Institute for Urban Technology Management
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Browsing Institute for Urban Technology Management by Author "Ali Redjem"
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Item Open Access Assessment of Urban Vulnerability to Flooding Using Multi-Criteria Analysis(université msila, 2023) Abdelkader Hallil; Ali RedjemUrban vulnerabilities must be studied and assessed to make cities more resilient to floods. This study aimed to assess the urban vulnerability of El Bayadh city, located in the west of Algeria, to floods and to identify flood-prone areas. Using the Hierarchical Multi-criteria Analysis (HMA) method, a set of criteria was proposed such as population density, housing typology, type of equipment, and road network to measure the overall fragility of the study area. The Geographic Information System (GIS) was used to translate the obtained results and develop the global vulnerability map. The most important results were: 5.6% of the study area had an extreme vulnerability, 7.97% high vulnerability, 8.5% medium vulnerability, and 77.87% low vulnerability. The results of this study can be used as a tool to assist local authorities during decision-making regarding flood danger assessmentItem Open Access EVALUATION OF THE EFFICIENCY AND QUALITY OF THE TRAM ROUTE OF SETIF CITY, ALGERIA: COMBINING AHP AND GIS APPROACHES(université msila, 2022) Salim Dehimi; Ibrahim Djouani; Ali RedjemThe study aims to evaluate the efficiency of the tram track in the urban transport system of the Algerian city of Setif by combining Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) approach. In this research, a set of multiple pre-determined criteria applicable in the field of urban transport were selected for decision-making. They were collected from recent research literature and expert opinions in this discipline, and then were arranged and evaluated in the AHP to extract the main weights for each criterion. In the end, they were processed spatially by using GIS. The study showed that the selection of the tramway track in the city of Setif was not successful in terms of the chosen location, and its selection was not studied according to the efficiency and quality criteria applicable in the field of urban transport. In addition, the study concluded that there is a significant shortfall in the first tram track, especially the one linking the tram route to the northern and southern parts of the city, which affected the efficiency and quality of the tram route. As the results have shown, the percentage of good spaces near the tram route does not exceed 0.34%. It is followed by the percentage of the average and acceptable areas (13.48%) and then the percentage of the marginalized areas and the areas far from the tram track (86.18% of the total area of the city). The study also demonstrated the importance of using AHP and GIS in evaluating a completed tram track according to a comprehensive and widely studied scientific methodology.Item Open Access Integration of GIS and Hierarchical Multi-Criteria Analysis for Mapping Flood Vulnerability(Université de M'sila, 2022) Kahina Loumi; Ali RedjemThis paper proposes the integration of GIS (Geographic Information System ) and HMA (Hierarchical Multi-criterion Analysis) offering a low-cost methodology to produce vulnerability maps. The quintessential role the rivers play in urban development has long been asserted and accepted. However, one of the subsequent consequences of these urban development activities is the increased frequency of floods. The case in point is the city of M’sila, Algeria. The subject city was settled along the banks of a river known as Oued El Ksob, which undoubtedly had a significant influence on its development. In the last 50 years, M’sila has experienced significant spatial growth, especially in its north and northwest sides. As such, the work presented in this article aims to assess the vulnerability of the city to the risks of flooding. The approach used is based on the combined use of the HMA method coupled with the GIS. The process allowed the graphical representation of the resulting analysis of complex data of the territory, i.e. the mapping of its vulnerability to flooding. The map has four vulnerability categories ranging from low to very strong. The proposed system serves as an essential decision-making tool for local government officials.