Examining the association between deteriorated urban fabric and socio-economic resilience in Tehran Metropolis
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Deteriorated urban areas usually face social, economic, and environmental problems. They often struggle with issues like poverty, inadequate housing, poor public spaces, social isolation and a sense of hopelessness, limited business opportunities, and a lack of investment. These complex problems cause significant disaster resilience challenges for these areas. This article investigates the association between urban deteriorated fabric (UDF) rate and socioeconomic resilience (SER) in the neighborhoods of Tehran Metropolis. Fourteen SER variables are identified through a literature review. Exploratory factor analysis is used to transform them into fewer factors. Four factors are extracted and are labelled as economic, social, economic-demographic, and community capital resilience. Similar extracted factors are combined to obtain social and economic resilience subcomponents. Jenks' Natural Break classification method is used to classify the UDF rate into five categories. Ordinary least squares (OLS) and Geographically Weighted Regression (GWR) are used to examine the association between UDF rate (dependent variable) and SER subcomponents (independent variables). The findings of the study show that: (a) the GWR better captures spatial relationships between UDF rate and SER factors than the OLS method, (b) the relationship between DUFs and social and economic resilience is complex and not definitively one-sided, and (c) social and economic resilience can occur concurrently in DUFs, (d) neighborhoods with high UFD rates are clustered in the mid-southern parts of the Tehran city. Understanding the interplay between social and economic resilience in DUFs is crucial for developing effective strategies to promote recovery and long-term disaster resilience and sustainability.
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