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Development of an integrated model for seismic vulnerability assessment of residential buildings: Application to Mahabad City, Iran

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TLDR
An integrated model for the seismic vulnerability assessment of residential buildings based on the analytical hierarchy process (AHP) in geographic information system (GIS) is proposed and can be considered as a significant tool to confront crises resulting from future earthquakes.
Abstract
There is incomplete knowledge about seismic vulnerability assessment of residential buildings due to the complexity and multiplicity of effective parameters The lack of an integrated model with all effective parameters for such assessment limits the possibility of policy-making and decision-making toward earthquake risk mitigation and disaster risk reduction This paper is a response to this need and proposes an integrated model for the seismic vulnerability assessment of residential buildings based on the analytical hierarchy process (AHP) in geographic information system (GIS) The methodology integrates five main group-parameters -- geotechnical and seismological, social, distance to dangerous facilities, and access to vital facilities -- with their related sub-parameters To evaluate the practicability and applicability of the newly developed model, it was used for Mahabad city, Iran The obtained vulnerabilities for the city were mapped in GIS and the same were visualized in the 3D city model for residential buildings The developed model can be considered as a significant tool to confront crises resulting from future earthquakes

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Journal ArticleDOI

Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia

TL;DR: In this article, the authors developed an integrated model by using the artificial neural network-analytic hierarchy process (ANN-AHP) model for constructing the earthquake risk map, which can map the earthquake probability based on historical events with an accuracy of 84%.
Journal ArticleDOI

A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment

TL;DR: A new hybrid framework using Analytic Network Process (ANP) and Artificial Neural Network (ANN) models for constructing a composite social, economic, environmental, and physical vulnerability index was applied to Tabriz City, which is a seismic-prone province in the northwestern part of Iran with recurring devastating earthquakes and consequent heavy casualties and damages.
Journal ArticleDOI

Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran

TL;DR: The hybrid FAHP-ANN model accurately identified the highest earthquake vulnerability in densely populated areas with dilapidated building infrastructure and is useful for decision makers with a scientific basis to develop earthquake risk management strategies.
Journal ArticleDOI

Earthquake vulnerability assessment in Northern Sumatra province by using a multi-criteria decision-making model

TL;DR: This study aims to evaluate the earthquake vulnerability assessment (EVA) in Banda Aceh by using the multi-criteria decision-making approach through an analytical hierarchy process and VIseKriterijumska Optimizacija I Kompromisno Resenje method using a geographical information system.
Journal ArticleDOI

Seismic response of shallow foundations over liquefiable soils improved by deep soil mixing columns

TL;DR: In this article, the authors evaluated the seismic response of a shallow foundation including bearing capacity and settlement over a single DSM column in terms of its diameter and depth and also DSM group columns in terms with the diameter of columns and their center-to-center distance.
References
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Development of seismic vulnerability assessment methodologies over the past 30 years

TL;DR: In this article, the authors take a look at some of the most significant contributions in the field of vulnerability assessment and identify the key advantages and disadvantages of these procedures in order to distinguish the main characteristics of an ideal methodology.
Journal ArticleDOI

Seismic vulnerability and risk evaluation methods for urban areas. A review with application to a pilot area

TL;DR: The most relevant seismic vulnerability and risk analysis methods are discussed and compared in this article using, as a pilot urban area, the city of Barcelona, Spain, where risk studies have been carried out over the last 15 years in the framework of different research projects.
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Seismic vulnerability assessment of historical urban centres: case study of the old city centre in Seixal, Portugal

TL;DR: In this paper, the authors applied a simplified methodology to the old city centre of Seixal in Portugal to assess the seismic vulnerability of masonry buildings and found that over 500 buildings were assessed using this methodology, and the results were analyzed using an integrated Geographical information system tool.
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Multi-criteria vulnerability analysis to earthquake hazard of Bucharest, Romania

TL;DR: In this paper, the authors developed a spatial vulnerability approach to address earthquake risk, using a semi-quantitative model using the analytical framework of a spatial GIS-based multi-criteria analysis.
Journal ArticleDOI

An integrated earthquake vulnerability assessment framework for urban areas

TL;DR: An integrated urban earthquake vulnerability assessment framework, which considers vulnerability of urban environment in a holistic manner and performs the vulnerability assessment for the neighborhood scale, is proposed and implemented for Eskisehir, which is one of the metropolitans of Turkey.
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