Analytical Review of Urban Resilience in the 5th District of Tabriz Metropolitan

Document Type : Research Article (Applied - Development)

Authors

1 Associate Professor of Geography and Urban Planning, Department of Geography an Urban Planning, University of Tabriz, Tabriz, Iran

2 Department of Urban and Regional Planning of tabriz university

3 tabriz university

10.22103/jusg.2025.21452

Abstract

The current research is descriptive-analytical in terms of method and has a developmental-applicative nature. The data required for the research has been collected using library studies, field surveys and questionnaires. The statistical population of the research includes the citizens of District 5 of Tabriz Metropolitan. The sample size was estimated to be 342 people using the structural equation model and gamma exponential method. A number of 37 observed indicators of urban resilience were examined in the form of 4 latent social, economic, institutional-management and physical-infrastructure indicators. In this research, by using multiple regression test in SPSS software, latent indicators and based on the test of factor loadings in LISREL software, observed indicators were prioritized and summarized based on the degree of importance and influence, and to prepare a map of effective indicators, from Fuzzy logic model is used in GIS environment.The findings showed that in the resilience of the 5th District of Tabriz metropolitan, the latent social index with a beta coefficient of 0.384 (33.83%) is ranked first in importance, followed by the hidden physical-infrastructural, economic and institutional-managerial indicators to beta coefficients of 0.305 (26.87 percent), 0.267 (23.52 percent), and 0.179 (15.77 percent) are ranked second, third, and fourth in importance, respectively.The results showed that the north-western and central parts of the 5th Tabriz District have a better condition in terms of resilience and are placed in the middle and upper ranks,but the southern parts of the 5th Tabriz District have a bad condition in terms of resilience.

Keywords