Optimizing Emergency Shelter Selection in Earthquakes Using a Risk-Driven Large Group Decision-Making Support System
This study presents a novel risk-based decision support system for helping disaster risk management planners select the best locations for emergency shelters after an earthquake. The system starts by identifying 18 criteria, based on stakeholder analysis, that are important for selecting shelter sit...
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| Veröffentlicht in: | Sustainability 2023-03, Vol.15 (5), p.4019 |
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| creator | Bakhshi Lomer, Amir Reza Rezaeian, Mahdi Rezaei, Hamid Lorestani, Akbar Mijani, Naeim Mahdad, Mohammadreza Raeisi, Ahmad Arsanjani, Jamal Jokar |
| description | This study presents a novel risk-based decision support system for helping disaster risk management planners select the best locations for emergency shelters after an earthquake. The system starts by identifying 18 criteria, based on stakeholder analysis, that are important for selecting shelter sites. These criteria are then standardized to reflect their importance in the site selection process. Next, a Large Group Decision-Making (LGDM) model is used to determine the weight of each criterion based on collective intelligence. Finally, the Ordered Weighted Average (OWA) method is used to assess the suitability of different geographical locations for emergency shelters, resulting in a suitability map. The factors that were most significant for selecting the best emergency shelters were the distance from the fault, population density, access to green spaces, and building quality. The area of the optimal sites for emergency shelters in the region varied depending on the decision-maker’s risk attitude, ranging from 4% in an extremely pessimistic scenario to 28% in an extremely optimistic scenario. This system combines Geographic Information Systems (GIS) and LGDM to help decision-makers identify the optimal sites for emergency shelters under different risk levels, which can contribute to better-informed decision-making regarding disaster resilience. |
| doi_str_mv | 10.3390/su15054019 |
| format | Article |
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The system starts by identifying 18 criteria, based on stakeholder analysis, that are important for selecting shelter sites. These criteria are then standardized to reflect their importance in the site selection process. Next, a Large Group Decision-Making (LGDM) model is used to determine the weight of each criterion based on collective intelligence. Finally, the Ordered Weighted Average (OWA) method is used to assess the suitability of different geographical locations for emergency shelters, resulting in a suitability map. The factors that were most significant for selecting the best emergency shelters were the distance from the fault, population density, access to green spaces, and building quality. The area of the optimal sites for emergency shelters in the region varied depending on the decision-maker’s risk attitude, ranging from 4% in an extremely pessimistic scenario to 28% in an extremely optimistic scenario. This system combines Geographic Information Systems (GIS) and LGDM to help decision-makers identify the optimal sites for emergency shelters under different risk levels, which can contribute to better-informed decision-making regarding disaster resilience.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su15054019</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Attitudes ; Construction ; Criteria ; Decision making ; Disaster management ; Disasters ; Earthquakes ; Emergency housing ; Emergency management ; Emergency preparedness ; Evacuations & rescues ; Geographic information systems ; Geographical locations ; Green buildings ; Group decision support systems ; Intelligence (information) ; Location ; Methods ; Multiple criteria decision making ; Optimization ; Planning ; Population density ; Risk levels ; Risk management ; Safety and security measures ; Seismic activity ; Seismic engineering ; Shelters ; Site selection ; Stakeholder analysis</subject><ispartof>Sustainability, 2023-03, Vol.15 (5), p.4019</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-f383dcb67061ec8586e2de0fe1795f9238346ff55def21c77e81ee90a005446e3</citedby><cites>FETCH-LOGICAL-c368t-f383dcb67061ec8586e2de0fe1795f9238346ff55def21c77e81ee90a005446e3</cites><orcidid>0000-0002-3290-1351 ; 0000-0001-6347-2935</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Bakhshi Lomer, Amir Reza</creatorcontrib><creatorcontrib>Rezaeian, Mahdi</creatorcontrib><creatorcontrib>Rezaei, Hamid</creatorcontrib><creatorcontrib>Lorestani, Akbar</creatorcontrib><creatorcontrib>Mijani, Naeim</creatorcontrib><creatorcontrib>Mahdad, Mohammadreza</creatorcontrib><creatorcontrib>Raeisi, Ahmad</creatorcontrib><creatorcontrib>Arsanjani, Jamal Jokar</creatorcontrib><title>Optimizing Emergency Shelter Selection in Earthquakes Using a Risk-Driven Large Group Decision-Making Support System</title><title>Sustainability</title><description>This study presents a novel risk-based decision support system for helping disaster risk management planners select the best locations for emergency shelters after an earthquake. The system starts by identifying 18 criteria, based on stakeholder analysis, that are important for selecting shelter sites. These criteria are then standardized to reflect their importance in the site selection process. Next, a Large Group Decision-Making (LGDM) model is used to determine the weight of each criterion based on collective intelligence. Finally, the Ordered Weighted Average (OWA) method is used to assess the suitability of different geographical locations for emergency shelters, resulting in a suitability map. The factors that were most significant for selecting the best emergency shelters were the distance from the fault, population density, access to green spaces, and building quality. The area of the optimal sites for emergency shelters in the region varied depending on the decision-maker’s risk attitude, ranging from 4% in an extremely pessimistic scenario to 28% in an extremely optimistic scenario. This system combines Geographic Information Systems (GIS) and LGDM to help decision-makers identify the optimal sites for emergency shelters under different risk levels, which can contribute to better-informed decision-making regarding disaster resilience.