Zoning the Urban Earthquake vulnerability using Fuzzy logic-AHP model (case study: Tabriz City)

Risk zoning is an important approach to the pre-crisis management process, which assists planners and managers to be prepared for reducing vulnerability. The key issue is the selection of vulnerability criteria and how these criteria are combined. It is also important to select the suitable model that can best illustrate the vulnerability. The city of Tabriz, from the viewpoint of size, industrial, economic, social and cultural conditions, is considered as the metropolis of northwest of the country, however, its proximity to a large and active fault has created an unfavorable condition for the city. In the present paper, using IDRISI and ArcGIS software, 15 selected criteria have been analyzed. Also, a combination of Fuzzy and AHP logic models were applied to analysis of vulnerability of urban areas and their population. The results showed that regions 10 and 1 of city municipality have the worst possible conditions respectively. Conformation of the results to the existing situation indicates the high accuracy of the chosen model for zoning the earthquake hazard.