An Analysis of the Vulnerability of Tehran Urban Blocks to Earthquake Via Designing and Implementing a Location-Base Model

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Urban Planning-Passive Defense, Superme National Defense University, Tehran

2 PhD Student, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran

Abstract

The vulnerability appraisal is one of the prerequisites of risk analysis in disaster management. Vulnerability to earthquake, especially in urban areas, has increased over years due to the existence of complex urban structures and rapid development. In order to take preemptive measures and reduce the damages of earthquake, the determination of vulnerable areas and implementation of necessary measures seem inevitable. Accordingly, the present study set out to examine the vulnerability of Tehran urban blocks via a location-base model. To attain this objective, first the criteria effective on the evaluation of earthquake vulnerability were divided into three groups, namely exposure, sensitivity, and adaptation capability (16 location criteria in general). Using the expert opinions and network analysis model, the importance of each of the criteria was determined. Fuzzy functions and ordered weighted averaging method were used to normalize the criteria map and develop vulnerability maps under various scenarios. Finally, the sensitivity analysis of the criteria was carried out. The results showed that vulnerable population density and average slope were the criteria with the most and least importance, respectively. The vulnerability maps demonstrated that the areas to the north of the area under study are in the vulnerable class under all scenarios. The stability and dependability of the output results were assessed using sensitivity analysis. The results indicated that changing the weight of the criteria does not have a significant effect on the model outputs, a finding that clearly proves the stability of the model.

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Main Subjects


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Volume 14, Issue 2
Autumn & Winter
October 2022
Pages 679-708
  • Receive Date: 21 August 2022
  • Revise Date: 24 October 2022
  • Accept Date: 24 October 2022