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Volume 32, Issue 4 (2018)
GeoRes 2018, 32(4): 86-104 |
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Received: 2017/07/15 | Accepted: 2017/11/8 | Published: 2018/03/17
Received: 2017/07/15 | Accepted: 2017/11/8 | Published: 2018/03/17
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Noruzi A, Sarvar R, Mahdavihajilouie M. Evaluation of Effective Social Components in Resilience of District 12 of Tehran. GeoRes 2018; 32 (4) :86-104
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1- Department of Geography and Urban planning, Islamic Azad University, Science and Research Branch, Tehran, Iran
Abstract (6097 Views)
Today, local communities are struggling to find conditions that will allow them to return quickly to the pre-crisis situation in the event of a crisis. In recent years, emphasis has been placed on the issue of resilience rather than vulnerability. In this regard, one of the most important components of local community resilience is the social component. The research method is based on the purpose, of the applied type, using a descriptive-analytical method to identify the indices and factors affecting the component of social resilience. Finally, evaluation the neighborhoods in District 12 of Tehran will be discussed. Therefore, firstly, the indicators and effective factors of social resilience were identified and defined practically, and then, using the questionnaire in the form of AHP, the weights of the indices were determined by local experts. With simultaneous analysis of spatial and non-spatial data in the area for the ranking of 13 neighborhoods, using the entropy method, the effect of each of the indices in the neighborhood level has been studied in terms of resilience. Then, using the FAHP hierarchical analysis, the method of analyzing the gray ratio to the social component analysis at the level of the six areas has been analyzed, and the results of these analyses have led to the identification of the most resilient area in the region. Presentation of data analysis using tools such as GIS and spatial analysis models and methods of statistical analysis is done. The results indicate a low level of resilience against crises for the whole region. From the constructive and effective components of socio-cultural resilience, the demographic characteristics index has the most impact in increasing the level of localization and District 5 is the most resilient area in the region.
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