Revision and improvement of the PTVA-3 model for assessing tsunami building vulnerability using “international expert judgment”: introducing the PTVA-4 model
This work reviewed, assessed, enhanced and field-tested one of the most widely used index-based methods for assessing the vulnerability of buildings to tsunamis: the Papathoma Tsunami Vulnerability Assessment ( PTVA ) model. The review and assessment were undertaken through a participatory survey pr...
Gespeichert in:
Veröffentlicht in: | Natural hazards (Dordrecht) 2016-09, Vol.83 (2), p.1229-1256 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1256 |
---|---|
container_issue | 2 |
container_start_page | 1229 |
container_title | Natural hazards (Dordrecht) |
container_volume | 83 |
creator | Dall’Osso, F. Dominey-Howes, D. Tarbotton, C. Summerhayes, S. Withycombe, G. |
description | This work reviewed, assessed, enhanced and field-tested one of the most widely used index-based methods for assessing the vulnerability of buildings to tsunamis: the Papathoma Tsunami Vulnerability Assessment (
PTVA
) model. The review and assessment were undertaken through a participatory survey process engaging authors of scientific literature during 2005–2015 in the field of building vulnerability to tsunamis. Expert respondents updated the weights of the
PTVA
building vulnerability attributes based on their expertise and insights from the 2011 Tohoku Tsunami. The respondents were also free to suggest additional
PTVA
building attributes and to provide open comments on the model. We then analysed the outcomes of the questionnaire and we used them to generate a new improved version of the model, the
PTVA
-4, which we field-tested in the area of Botany Bay (Sydney), New South Wales. Using a cohort of over 2000 buildings and a tsunami scenario numerically simulated using state-of-the-art hydrodynamic modelling techniques, we applied the
PTVA
-4 model and compared the outcomes against its predecessor (i.e. the
PTVA
-3). Results showed the
PTVA
-4 model is significantly more accurate and more sensitive to variations in the tsunami demand parameter, the attributes of the exposed buildings and their surroundings. The
PTVA
-4 model is the first tool of its kind to integrate the judgment of specialised scientists worldwide. It constitutes a viable option to assess the vulnerability of buildings in areas where no tsunami vulnerability curves have been developed yet, or to consider the contribution to vulnerability given by a significantly wider range of building engineering and physical attributes. An ArcGIS toolbox that automatically calculates the relative vulnerability of buildings using the new
PTVA-4
model is attached to this paper. |
doi_str_mv | 10.1007/s11069-016-2387-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_sprin</sourceid><recordid>TN_cdi_proquest_miscellaneous_1835615849</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1835615849</sourcerecordid><originalsourceid>FETCH-LOGICAL-p222t-8355f735e36d49c319c4be055b7d10a91062dc7fc968ceef1eb2c5b1f88883c43</originalsourceid><addsrcrecordid>eNqNkc9qFTEUh4O04G3rA7gLuOkmmj-TmcRdKVaFglKquBsymTNtLpnMdZJc2l0fRBe-Wp_E3E6F0pVnc-DwcX7w-xB6zehbRmnzLjJGa00oqwkXqiH6BVox2QhCVUX30IpqzggV9MdLdBDjmlLGaq5X6M8FbF10U8Am9NiNm3nawggh4WnA6Rrw18vvJ0TgcerB42GasYkRYnThCqeYgxkd7rLz_e6wzT7AbDrnXbrF-QG6v_vlQoI5mFRSjMdws4E54XXur3Y593e_3-NCzFOf7cPXf6HVEnqE9gfjI7x63Ifo29mHy9NP5PzLx8-nJ-dkwzlPRAkph0ZIEHVfaSuYtlUHVMqu6Rk1utTDe9sMVtfKAgwMOm5lxwZVRthKHKLj5W-p4GeGmNrRRQvemwBTji0rCTWTqtL_gTKmVM1VXdA3z9D1lEsZfqE0lUVfofhCxc1cOoD5CUXbneB2EdwWwe1OcKvFX2gYnMc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1811905100</pqid></control><display><type>article</type><title>Revision and improvement of the PTVA-3 model for assessing tsunami building vulnerability using “international expert judgment”: introducing the PTVA-4 model</title><source>SpringerLink Journals - AutoHoldings</source><creator>Dall’Osso, F. ; Dominey-Howes, D. ; Tarbotton, C. ; Summerhayes, S. ; Withycombe, G.</creator><creatorcontrib>Dall’Osso, F. ; Dominey-Howes, D. ; Tarbotton, C. ; Summerhayes, S. ; Withycombe, G.</creatorcontrib><description>This work reviewed, assessed, enhanced and field-tested one of the most widely used index-based methods for assessing the vulnerability of buildings to tsunamis: the Papathoma Tsunami Vulnerability Assessment (
