Risk assessment for urban area using fuzzy logic

Abstract

Regarding the complexity of natural disasters in cities and the urgent need to employ methods in order to reduce the risk in residential areas, the risk management as a new and effective method in preventing and preparation for critical situations, has been employed in different ways throughout the world. Risk management includes a set of processes needed for identification, analysis and reaction against the crisis that aims at maximization of desired goals and minimization of risks and adverse consequences. This paper intends to present a GIS-based fuzzy approach for risk assessment in residential areas. Places such as medical centers and parks are effective factors in reducing the risk and the gas stations and high voltage power stations are factors that increase the risk. Now regarding the distance between each urban feature and the above features, fuzzy linguistic variables are defined and according to the rules extracted by expert, the risk of each feature is separately estimated and designed as a risk map for each area. Now with the help of this map, we can reduce the risk to which every building is subjected by constructing the needed centers and also fortification plans. © Gi4DM 2011 - GeoInformation for Disaster Management.All right reserved.