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Natural disasters, which are part of the process of human life, pose a major challenge to the sustainable development of human societies. On the other hand, the unsuccessful implementation of urban regeneration schemes has led to a new phenomenon called sustainability in urban projects, with major approaches to sustainability being the revitalization of urban contexts and the emphasis on regeneration. Therefore, in the present study, quantitative planning matrix has been used to evaluate the regeneration of the worn-out neighborhoods of Faraj city in order to enhance the physical resilience. . The research method in this study is descriptive - analytical and for collecting information besides library documents and studies, questionnaire was used which was distributed among a sample of 30 urban experts. Based on data analysis, Shannon entropy was used to evaluate the physical resilience of Faroj's worn-out tissue sites, and then the studied sites were prioritized in terms of physical resilience. Afterwards, the Vicour method was used to rank the Farouq worn-out tissue localities in terms of physical resilience. Based on the Shannon entropy, it has been concluded that neighborhoods 5 and 7 have been prioritized for physical resilience. Also based on the Vikor method, it has been found that out of the four quarters of the worn-out Faroj textile, the number seven neighborhood has the highest resilience.

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Themain purpose of this research is to analyze status of resilience indicesin the worn out and old fabricof Farujcity. Inthis regard, 32 indicators in four dimensions of physical-environmental, social, economic and institutional-managerial were selected based on theoretical studies of the research. In the next step, a questionnairebased on these indicators was designed and distributed among the residents of the study area. A total of 380 households participated in completion of questionnaires. Then, the collected data were entered into SPSS and analyzed by single sample t-test.Four dimensions of resilience were compared with each other and based on average scores. The results indicated that resilience in the institutional-management dimension with the average score of 2.70 is ranked first. Thesecond rank of resilience was for the physical-environmental dimension with a mean score of 2.47. Finally, social and economic dimensions were ranked third and fourth, respectively. Inanother section of the study, the importance coefficient of each indicator was estimated based on experts' opinions. Then, the results were integrated and indicators with higher priorities were identified. In this method, we are looking for indicators with a low average score but a high coefficient of importance. Based on the analysis, we found nine indicators with these characteristics, of which we can refer to indicators such as access to temporary accommodation, awarenessabout the occurrence of natural and human disasters in the neighborhood, the level of awareness about reactions, how to behave appropriately during the crisis, job security, financial strength of residentsto participate in resolving the crisis, and the extent to which the insurance organizations support the residents.