PTVA
) model. The review and assessment were undertaken through a participatory survey process engaging authors of scientific literature during 2005–2015 in the field of building vulnerability to tsunamis. Expert respondents updated the weights of the
PTVA
building vulnerability attributes based on their expertise and insights from the 2011 Tohoku Tsunami. The respondents were also free to suggest additional
PTVA
building attributes and to provide open comments on the model. We then analysed the outcomes of the questionnaire and we used them to generate a new improved version of the model, the
PTVA
-4, which we field-tested in the area of Botany Bay (Sydney), New South Wales. Using a cohort of over 2000 buildings and a tsunami scenario numerically simulated using state-of-the-art hydrodynamic modelling techniques, we applied the
PTVA
-4 model and compared the outcomes against its predecessor (i.e. the
PTVA
-3). Results showed the
PTVA
-4 model is significantly more accurate and more sensitive to variations in the tsunami demand parameter, the attributes of the exposed buildings and their surroundings. The
PTVA
-4 model is the first tool of its kind to integrate the judgment of specialised scientists worldwide. It constitutes a viable option to assess the vulnerability of buildings in areas where no tsunami vulnerability curves have been developed yet, or to consider the contribution to vulnerability given by a significantly wider range of building engineering and physical attributes. An ArcGIS toolbox that automatically calculates the relative vulnerability of buildings using the new
PTVA-4
model is attached to this paper.</description><identifier>ISSN: 0921-030X</identifier><identifier>EISSN: 1573-0840</identifier><identifier>DOI: 10.1007/s11069-016-2387-9</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Assessments ; Botany ; Buildings ; Catastrophes ; Civil Engineering ; Computer simulation ; Demand ; Earth and Environmental Science ; Earth Sciences ; Environmental Management ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Judgments ; Mathematical models ; Natural Hazards ; Original Paper ; Structural engineering ; Tsunamis</subject><ispartof>Natural hazards (Dordrecht), 2016-09, Vol.83 (2), p.1229-1256</ispartof><rights>Springer Science+Business Media Dordrecht 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11069-016-2387-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11069-016-2387-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Dall’Osso, F.</creatorcontrib><creatorcontrib>Dominey-Howes, D.</creatorcontrib><creatorcontrib>Tarbotton, C.</creatorcontrib><creatorcontrib>Summerhayes, S.</creatorcontrib><creatorcontrib>Withycombe, G.</creatorcontrib><title>Revision and improvement of the PTVA-3 model for assessing tsunami building vulnerability using “international expert judgment”: introducing the PTVA-4 model</title><title>Natural hazards (Dordrecht)</title><addtitle>Nat Hazards</addtitle><description>This work reviewed, assessed, enhanced and field-tested one of the most widely used index-based methods for assessing the vulnerability of buildings to tsunamis: the Papathoma Tsunami Vulnerability Assessment (
PTVA
) model. The review and assessment were undertaken through a participatory survey process engaging authors of scientific literature during 2005–2015 in the field of building vulnerability to tsunamis. Expert respondents updated the weights of the
PTVA
building vulnerability attributes based on their expertise and insights from the 2011 Tohoku Tsunami. The respondents were also free to suggest additional
PTVA
