GIS with Fuzzy Clustering Method for the Classification of Road Network Vulnerability

Efficiency measures in a network focus on the assessment of the vulnerability of the road network in its different forms and about its classification, which is very little studied. In the absence of specific criteria for road vulnerability assessment research, it is necessary to find an appropriate method for defining the classification of vulnerabilities under a GIS platform in order to improve the monitoring and management of the vulnerability traffic (requests, costs, flows and behaviours). In this paper, a fuzzy classification methodology is implemented in a GIS environment to define the road network vulnerability categories. We have also presented a method for calibrating the availability of such a classification. The case study, using this methodology, is being implemented in Tlemcen; a city located in the northwest of Algeria. The vulnerability of the road transport system is an accessibility problem that can be classified into three categories: severe vulnerability level, medium vulnerability level and low vulnerability level. Reliability and vulnerability are related concepts; most roads are classified in the acceptable level of vulnerability so that the city's road network vulnerability from this study can be generally defined as the average level of vulnerability. © 2022 JUST. All Rights Reserved.