scholarly journals Vulnerability Assessment of Buildings against Earthquake Case Study: Qadghoon Neighborhood, Borujerd, Iran

2020 ◽  
pp. 311-322

INTRODUCTION: The buildings, as the main and most abundant elements in cities, have great importance in two aspects of assessing and mitigating the vulnerability at disaster incidence. On the other hand, the emphasis of post disaster reconstruction engineers on the single-scale building has compounded the importance of building in terms of planning to reduce the damages of disaster incidence. METHODS: This quantitative-descriptive study was conducted documentary studies and extraction of priority indicators determining the degree of vulnerability. This research aimed to assess the vulnerability of Qadghoon buildings, one of the historical neighborhoods of Borujerd, Lorestan Province, Iran, which was damaged and reconstructed after the 2007 earthquake, for more than a decade. FINDINGS: The data obtained from the field study of this neighborhood were analyzed after entering into GIS software and weighted by Analytic Hierarchy Process-Delphi. The provided maps were evaluated and the vulnerability score obtained from indicators was weighted by the above method. Finally, the score of vulnerabilities in neighborhoods in the range of 0-5 Likert scale was calculated at 3.5208, which indicated a moderate increase in vulnerability. CONCLUSION: After the examination of actions taken in the post-earthquake reconstruction process, reduction of vulnerability evaluation was low. This result indicated the failure of operators to reduce the vulnerability on a scale of buildings, despite the large opportunities and resources. In addition to lessons from the present study, some suggestions were provided to improve the process of reconstruction after possible disasters in the future. Keywords: Borujerd; Earthquake; Qadghoon Neighborhood; Single-scale of Building; Vulnerability Assessment.

2009 ◽  
Vol 9 (5) ◽  
pp. 1557-1565 ◽  
Author(s):  
F. Dall'Osso ◽  
M. Gonella ◽  
G. Gabbianelli ◽  
G. Withycombe ◽  
D. Dominey-Howes

Abstract. The Papathoma Tsunami Vulnerability Assessment (PTVA) Model (Papathoma, 2003) was developed in the absence of robust, well-constructed and validated building fragility models for assessing the vulnerability of buildings to tsunami. It has proven to be a useful tool for providing assessments of building vulnerability. We present an enhanced version (PTVA-3) of the model that takes account of new understanding of the factors that influence building vulnerability and significantly, introduce the use of the Analytic Hierarchy Process (AHP) for weighting the various attributes in order to limit concerns about subjective ranking of attributes in the original model. We successfully test PTVA-3 using building data from Maroubra, Sydney, Australia.


Author(s):  
Leandro Pecchia ◽  
Jennifer L Martin ◽  
Angela Ragozzino ◽  
Carmela Vanzanella ◽  
Arturo Scognamiglio ◽  
...  

2012 ◽  
Vol 1 (2) ◽  
pp. 80-92 ◽  
Author(s):  
Chintala Venkateswarlu ◽  
A. K. Birru

Quality function deployment (QFD) is a methodology that extracts client demands (CDs) and inducting them in the final service/product. Once CDs are extracted from client the traditional QFD approach uses absolute importance to identify the degree of importance for each CD. Direct evaluation of CDs based on absolute weighting without tradeoffs is easy to perform, but may lead to serious deviations from reality. An alternative to avoid this problem is to adopt the analytic hierarchy process (AHP) approach. In this paper, an integrated model combining AHP and QFD has been delineated as a quality achievement tool in healthcare. A case study is performed on the healthcare services provided by government general hospital, Indore District, Madhya Pradesh, India and data has been analyzed to benchmark the proposed framework by computing the degree of relative importance for CDs through AHP and incorporating them in subsequent deployment matrices.


2012 ◽  
Vol 9 (1) ◽  
pp. 81-106 ◽  
Author(s):  
Erki Eessaar ◽  
Marek Soobik

It is possible to produce different database designs based on the same set of requirements to a database. In this paper, we present a decision support method for comparing different database designs and for selecting one of them as the best design. Each data model is an abstract language that can be used to create many different databases. The proposed method is flexible in the sense that it can be used in case of different data models, criteria, and designs. The method is based on the Analytic Hierarchy Process and uses pairwise comparisons. We also present a case study about comparing four designs of SQL databases in case of PostgreSQL? database management system. The results depend on the context where the designs will be used. Hence, we evaluate the designs in case of two different contexts - management of measurements data and an online transaction processing system.


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