Regression Analysis of Resilience by Stepwise Multivariate and Hierarchical AHP Technique from Earthquake Crisis Perspective, (Case Study: Ilam City)

Earthquake is a phenomenon, a natural phenomenon that itself can not have the ability to crash. Accurate preparation and planning to estimate vulnerability and control and reduce earthquakes can be a determinant of degree of crisis. Resilience as the ability of the urban system to withstand crises is a way to strengthen human societies.The city of Ilam is located in a large seismic zone in western Iran and has fourteen urban areas. Based on the necessity of the subject, the above hypothesis is proposed that there is a difference and inequality between the urban areas of Ilam in terms of earthquake resilience.The above research method is a combination of descriptive-analytical and case study methods There are differences and inequalities between urban areas of Ilam in terms of earthquake resilience. Which has been done using Multivariate and Hierarchical AHP Technique and multivariate regression analysis with the help of GIS and SPSS software And has analyzed the spatiality of Ilam city. The results of the research have shown that based on the average risk-aversion calculation in Ilam city, the AHP model was equal to 0/281 percent. That is the whole area of one and two cities of Ilam includes areas of one-one, one-two, one-three, one-four and one-two and one and two have the highest levels of resilience and in contrast to almost all areas in zone three and four, the degree of resilience was less than the average of the total city of Ilam. And of the seven variables studied, educational spaces and green spaces are most affected in the summer of the city. Significance in the present study is less than 0.05 Which indicates the significance of regression analysis And the average results of the models confirm the research hypothesis. Also, residential buildings located in areas two-1, three-2 have the most resilience And residential buildings located in areas 4-2 and 3-3 have the lowest resilience.