Assessment of social resilience in villages around Urmia city

Mosavi, Mir Najaf; Kamelnia, Roya

Assessment of social resilience in villages around Urmia city

Document Type : Origional Article

Authors

Mir Najaf Mosavi ¹ ^¶

Roya Kamelnia ²

¹ Professor, Geography, Urmia University, Urmia, Iran

² PhD Candidate, geography and lamd use planning, Urmia University, Urmia, Iran

Abstract

Background and Aim: Social resilience is one of the approaches that has become very important nowadays in order to reduce injuries. Due to its central role, Urmia city has attracted immigrants and a large number of them settled in the villages on the outskirts of the city. This has led to the unplanned growth and vulnerability of these villages. The purpose of this research is to analyze the dimensions of social resilience in reducing human risks in the villages on the outskirts of 3 km of Urmia.
Methodology: analyze the dimensions of social resilience in reducing human risks in the villages on the outskirts of 3 km of Urmia. The descriptive-analytical research method is the statistical population of the residents of the studied villages and the sample size is 374 people from the heads of the household based on the Cochran formula. The data collection tools are documents and questionnaires. To analyze the data, structural equation modeling was used using LISREL software.
Findings and Conclusion: The results of modeling the structural equations of social resilience of villages based on the estimation of the standardized coefficients of the structural model of the research, a significance level of 0.021 has been obtained, which indicates the optimal fit of the model, and based on the research findings, the effects of the participation factor on social resilience with the coefficient direct and positive 0.98, the effect of the knowledge and awareness factor on the social resilience of the villages in question with a direct and positive coefficient of 0.97, and the trust index for social resilience with a positive coefficient of 0.98, the belonging factor with a direct and positive coefficient of 0.98, the effect of the credit index on resilience Social resilience with a direct and positive coefficient of 0.93, and finally the economic factor with the greatest impact with a direct and positive coefficient of 0.99 have an effective role in the social resilience of villages against hazards.

Keywords

social resilience

village

human hazards

Urmia

Subjects

Regional & urban planning

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