Document Type : *
Authors
1 Ph.D. Student, Department of Urbanism, Tabriz Branch, Islamic Azad University, Tabriz, Iran
2 Assistant professor, Department of Architecture & Urbanism, Tabriz branch, Islamic Azad University, Tabriz, Iran
3 Associate professor, Department of Architecture & Urbanism, Tabriz branch, Islamic Azad University, Tabriz, Iran
Abstract
One of the main challenges in achieving sustainability in cities is natural and unnatural hazards, which can cause irreparable damage to different dimensions of cities in case of lack of awareness and preparation. In the meantime, vital infrastructures are an important factor in increasing damages and also one of the main elements of recovering the effects of various hazards, and making them resilient is considered one of the necessities of the city planning system. In this regard, In this regard, the present research was written with the aim of evaluating the management of critical infrastructures with an emphasis on the resilience approach in Pounak neighborhood of Tehran. Therefore, the research method is applied from the point of view of the objective and from the point of view of analytical-exploratory nature, in order to analyze the information, have been used structural equation modeling in Amos software and multi-criteria decision-making technique of DEMATEL. The statistical community of the research also includes experts and specialists in urban issues of the region 5 of Tehran municipality and the district 3 of this region, and the sample size was determined using Cohen's method of 60 people. The findings of the research indicate that the variables of strength of local infrastructure, establishment and accessibility with a critical value greater than 1.96 at the 95% confidence level have a favorable situation and the recovery and management structure of local infrastructure with a critical value of less than 1.96 has an unfavorable situation in Pounak neighborhood of Tehran. Also, the infrastructure management structure variable has the most influence and the recovery variable has the most influence. The results also show that the disability recovery variable and the variables of management structure of local infrastructure, strength and establishment and access are the causal variables.
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