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A flood risk assessment model for companies and criteria for governmental decision-making to minimize hazards

DC Field Value Language
dc.contributor.authorRyu, Jieun-
dc.contributor.authorYoon, Eun Joo-
dc.contributor.authorPark, Chan-
dc.contributor.authorLee, Dong Kun-
dc.contributor.authorJeon, Seong Woo-
dc.creator이동근-
dc.date.accessioned2019-04-24T08:36:19Z-
dc.date.available2020-04-05T08:36:19Z-
dc.date.created2018-03-08-
dc.date.issued2017-11-
dc.identifier.citationSustainability, Vol.9 No.11, p. 2005-
dc.identifier.issn2071-1050-
dc.identifier.urihttps://hdl.handle.net/10371/148369-
dc.description.abstractFlood risks in the industrial sector and economic damages are increasing because of climate change. In addition to changes in precipitation patterns due to climate change; factors that increase flood damage include infrastructure deterioration and lack of storage facilities. Therefore; it is necessary for companies and the government to actively establish flood management policies. However; no evaluation method is currently available to determine which items should be invested in first by small and medium-sized enterprises that have limited finances. Because the government should make comprehensive and fair decisions; the purpose of this study is to propose priority investment risk items and an assessment method to decide which companies should be invested in first in flood risk management due to climate change. The multispatial scale of the method takes both the location and characteristics of the company into account. Future climate change scenarios were used to evaluate the changing patterns of flood risks. We developed the relative Flood Risk Assessment for Company (FRAC model) methodology to support the government's policymaking. This method was applied to four companies belonging to four different industries and three risk items were derived that are likely to harm the company owing to flooding.-
dc.language영어-
dc.language.isoenen
dc.publisherMDPI Open Access Publishing-
dc.titleA flood risk assessment model for companies and criteria for governmental decision-making to minimize hazards-
dc.typeArticle-
dc.identifier.doi10.3390/su9112005-
dc.citation.journaltitleSustainability-
dc.identifier.wosid000416793400085-
dc.identifier.scopusid2-s2.0-85033706491-
dc.description.srndOAIID:RECH_ACHV_DSTSH_NO:T201725447-
dc.description.srndRECH_ACHV_FG:RR00200001-
dc.description.srndADJUST_YN:-
dc.description.srndEMP_ID:A075721-
dc.description.srndCITE_RATE:2.075-
dc.description.srndDEPT_NM:조경·지역시스템공학부-
dc.description.srndEMAIL:dklee7@snu.ac.kr-
dc.description.srndSCOPUS_YN:Y-
dc.citation.number11-
dc.citation.startpage2005-
dc.citation.volume9-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorLee, Dong Kun-
dc.identifier.srndT201725447-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusBUSINESS CONTINUITY MANAGEMENT-
dc.subject.keywordPlusINDUSTRIAL PARKS-
dc.subject.keywordPlusFRAMEWORK-
dc.subject.keywordPlusVULNERABILITY-
dc.subject.keywordAuthorrisk-
dc.subject.keywordAuthorrisk assessment-
dc.subject.keywordAuthorfloods-
dc.subject.keywordAuthorindustrial parks-
dc.subject.keywordAuthorclimate change-
dc.subject.keywordAuthorSMEs (small and medium-sized enterprises)-
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