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Bertrand Mareschal

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Abstract
« on: April 08, 2020, 04:24:42 PM »
Integrated Promethee-Electre III and GIS for the network road safety evaluation in Algeria.
Hamadouche M. A1*, Driss M. 2, Mederbal K.3, Anteur D.4, Fekir Y.5, Chrair M.5
1 Laboratory Geomatics, Ecology and environment, University of Mascara, Algeria.
2 Laboratory of Sciences and Technology of Water, University of Mascara, Algeria.
3 Laboratory of Geomatics and Sustainable Development, University of Tiaret, Algeria.
4 Laboratory of Water and Environment, University of Saida, Algeria.
5 Laboratory of Research on Biological Systems and Geomatics, University of Mascara, Algeria.
*Corresponding author: m.hamadouche@univ-mascara.dz
Abstract
The exponential rise in the major risk related to traffic accidents presents a huge public health
problem and development. The traffic accidents are predictable and can be reduced by improving
prevention. In Algeria, 3275 peoples were killed and 31,010 others were injured in 22,507 traffic
accidents that were registered during 2019 by the National Center for Road Security and Prevention.
In this dire situation, many researchers have relied on scientific methods to reduce the phenomenon
of road terrorism.
Traffic accidents problems are complex and influenced by many criteria resulting from different fields,
of qualitative and/or quantitative nature, that have contradictory effect and an unequal importance.
The decision-making process consists to harvest, to synthesize and to interpret information
describing the subject of the decision. The difficulties related to the very great number of possible
solutions, to the diversity of the criteria integrated in the decision-making and to the possibility of the
multitude of decision makers can be circumvented by the combined use of the multicriteria methods
(e.g.: Promethee, Electre III, AHP) and GIS tools.
Thus, the multicriteria methods, by their functions of space aggregation, present solutions of better
compromise. They permit to reduce the whole of the alternatives for the selection of the best/risk
taking into account all factors contributed in a specific problem. The use of a GIS contributes to the
harvest of information, the production of derived information and manipulation of a significant volume
of data that help to consider the problem in all its complexity and to describe the various alternatives.
Through its spatial analysis functions, it contributes to the evaluation of the alternatives according to
criteria's fixed by the decision maker. It is true that the final decision also results from other
processes, such as political strategies, that cannot be formalized, but the scientific identification of the
best solution constitutes a significant help to the decision-making.
In this paper, a Geographic Information System (GIS) based on Multicriteria Decision Analysis
(MCDA) has been developed to predict the road network black zones.
The study was carried out on the road network in the North West of Algeria. This approach allows
policy makers to assess the relative priorities of different impacts, quantitative or qualitative based on
a set of network studied. Thus, the results obtained show that the presented methods are more
efficient and beneficial.
Keywords: GIS, Multicriteria Methods, Decision Making, Traffic Accidents, Black Zones, Road
Network.
Bertrand