Author Topic: Abstract  (Read 614 times)

Bertrand Mareschal

  • Administrator
  • Jr. Member
  • *****
  • Posts: 74
  • Karma: +2/-0
    • View Profile
Abstract
« on: April 08, 2020, 04:25:25 PM »
An urban traffic circles risk assessment using GIS based Promethee method: Case study of Mascara city, Algeria -
Driss M 1,*, Hamadouche M. A2, Klouche Djedid I3, Bounaceur S4, Amara K5.
1 Laboratory of Sciences and Technology of Water, Mustapha Stambouli University of Mascara, 29000, Algeria.
2 Laboratory Geomatics, Ecology and environment, Mustapha Stambouli University of Mascara, 29000, Algeria.
3Civil Engineering Department, Ibn Khaldoun University of Tiaret, 14000, Algeria.
4Civil Engineering Department, University of Abou-Bekr Belkaid University of Tlemcen, 13000, Algeria.
5Civil Engineering Department, Belhadj Bouchaib University Center of Aïn Témouchent, 46000, Algeria.
*Corresponding author: miloud.driss@univ-mascara.dz
Abstract
Road safety is a major concern in the current situation of the countries. Traffic accidents are predictable and can be reduced by improving the prevention of road risks, particularly at the urban traffic circles level. These urban intersections are particularly sensitive points and the main concern is the performance of a road network. Urban traffic circles must be the subject of a serious and effective study. In this aspect, we developed a model of risk assessment incorporating a multi-criteria analysis approach (MCDA) to a spatial decision aid system based on a geographic information system (GIS). The structured integration of the contribution of environmental and geometric characteristics of urban traffic circles to the Promethee method upgrades decision-making process. In this context, various quantitative and qualitative criteria were selected and weighted to represent the privileged conditions concerning the order and the priority relating to the occurrence of road accidents. The study was carried out using a set of urban traffic circles from the road network of the city of Mascara in the north-west region of Algeria. A sensitivity analysis and the rank test demonstrate that the proposed model is rather stable, demonstrating the robustness of the developed model. Thus, the results show that the approach presented is more effective and beneficial to local decision-makers in the decision-making process.
Keywords: GIS, Promethee, Decision Making, Urban Traffic Circles, Road Accidents.
Bertrand