Spatial analysis of resilience of urban areas against earthquak )Case study: Kermanshah city(

Document Type : Research Article


1 Ph.D. student, Department of Geography and Urban Planning, University Of Mohaghegh Ardabili, Ardabil, Iran

2 دانشگاه محقق اردبیلی

3 Professor of Department of Natural Geography, Faculty of Social Sciences, University Of Mohaghegh Ardabili, Iran


The expansion of the urban population to more than two-thirds of the world's population by 2050 on the one hand and the prediction of the growth of the risk of natural hazards in the future, on the other hand, necessitate the attention of managers, planners and urban policy makers to the issue of greater resilience of societies in the face of It shows natural hazards. Therefore the aim of the current research is to analyze the spatial resilience of urban areas against earthquakes in Kermanshah. The current research is of applied type and in terms of descriptive-analytical method. The statistical population of the research is the citizens of Kermanshah city, 385 people were selected as a statistical sample using Cochran's formula. And the methods of describing the frequency of dimensions and items and one-sample t-test, Friedman and Kruskal Wallis and CV method have been used for data analysis. The findings show; The resilience of Kermanshah city in all indicators (awareness, knowledge, skills, attitude and social capital) is average, also the attitude index has the most importance in resilience and the indicators; Awareness, social capital, knowledge and skill are in the next ranks. The results of the Kruskal-Wallis test also show that there is a significant difference between the eight regions in Kermanshah metropolis in terms of all resilience indicators and that the status of the eight regions are not at the same level. Among the indicators, the highest inequality is related to the awareness index and the lowest is related to the social capital index. In general, the spatial analysis of resilience in Kermanshah city is average and there are differences between regions.