@article { author = {Farzane, O. Jeddi}, title = {Assessment of urban resilience in residential neighborhoods (Case study: Raste-Kuche neighborhood)}, journal = {International Journal of Urban Management and Energy Sustainability}, volume = {2}, number = {3}, pages = {1-11}, year = {2021}, publisher = {Iranian Sustainable Building Scientific Association}, issn = {2538-1628}, eissn = {2538-1636}, doi = {10.22034/jumes.2022.249024}, abstract = {Nowadays, Urban settlements are experiencing gradual and, in some cases, sudden changes, which cause a lot of damage. However, by studying these effects before crisis occur and planning and planning to prevent these cases, it is possible to increase the tolerance of cities against accidents, which is called resilience. Resilience is a multi-dimensional concept and does not have based criteria and frameworks. In the present study, with the purpose of assessment the urban resilience of the residential neighborhood of Raste-kuche, located in District 8 of Tabriz, based on the indicators and criteria extracted from the existing theoretical foundations and frameworks. Data collection was done in the form of libraries (documentary and statistical) and survey. Measurement calculations in the form of maps and tables and assessment of social and institutional dimensions of 375 questionnaires by researcher-made method in Likert scale on ranking scale, as a sample size based on Cochran's formula with an error rate of 5% (95% confidence interval) in a simple random manner Distributed. The numerical value of the indicators in this study is expressed as a percentage to eliminate the need to normalize the indicators and by defining the optimal limit (the degree of resilience of global resilience samples) for each index, the resilience distance of each index with the optimal limit is obtained and the results indicate Due to the low level of resilience in the neighborhood, the distance from the optimal limit is very high in some indicators, and in preparing plans and plans, worse cases should be prioritized.}, keywords = {resilience,Urban Resilience,resilience models,optimal limit}, url = {https://www.ijumes.com/article_249024.html}, eprint = {https://www.ijumes.com/article_249024_4875261ec7e64ec95a62a777c405c569.pdf} }