative. [2]
• In conclusion, the PROMETHEE approach is a very efficient tool for the
sensitivity analyzes, but it remains very limited to estimate the weight of the
criteria, hence the idea of combining them with the AHP approach, in order to
make the complete model and adapt it to our need, to be able to choose an
alternative bypass road which respects the better the environment.
In this study, we will use a combined approach AHP-PROMETHEE. The determination
of the weight, and the structuring of the problem will be made using AHP method. Then they
PROMETHEE approach will be used for the aggregation of the criteria, and the analysis of
the sensitivity. An overview of this combined approach is presented in the following section.
2.3 AHP – PROMETHEE Combined Approach
The proposed approach in this analysis is divided into several steps:
• Firstly: The work consists in the preparation of the GIS data and the identification
of different criteria, which will be the basis of the determination of the choice;
• In second place, using the AHP approach, we will proceed to the weighting the
criteria, this step is forming the first comparison Matrix, whom we’ll assign value
of weight to the criteria defined earlier, calculation of the weights of the various
selection criteria by using the geometric mean and finally establish the final
comparison matrix.
• Once the weighting validated by the decision makers, we will proceed to an
analysis PROMETHEE I and II, and GAIA plans. The analytical process consists
in determining a preference and priorities and help us finally to make a decision
about alternatives.
All computation of PROMETHEE approach, have been carried out using the software
visual PROMETHEE Academic v. 1.4.0.0.
Below we give a brief presentation of this approach:
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Figure
3. RESULTS AND DISCU
Our case study consist to be able to choose between three alternative of bypass roads around
the Marrakech city in Morocco.
The environment had an importa
importance.
After the investigations of the ground, we have defined four main criteria and thirteen
sub-criteria that will make the distinction between the three alternatives of bypass roads, and
allow us to make the difference between them. This will give us an idea about the good
choice to make, using Multi –
The whole of the main -criteria are defined after:
• MC1: Physical Criteria
• MC2: Biological Criteria
• MC3: Socio economic
• MC4: Project criteria
The whole of the Sub -criteria are defined after:
• SC1.1: River Area “Polygon”,
• SC1.2: Noise,
• SC1.3: Landscape quality,
• SC1.4: Air quality,
• SC2.1: Forest Area “polygon”,
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Figure 1 Combined Approach AHP PROMETHEE
3. RESULTS AND DISCUSSION
Our case study consist to be able to choose between three alternative of bypass roads around
the Marrakech city in Morocco.
The environment had an important diversity, and includes several issues with a big
After the investigations of the ground, we have defined four main criteria and thirteen
criteria that will make the distinction between the three alternatives of bypass roads, and
s to make the difference between them. This will give us an idea about the good
Criteria-Decision-Making.
criteria are defined after:
MC1: Physical Criteria
MC2: Biological Criteria
MC3: Socio economic Criteria
MC4: Project criteria
criteria are defined after:
SC1.1: River Area “Polygon”,
SC1.3: Landscape quality,
SC1.4: Air quality,
SC2.1: Forest Area “polygon”,
Our case study consist to be able to choose between three alternative of bypass roads around
nt diversity, and includes several issues with a big
After the investigations of the ground, we have defined four main criteria and thirteen
criteria that will make the distinction between the three alternatives of bypass roads, and
s to make the difference between them. This will give us an idea about the good
Using A Combined Approach AHP
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• SC2.2: Count of ecological sites,
• SC3.1: Building Area
• SC3.2: Agriculture Area “polygon”,
• SC3.3: Arid Space Area “polygon”,
• SC3.4: human point of view,
• SC4.1: Length of Bypass Road “polyline”,
• SC4.2: No Accessibility,
• SC4.3: Count of intersection with roads.
Figure 2 Decision Hierarchy of Urban Bypass Roads Project Selection Problem
The AHP methodology is used to determine the weight of the criteria, taken into account
in our decision.
We have taken the criteria by pairs, in order to assign a weight for each MC, then for eac
sub criterion SC, in fact the analysis was made to determine the overall weight of each SC, in
order to find the comparison matrix by pairs.
The pairwise comparison matrix for each MC and SC is presented in table
The values obtained from the calculati
Table 3), which demonstrates that we can use the comparison matrix of the criteria.
Table 3 Pairwise Comparison Matrix for Criteria and Results Obtained From AHP Computations
CR: 0,0347
MC1
MC1 1
MC2 0,33
MC3 0,33
MC4 3
Urban
MC-1
W= 0,28
SC – 1.1
W=0,30
SC – 1.2
W=0,48
SC – 1.3
W=0,07
SC – 1.4
W=0,14
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SC2.2: Count of ecological sites,
SC3.1: Building Area “polygon”
SC3.2: Agriculture Area “polygon”,
SC3.3: Arid Space Area “polygon”,
SC3.4: human point of view,
SC4.1: Length of Bypass Road “polyline”,
SC4.2: No Accessibility,
SC4.3: Count of intersection with roads.
on Hierarchy of Urban Bypass Roads Project Selection Problem
The AHP methodology is used to determine the weight of the criteria, taken into account
We have taken the criteria by pairs, in order to assign a weight for each MC, then for eac
sub criterion SC, in fact the analysis was made to determine the overall weight of each SC, in
order to find the comparison matrix by pairs.
