A Spatial Decision Support System for Modeling Urban Resilience to Natural Hazards

A major component of urban management is studying and evaluating resilience in order to minimize the effects natural hazards. This because increasing number hazards occurring worldwide. spatial decision support system presented for modeling selecting resilient zones response implemented based on 22 criteria, grouped into three categories: demographics, infrastructure, environmental. The criteria are then standardized using minimum maximum methods, their importance determined by analytical hierarchy process (AHP). maps various scenarios prepared ordered weighted average (OWA) method. Flow accumulation (distance from fault), vulnerable population density (vulnerable density), distance road network (material type) were regarded as most important flood (earthquake resilience) environmental, demographic, infrastructure respectively. There different areas that considered have very low depending risk attitude. According a pessimistic scenario, 1% Tehran’s area has resilience, while according an optimistic 38% resilience. can be used planners policymakers purpose improving low-resilience areas.