Strategy

Strategy

Developing a Strategic Framework for Physical Resilience Against Earthquake Risk (Case Study: District 12, Tehran)

Document Type : Research Paper

Authors
Farnaz Ghazi 1
Hossein Zabihi 2
Hamid Majedi 2
1 Department of Urban Planning, Research Sciences Branch, Islamic Azad University, Tehran, Iran
2 Urban development department, science and research branch, Islamic Azad University, Tehran, Iran
10.22034/rahbord.2024.446597.1655
Abstract
The primary objective of the current study is to develop a strategic framework for assessing the capacity of physical resilience. To achieve this, a combination of qualitative and quantitative methods was employed. In the qualitative phase, indicators were identified through a thorough literature review, while in the quantitative phase, these indicators were categorized based on their significance using structural interpretation equations. The relative weight of each index was then determined through network analysis. The research findings classify thirteen key indicators into three priority groups. Notably, indicators such as "the ratio of the nearest neighbor," "the degree of straightness of the pedestrian path," "the ratio of the dominant strength of the skeleton of the buildings in each block," and "the ratio of the average area of the block to the length of the block" belong to the first priority group. The index "soil type ratio (at a depth of 30-40 cm) to the volume envelope size of the block" falls into the second priority group, while the remaining indicators are in the third priority group. The study focused on two neighborhoods, Bazar and Harandi in the district 12 of Tehran, and the results indicate that both neighborhoods have very low resilience levels (85.93% for Bazar and 79.36% for Harandi) in the face of a Mercalli 6 earthquake. Finally, the study proposes policies based on indicators with the highest relative weight, aiming to provide city decision-makers with valuable insights for crisis management preparedness.
Keywords
Physical resilience
interpretive structural equations
MIC-MAC analysis
network analysis model
risk management

Subjects

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  • Receive Date 02 March 2024
  • Revise Date 01 July 2024
  • Accept Date 19 June 2024