The pairwise comparison matrix for each MC and SC is presented in table
The values obtained from the calculation of the Consistency ratio are all less than 0.1 (see
3), which demonstrates that we can use the comparison matrix of the criteria.
Pairwise Comparison Matrix for Criteria and Results Obtained From AHP Computations
MC2 MC3 MC4 Weight vector
3 3 0,33 0,28
1 0,33 0,2 0,07
3 1 0,2 0,11
5 5 1 0,54
Urban bypass road Project Selection
MC – 2
W=0,08
SC – 2.1
W=0,25
SC – 2.2
W=0,75
MC – 3
W= 0,12
SC – 3.1
W= 0,13
SC – 3.2
W=0,12
SC – 3.3
W=0,61
SC – 3.4
W=0,13
MC – 4
W= 0,52
SC –
W=0,63
SC –
W=0,11
SC –
W=0,26
ternative Project: A Case Study
on Hierarchy of Urban Bypass Roads Project Selection Problem
The AHP methodology is used to determine the weight of the criteria, taken into account
We have taken the criteria by pairs, in order to assign a weight for each MC, then for each
sub criterion SC, in fact the analysis was made to determine the overall weight of each SC, in
The pairwise comparison matrix for each MC and SC is presented in table 3.
on of the Consistency ratio are all less than 0.1 (see
3), which demonstrates that we can use the comparison matrix of the criteria.
Pairwise Comparison Matrix for Criteria and Results Obtained From AHP Computations
Weight vector
0,28
0,07
0,11
0,54
W= 0,52
4.1
W=0,63
4.2
W=0,11
4.3
W=0,26
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CR: 0,072
SC 1.1 SC 1.2 SC 1.3 SC 1.4 Weight vector
SC 1.1 1 0,33 3 3 0,59
SC 1.2 3 1 5 3 0,59
SC 1.3 0,33 0,2 1 0,33 0,07
SC 1.4 0,333 0,33 3 1 0,20
CR: 0
SC 2.1 SC 2.2 Weight vector
SC 2.1 1 0,33 0,25
SC 2.2 3 1 0,75
CR: 0,0813
SC 3.1 SC 3.2 SC 3.3 SC 3.4 Weight vector
SC 3.1 1 0,333 0,20 1 0,087
SC 3.2 3 1 0,14 0,2 0,093
SC 3.3 5 7 1 7 0,680
SC 3.4 1 3 0,14 1 0,139
CR: 0,0332
SC 4.1 SC 4.2 SC 4.3 Weight vector
SC 4.1 1 5 3 0,64
SC 4.2 0,2 1 0,33 0,10
SC 4.3 0,33 3 1 0,26
Figure 3 Occupancy Map of The First Alternative
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Figure 4 Occupancy Map Of The Second Alternative
Figure 5 Occupancy Map Of The Third Alternative
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Figure 6 The Field Works of Environment Exploration
Table 4 Evaluation Matrix
Criteria Unit Min/Max Weights Alt 1 Alt 2 Alt 3
SC 1.1 Square meter min 0,07 5694 5224 6789
SC 1.2 min 0,14 average good good
SC 1.3 max 0,02 very good very good bad
SC 1.4 max 0,04 average good bad
SC 2.1 Square meter min 0,02 7686483 3494 3256876
SC 2.2 Unit min 0,05 3 3 2
SC 3.1 Square meter min 0,01 1360325 1331388 1430764
SC 3.2 Square meter min 0,01 66449836 67419907 4371289
SC 3.3 Square meter max 0,07 56743 76458 32765
SC 3.4 max 0,02 bad good average
SC 4.1 kilometer min 0,35 74729 67970 72243
SC 4.2 min 0,06 bad average bad
SC 4.3 Unit min 0,14 9 8 12
The evaluation matrix is the first act to do for determining the preference functions and
threshold values. They should be determined by considering the nature of the criteria and
features of the alternative of bypass roads project.
The preference function and other characteristic are presented in (Table 5) below:
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Table 5: Preference Function
Threshold Values
Criteria
Preference
Function q p s
SC 1.1 V - Shape 1491,86
SC 1.2 Level 0,03 0,25
SC 1.3 Level 1,41 3,41
SC 1.4 Level 0,47 1,8
SC 2.1 V - Shape 0,25
SC 2.2 V - Shape 1,14
SC 3.1 V - Shape 0,25
SC 3.2 V - Shape 2
SC 3.3 V - Shape 39573,22
SC 3.4 Level 0,47 1,8
SC 4.1 linear 2849,49 7355,49
SC 4.2 Level 0,47 1,14
SC 4.3 V - Shape 3,91
The Following step present the result of the evaluation of alternatives via VISUAL
PROMETHEE software, which is used to PROMETHEE computations and analysis.
