Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99824
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorSadeghi, Jen_US
dc.creatorOghabi, Men_US
dc.creatorSarvari, Hen_US
dc.creatorSabeti, MSen_US
dc.creatorKashefi, Hen_US
dc.creatorChan, DWMen_US
dc.creatorLotfata, Aen_US
dc.date.accessioned2023-07-24T01:01:56Z-
dc.date.available2023-07-24T01:01:56Z-
dc.identifier.issn1759-5908en_US
dc.identifier.urihttp://hdl.handle.net/10397/99824-
dc.language.isoenen_US
dc.publisherEmerald Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Sadeghi, J., Oghabi, M., Sarvari, H., Sabeti, M. S., Kashefi, H., Chan, D. W. M., & Lotfata, A. (2023). A hybrid risk assessment approach for assessing the earthquake risks in worn-out urban fabrics: a case study in Iran. International Journal of Disaster Resilience in the Built Environment, 14(2), 193-211 is published by Emerald and is available at https://doi.org/10.1108/IJDRBE-09-2021-0128.en_US
dc.subjectEarthquake risksen_US
dc.subjectIntuitionistic fuzzy setsen_US
dc.subjectIranen_US
dc.subjectProbability impacten_US
dc.subjectProbability impact methoden_US
dc.subjectRisk assessmenten_US
dc.subjectWorn-out urban fabricsen_US
dc.titleA hybrid risk assessment approach for assessing the earthquake risks in worn-out urban fabrics : a case study in Iranen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage193en_US
dc.identifier.epage211en_US
dc.identifier.volume14en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1108/IJDRBE-09-2021-0128en_US
dcterms.abstractPurpose: To reduce financial and human losses, managing risks associated with earthquakes is essential in practice. However, in using common risk management methods, experts are often faced with ambiguities that can create profound challenges for risk management. Therefore, it is necessary to develop a logical and straightforward risk assessment model to provide scientific and accurate answers to complex problems. This study aims to recommend an innovative combined method based on the probability-impact (P-I) approach and intuitionistic fuzzy set theory to identify and prioritize the essential earthquake risks associated with worn-out urban fabrics in the context of Iran.en_US
dcterms.abstractDesign/methodology/approach: The opinions of 15 experts in the fields of civil engineering and urban construction were gathered during brainstorming sessions. These brainstorming sessions were conducted to determine the probability of risks and the effect of identified risks. After calculating the severity of risks using the P-I approach and converting them to intuitionistic fuzzy sets, the risks were measured and prioritized based on their individual scores.en_US
dcterms.abstractFindings: The study results indicated that risk of damage due to buildings’ age and flooding risk had the highest and lowest priorities in causes of financial damage, respectively. Furthermore, the risk of damage due to building quality (demolition) and building age was the most important. The risk of flooding and damage to communication networks has the lowest importance among causes of fatalities in worn-out urban fabrics.en_US
dcterms.abstractOriginality/value: The study findings and recommendations can be served as a policy and consultative instrument for the relevant stakeholders in the area of urban management.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of disaster resilience in the built environment, 21 Mar. 2023, v. 14, no. 2, p. 193-211en_US
dcterms.isPartOfInternational journal of disaster resilience in the built environmenten_US
dcterms.issued2023-03-21-
dc.identifier.scopus2-s2.0-85121769232-
dc.identifier.eissn1759-5916en_US
dc.description.validate202307 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1405, a2290en_US
dc.identifier.SubFormID44869, 47350en_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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