building attributes and to provide open comments on the model. We then analysed the outcomes of the questionnaire and we used them to generate a new improved version of the model, the
PTVA
-4, which we field-tested in the area of Botany Bay (Sydney), New South Wales. Using a cohort of over 2000 buildings and a tsunami scenario numerically simulated using state-of-the-art hydrodynamic modelling techniques, we applied the
PTVA
-4 model and compared the outcomes against its predecessor (i.e. the
PTVA
-3). Results showed the
PTVA
-4 model is significantly more accurate and more sensitive to variations in the tsunami demand parameter, the attributes of the exposed buildings and their surroundings. The
PTVA
-4 model is the first tool of its kind to integrate the judgment of specialised scientists worldwide. It constitutes a viable option to assess the vulnerability of buildings in areas where no tsunami vulnerability curves have been developed yet, or to consider the contribution to vulnerability given by a significantly wider range of building engineering and physical attributes. An ArcGIS toolbox that automatically calculates the relative vulnerability of buildings using the new
PTVA-4
model is attached to this paper.</description><subject>Assessments</subject><subject>Botany</subject><subject>Buildings</subject><subject>Catastrophes</subject><subject>Civil Engineering</subject><subject>Computer simulation</subject><subject>Demand</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Management</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Judgments</subject><subject>Mathematical models</subject><subject>Natural Hazards</subject><subject>Original Paper</subject><subject>Structural engineering</subject><subject>Tsunamis</subject><issn>0921-030X</issn><issn>1573-0840</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkc9qFTEUh4O04G3rA7gLuOkmmj-TmcRdKVaFglKquBsymTNtLpnMdZJc2l0fRBe-Wp_E3E6F0pVnc-DwcX7w-xB6zehbRmnzLjJGa00oqwkXqiH6BVox2QhCVUX30IpqzggV9MdLdBDjmlLGaq5X6M8FbF10U8Am9NiNm3nawggh4WnA6Rrw18vvJ0TgcerB42GasYkRYnThCqeYgxkd7rLz_e6wzT7AbDrnXbrF-QG6v_vlQoI5mFRSjMdws4E54XXur3Y593e_3-NCzFOf7cPXf6HVEnqE9gfjI7x63Ifo29mHy9NP5PzLx8-nJ-dkwzlPRAkph0ZIEHVfaSuYtlUHVMqu6Rk1utTDe9sMVtfKAgwMOm5lxwZVRthKHKLj5W-p4GeGmNrRRQvemwBTji0rCTWTqtL_gTKmVM1VXdA3z9D1lEsZfqE0lUVfofhCxc1cOoD5CUXbneB2EdwWwe1OcKvFX2gYnMc</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Dall’Osso, F.</creator><creator>Dominey-Howes, D.</creator><creator>Tarbotton, C.</creator><creator>Summerhayes, S.</creator><creator>Withycombe, G.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20160901</creationdate><title>Revision and improvement of the PTVA-3 model for assessing tsunami building vulnerability using “international expert judgment”: introducing the PTVA-4 model</title><author>Dall’Osso, F. ; Dominey-Howes, D. ; Tarbotton, C. ; Summerhayes, S. ; Withycombe, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p222t-8355f735e36d49c319c4be055b7d10a91062dc7fc968ceef1eb2c5b1f88883c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Assessments</topic><topic>Botany</topic><topic>Buildings</topic><topic>Catastrophes</topic><topic>Civil Engineering</topic><topic>Computer simulation</topic><topic>Demand</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental Management</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Judgments</topic><topic>Mathematical models</topic><topic>Natural Hazards</topic><topic>Original Paper</topic><topic>Structural engineering</topic><topic>Tsunamis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dall’Osso, F.</creatorcontrib><creatorcontrib>Dominey-Howes, D.</creatorcontrib><creatorcontrib>Tarbotton, C.</creatorcontrib><creatorcontrib>Summerhayes, S.</creatorcontrib><creatorcontrib>Withycombe, G.</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Natural hazards (Dordrecht)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dall’Osso, F.</au><au>Dominey-Howes, D.</au><au>Tarbotton, C.</au><au>Summerhayes, S.