The positive and negative flow and the net flow are presented in the (Table 6) below:
Table 6 Promethee Flows
Alternatives φ(a) φ+(a) Φ-(a)
Alt 2 0,4168 0,5531 0,1362
Alt 1 0,0062 0,2845 0,2784
Alt 3 -0,4230 0,0934 0,5163
Figure 6 Result of Promethee RAINBOW
The PROMETHEE I and II (partial and complete ranking) analysis illustrate that the
alternative N°2, is the better one that satisfies our preference. The alternative N°2 Present a
positive flow of the order of 0.4168, follow-up of the alternative N°1 with a positive flow of
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the order of 0.0062, and in the end comes the third alternative with a negative flow of order of
-0.042. (Figure 7)
Figure 7 Result of PROMETHEE 1& II Computation
In the final step of analysis using GAIA plan “Geometrical Analysis for Interactive Aid,”
all alternatives and criteria are shown by a point and vectors.
In the GAIA plan, all our criteria are positioned in the same direction, but the conflicting
criteria are positioned in the opposite direction.
We conclude that the forest area, the opinion of the population and the road length, are the
criteria which expresses a similar preference, by against the noise and the un-accessibility are
the criteria which oppose the choice of the overall preference.
For the alternative N °3, we note that it has a strong attraction for the criteria SC2.2 and
SC3.2, by against it opposes any other criteria. The alternative No. 1 has an attraction for the
criteria SC 4.2, SC1.2, SC 4.3, SC 3.3, SC1.3, and is opposed to the other criteria. The
alternative No. 2 has an attraction to SC2.1 criteria, SC4.1, and SC3.4, with a considerable
weight.
The figure (Figure 8) below presents the GAIA plan:
Figure 8 GAIA Plane
Using A Combined Approach AHP PROMETHEE to Make A Decision About Roads Alternative Project: A Case Study
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According to the Gaia plan, we note that the most favorable alternative is the alternative
No. 2, followed by the alternative No1; furthermore, the alternative N°3 is the choice the less
advantageous among the proposed alternatives.
4. CONCLUSION
Project selection is one of the main environmental decisions of road construction companies.
This study aims to propose an integrated approach using the combination of GIS, AHP
and PROMETHEE methods, which may assist the companies and stakes holders in selecting
their roads projects in a more objective, and realistic way.
The proposed approach should be applied in an environmental Study of bypass roads or
any other linear project of civil Engineering.
In the process of environmental impacts assessment of linear projects, this methodology
will assist to decision makers and the stakeholders, for making a good environmental
decision.
REFERENCES
[1] Bennis, K. and Bahi, L. Hybird fuzzy decision making framework for environmental
impact assessment, Tangier, Morocco. Int. J. Eng. Technol., 7(1), 2015, pp. 1–16.
[2] Turcksin, L. Bernardini, A. and Macharis, C. A combined AHP-PROMETHEE approach
for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet.
Procedia - Soc. Behav. Sci., 20, 2011, pp. 954–965.
[3] Saaty, T.L. The Analytic Hierarchy Process. New York McGraw-Hill, 1980.
[4] Brucker,K. D. Verbeke,A. and Macharis,C. The Applicability of Multicriteria-Analysis
To the Evaluation of Intelligent Transport Systems (Its).Res. Transp. Econ., 8(4), 2004,
pp. 151–179.
[5] Brans,J. P.Vincke,P. and Mareschal,B. How To Select and How To Rank Projects - the
Promethee Method. Eur. J. Oper. Res., 24(2), 1986, pp. 228–238.
[6] Macharis, C.Verbeke,A. and De Brucker,K. The Strategic Evaluation of New
Technologies Through Multicriteria Analysis: the Advisors Case. Res. Transp. Econ.,
8(4), 2004, pp. 443–462.
[7] T. Ravi Teja and B.G.Rahul, Financial Viability of Bot Road Projects In India.
International Journal of Civil Engineering and Technology, 8(1), 2017, pp. 382–389.
[8] R. Prasanna Kumar, Afshan Sheikh and SS.Asadi, A Systematic Approach For Evaluation
of Risk Management In Road Construction Projects - A Model Study. International
Journal of Civil Engineering and Technology, 8(3), 2017, pp. 888–902.
[9] Brans, J.P. and Mareschal, B.The PROMCALC and GAIA Decision Support System for
Multicriteria Decision Aid. Decision Support Systems, 12, 1994, pp. 297–310.