</description><subject>Algorithms</subject><subject>Attitudes</subject><subject>Construction</subject><subject>Criteria</subject><subject>Decision making</subject><subject>Disaster management</subject><subject>Disasters</subject><subject>Earthquakes</subject><subject>Emergency housing</subject><subject>Emergency management</subject><subject>Emergency preparedness</subject><subject>Evacuations & rescues</subject><subject>Geographic information systems</subject><subject>Geographical locations</subject><subject>Green buildings</subject><subject>Group decision support systems</subject><subject>Intelligence (information)</subject><subject>Location</subject><subject>Methods</subject><subject>Multiple criteria decision making</subject><subject>Optimization</subject><subject>Planning</subject><subject>Population density</subject><subject>Risk levels</subject><subject>Risk management</subject><subject>Safety and security measures</subject><subject>Seismic activity</subject><subject>Seismic engineering</subject><subject>Shelters</subject><subject>Site selection</subject><subject>Stakeholder analysis</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVkUtrAjEQgJfSQsV66S8I9NTC2mSz2cdR1FrBIrj1vKTZyRp1HybZUvvrG7HQOjnMkHzfDGQ8757gIaUpfjYdYZiFmKRXXi_AMfEJZvj6X33rDYzZYheUkpREPc8uW6sq9a3qEk0r0CXU4oiyDewtaJTBHoRVTY1UjaZc282h4zswaG1OAkcrZXb-RKtPqNGCOxvNdNO1aAJCGef5b3x3IrOubRttUXY0Fqo770byvYHBb-5765fp-_jVXyxn8_Fo4QsaJdaXNKGF-IhiHBEQCUsiCArAEkicMpkG7jmMpGSsABkQEceQEIAUc-x-IYyA9r2Hc99WN4cOjM23TadrNzIP4oQFIQ0oc9TwTJV8D7mqZWM1F-4UUCnR1CCVux_FIUmcEFInPF4IjrHwZUveGZPPs9Ul-3RmhW6M0SDzVquK62NOcH7aWv63NfoD58SI9A</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Bakhshi Lomer, Amir Reza</creator><creator>Rezaeian, Mahdi</creator><creator>Rezaei, Hamid</creator><creator>Lorestani, Akbar</creator><creator>Mijani, Naeim</creator><creator>Mahdad, Mohammadreza</creator><creator>Raeisi, Ahmad</creator><creator>Arsanjani, Jamal Jokar</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-3290-1351</orcidid><orcidid>https://orcid.org/0000-0001-6347-2935</orcidid></search><sort><creationdate>20230301</creationdate><title>Optimizing Emergency Shelter Selection in Earthquakes Using a Risk-Driven Large Group Decision-Making Support System</title><author>Bakhshi Lomer, Amir Reza ; Rezaeian, Mahdi ; Rezaei, Hamid ; Lorestani, Akbar ; Mijani, Naeim ; Mahdad, Mohammadreza ; Raeisi, Ahmad ; Arsanjani, Jamal Jokar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-f383dcb67061ec8586e2de0fe1795f9238346ff55def21c77e81ee90a005446e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Attitudes</topic><topic>Construction</topic><topic>Criteria</topic><topic>Decision making</topic><topic>Disaster management</topic><topic>Disasters</topic><topic>Earthquakes</topic><topic>Emergency housing</topic><topic>Emergency management</topic><topic>Emergency preparedness</topic><topic>Evacuations & rescues</topic><topic>Geographic information systems</topic><topic>Geographical locations</topic><topic>Green buildings</topic><topic>Group decision support systems</topic><topic>Intelligence (information)</topic><topic>Location</topic><topic>Methods</topic><topic>Multiple criteria decision making</topic><topic>Optimization</topic><topic>Planning</topic><topic>Population density</topic><topic>Risk levels</topic><topic>Risk management</topic><topic>Safety and security measures</topic><topic>Seismic activity</topic><topic>Seismic engineering</topic><topic>Shelters</topic><topic>Site selection</topic><topic>Stakeholder analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bakhshi Lomer, Amir Reza</creatorcontrib><creatorcontrib>Rezaeian, Mahdi</creatorcontrib><creatorcontrib>Rezaei, Hamid</creatorcontrib><creatorcontrib>Lorestani, Akbar</creatorcontrib><creatorcontrib>Mijani, Naeim</creatorcontrib><creatorcontrib>Mahdad, Mohammadreza</creatorcontrib><creatorcontrib>Raeisi, Ahmad</creatorcontrib><creatorcontrib>Arsanjani, Jamal Jokar</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bakhshi Lomer, Amir Reza</au><au>Rezaeian, Mahdi</au><au>Rezaei, Hamid</au><au>Lorestani, Akbar</au><au>Mijani, Naeim</au><au>Mahdad, Mohammadreza</au><au>Raeisi, Ahmad</au><au>Arsanjani, Jamal Jokar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimizing Emergency Shelter Selection in Earthquakes Using a Risk-Driven Large Group Decision-Making Support System</atitle><jtitle>Sustainability</jtitle><date>2023-03-01</date><risdate>2023</risdate><volume>15</volume><issue>5</issue><spage>4019</spage><pages>4019-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>This study presents a novel risk-based decision support system for helping disaster risk management planners select the best locations for emergency shelters after an earthquake. 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| subjects | Algorithms Attitudes Construction Criteria Decision making Disaster management Disasters Earthquakes Emergency housing Emergency management Emergency preparedness Evacuations & rescues Geographic information systems Geographical locations Green buildings Group decision support systems Intelligence (information) Location Methods Multiple criteria decision making Optimization Planning Population density Risk levels Risk management Safety and security measures Seismic activity Seismic engineering Shelters Site selection Stakeholder analysis |
| title | Optimizing Emergency Shelter Selection in Earthquakes Using a Risk-Driven Large Group Decision-Making Support System |
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