Application of CFA in explaining the resilience dimensions of new Habitations against earthquake risk (Case study: Isfahan metropolitan)

Fazlollah Karimi Ghotbabadi ¹ ( PhD Student of Geography and Urban Planning, Isfahan University, Isfahan, Iran )
Ali Zangiabadi ² ( Associate Professor of Urban Planning, Faculty of Geographical Science, University of Isfahan, Isfahan, Iran )

Submited date : 2022-09-18 Accepted date : 2022-12-05

Keywords: Resilience, Earthquake, CFA, New Habitations, Isfahan metropolitan,

Abstract :

Today, the occurrence of natural disasters causes irreparable damage to various aspects of human life, including residential, social, economic and .... The most widely accepted approach to dealing with these natural disasters is resilience. Resilience against natural disasters is how the geographical, social, economic, institutional, physical, etc. capacities of societies are affected against these disasters, which should be considered in every society. The purpose of this study is to explain the resilience dimensions of new settlements in the urban area of Isfahan against earthquakes using structural equation modeling. The type of applied research and the method of doing it is descriptive-analytical. The statistical population of this study includes 6 new urban Habitations of Shahin shahr, Majlesi, Sepahan shahr, Foolad shahr, Baharestan and Shahid Keshvari in the Isfahan metropolitan. The findings of this study show that of the 7 indices X2 / df, RMSEA, NFI, NNFI, CFI, IFI, GFI used in this study, only 2 indices X2 / df and RMSEA have acceptable conditions and the model The case study does not have a proper fit. Finally, through the saturation process, the fit indices were improved. In the process of saturation of the CFA, by removing the effect of external variables from the unexplained variance of the observed variables, the fit indices are improved and the model estimate is in a favorable position. After the saturation process, the fit indices were examined and it was found that all the fit indices used in the studied resilience dimensions are in good condition.