Identification and Analysis of Drivers Affecting Urban Isolation with a Structural Analysis Approach

This research aims to analyze and identify the drivers affecting urban social isolation using a structural analysis approach. The research method is explanatory and applied in terms of its objective. The statistical population consists of the scientific literature related to urban social isolation and the opinions of experts in this field. Data were collected using the Delphi technique. The MICMAC method was used to analyze and rank the factors. This method analyzes the complex relationships between variables and provides diagrams such as the influence-dependence diagram. The results showed that job instability is the most important factor affecting urban social isolation, directly and indirectly influencing other variables. Lack of trust in others, increased divorce rates, social withdrawal, and inadequate provision of social services were identified as other important factors. The findings are consistent with the existing literature on urban social isolation and emphasize the role of personal, socio-economic, and environmental factors in shaping isolation. These factors must be addressed simultaneously to reduce isolation and improve the quality of life in cities. The findings of this research can contribute to enhancing knowledge and awareness about urban social isolation, identifying the factors affecting it, and providing solutions to reduce this phenomenon. This can pave the way for adopting appropriate policies and measures to combat urban social isolation and improve the quality of life of urban residents