</au><au>Withycombe, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Revision and improvement of the PTVA-3 model for assessing tsunami building vulnerability using “international expert judgment”: introducing the PTVA-4 model</atitle><jtitle>Natural hazards (Dordrecht)</jtitle><stitle>Nat Hazards</stitle><date>2016-09-01</date><risdate>2016</risdate><volume>83</volume><issue>2</issue><spage>1229</spage><epage>1256</epage><pages>1229-1256</pages><issn>0921-030X</issn><eissn>1573-0840</eissn><abstract>This work reviewed, assessed, enhanced and field-tested one of the most widely used index-based methods for assessing the vulnerability of buildings to tsunamis: the Papathoma Tsunami Vulnerability Assessment (
PTVA
) model. The review and assessment were undertaken through a participatory survey process engaging authors of scientific literature during 2005–2015 in the field of building vulnerability to tsunamis. Expert respondents updated the weights of the
PTVA
building vulnerability attributes based on their expertise and insights from the 2011 Tohoku Tsunami. The respondents were also free to suggest additional
PTVA
building attributes and to provide open comments on the model. We then analysed the outcomes of the questionnaire and we used them to generate a new improved version of the model, the
PTVA
-4, which we field-tested in the area of Botany Bay (Sydney), New South Wales. Using a cohort of over 2000 buildings and a tsunami scenario numerically simulated using state-of-the-art hydrodynamic modelling techniques, we applied the
PTVA
-4 model and compared the outcomes against its predecessor (i.e. the
PTVA
-3). Results showed the
PTVA
-4 model is significantly more accurate and more sensitive to variations in the tsunami demand parameter, the attributes of the exposed buildings and their surroundings. The
PTVA
-4 model is the first tool of its kind to integrate the judgment of specialised scientists worldwide. It constitutes a viable option to assess the vulnerability of buildings in areas where no tsunami vulnerability curves have been developed yet, or to consider the contribution to vulnerability given by a significantly wider range of building engineering and physical attributes. An ArcGIS toolbox that automatically calculates the relative vulnerability of buildings using the new
PTVA-4
model is attached to this paper.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11069-016-2387-9</doi><tpages>28</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0921-030X |
ispartof | Natural hazards (Dordrecht), 2016-09, Vol.83 (2), p.1229-1256 |
issn | 0921-030X 1573-0840 |
language | eng |
recordid | cdi_proquest_miscellaneous_1835615849 |
source | SpringerLink Journals - AutoHoldings |
subjects | Assessments Botany Buildings Catastrophes Civil Engineering Computer simulation Demand Earth and Environmental Science Earth Sciences Environmental Management Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Judgments Mathematical models Natural Hazards Original Paper Structural engineering Tsunamis |
title | Revision and improvement of the PTVA-3 model for assessing tsunami building vulnerability using “international expert judgment”: introducing the PTVA-4 model |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T09%3A40%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_sprin&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Revision%20and%20improvement%20of%20the%20PTVA-3%20model%20for%20assessing%20tsunami%20building%20vulnerability%20using%20%E2%80%9Cinternational%20expert%20judgment%E2%80%9D:%20introducing%20the%20PTVA-4%20model&rft.jtitle=Natural%20hazards%20(Dordrecht)&rft.au=Dall%E2%80%99Osso,%20F.&rft.date=2016-09-01&rft.volume=83&rft.issue=2&rft.spage=1229&rft.epage=1256&rft.pages=1229-1256&rft.issn=0921-030X&rft.eissn=1573-0840&rft_id=info:doi/10.1007/s11069-016-2387-9&rft_dat=%3Cproquest_sprin%3E1835615849%3C/proquest_sprin%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1811905100&rft_id=info:pmid/&rfr_iscdi=true |