Urban Planning
Maraym Ilanloo; EHSAN Sohrabi
Volume 3, Issue 3 , December 2022, , Pages 98-119
Abstract
Background and purpose: due to the rapid changes of cities, some of the urban tissues have not been able to communicate with their surroundings and provide services to the residents due to wear and tear. Today, the vulnerability of worn-out tissues to natural disasters is a global issue facing city managers. ...
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Background and purpose: due to the rapid changes of cities, some of the urban tissues have not been able to communicate with their surroundings and provide services to the residents due to wear and tear. Today, the vulnerability of worn-out tissues to natural disasters is a global issue facing city managers. Due to the conditions and the situation of the worn-out fabric of Javadieh neighborhood located in the 16th district of Tehran and the lack of attention and handling of the conditions of resilience against natural hazards, it is in a state of disarray. This research evaluates the resilience of the worn-out fabric of Javadieh neighborhood against natural disasters with an emphasis on earthquakes.Research method: The research is applied in terms of purpose and descriptive-analytical in terms of both documentary and survey methods. How and the degree of resilience of the worn-out tissue area of Javadiyeh against earthquake with eight criteria including; The permeability of the neighborhood, the age of the building, the number of floors, the density of the building, the density of the population, access to open space, the quality of the building and the area of the parts have been studied and analyzed.Findings and conclusions: The results of the analysis of the findings indicate that the resilience of the tissue Worn out against earthquakes, it is unsuitable. So, according to the building quality index and its importance against earthquakes, this index has the highest score and is equal to 0.256. The second priority is the permeability of the neighborhood, the score of this criterion in this research is equal to 0.248, and finally, the area of plots (0.045) has the lowest score.
