{"title":"1970 - 2010年美国社会脆弱性时空动态分析","authors":"Gainbi Park, Zengwang Xu","doi":"10.4018/ijagr.2020010103","DOIUrl":null,"url":null,"abstract":"Socialvulnerabilityhasbeenanimportantconcepttocharacterizetheextenttowhichhumansociety isvulnerabletohazards.Althoughitiswellknownthatsocialvulnerabilityvariesacrossspaceand overtime,thereisonlyapaucityofstudiestoexaminethebasicpatternsofthespatialandtemporal dynamicsofthesocialvulnerabilityintheUnitedStates.Thisstudyexaminesthespatialandtemporal dynamicsofsocialvulnerabilityoftheU.S.countiesfrom1970to2010.Foreachdecade,social vulnerabilityofcountiesisquantifiedbythesocialvulnerabilityindex(SoVI)usingcounty-level social,economic,demographic,andbuiltenvironmentcharacteristics.TheSoVIismainlydesignedto quantifythecross-sectionalvariationofsocialvulnerabilityandisnotconducivetodirectcomparison overtime.Thisstudyimplementsamethodologythatintegratesquantilestandardization,sequence alignmentanalysis,andclusteranalysistoinvestigatehowsocialvulnerabilityofU.S.countieshas changedovertime.TheauthorsfindthatU.S.countiesexhibitdistinctivespatialandlongitudinal patterns,andtherearecounties/areaswhichhavepersistenthighorlowsocialvulnerabilityaswell asfrequentchangeintheirsocialvulnerabilityovertime.Theresultscanbeusefulforpolicymakers, disastermanagers,planningofficials,andsocialscientistsingeneral. KeywoRDS Clustering, Natural Hazards, Sequence Analysis, Social Vulnerability, Spatial Temporal Dynamics","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"36-54"},"PeriodicalIF":0.4000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijagr.2020010103","citationCount":"3","resultStr":"{\"title\":\"Spatial and Temporal Dynamics of Social Vulnerability in the United States from 1970 to 2010\",\"authors\":\"Gainbi Park, Zengwang Xu\",\"doi\":\"10.4018/ijagr.2020010103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Socialvulnerabilityhasbeenanimportantconcepttocharacterizetheextenttowhichhumansociety isvulnerabletohazards.Althoughitiswellknownthatsocialvulnerabilityvariesacrossspaceand overtime,thereisonlyapaucityofstudiestoexaminethebasicpatternsofthespatialandtemporal dynamicsofthesocialvulnerabilityintheUnitedStates.Thisstudyexaminesthespatialandtemporal dynamicsofsocialvulnerabilityoftheU.S.countiesfrom1970to2010.Foreachdecade,social vulnerabilityofcountiesisquantifiedbythesocialvulnerabilityindex(SoVI)usingcounty-level social,economic,demographic,andbuiltenvironmentcharacteristics.TheSoVIismainlydesignedto quantifythecross-sectionalvariationofsocialvulnerabilityandisnotconducivetodirectcomparison overtime.Thisstudyimplementsamethodologythatintegratesquantilestandardization,sequence alignmentanalysis,andclusteranalysistoinvestigatehowsocialvulnerabilityofU.S.countieshas changedovertime.TheauthorsfindthatU.S.countiesexhibitdistinctivespatialandlongitudinal patterns,andtherearecounties/areaswhichhavepersistenthighorlowsocialvulnerabilityaswell asfrequentchangeintheirsocialvulnerabilityovertime.Theresultscanbeusefulforpolicymakers, disastermanagers,planningofficials,andsocialscientistsingeneral. KeywoRDS Clustering, Natural Hazards, Sequence Analysis, Social Vulnerability, Spatial Temporal Dynamics\",\"PeriodicalId\":43062,\"journal\":{\"name\":\"International Journal of Applied Geospatial Research\",\"volume\":\"11 1\",\"pages\":\"36-54\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4018/ijagr.2020010103\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Geospatial Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijagr.2020010103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Geospatial Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijagr.2020010103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 3
Spatial and Temporal Dynamics of Social Vulnerability in the United States from 1970 to 2010
Socialvulnerabilityhasbeenanimportantconcepttocharacterizetheextenttowhichhumansociety isvulnerabletohazards.Althoughitiswellknownthatsocialvulnerabilityvariesacrossspaceand overtime,thereisonlyapaucityofstudiestoexaminethebasicpatternsofthespatialandtemporal dynamicsofthesocialvulnerabilityintheUnitedStates.Thisstudyexaminesthespatialandtemporal dynamicsofsocialvulnerabilityoftheU.S.countiesfrom1970to2010.Foreachdecade,social vulnerabilityofcountiesisquantifiedbythesocialvulnerabilityindex(SoVI)usingcounty-level social,economic,demographic,andbuiltenvironmentcharacteristics.TheSoVIismainlydesignedto quantifythecross-sectionalvariationofsocialvulnerabilityandisnotconducivetodirectcomparison overtime.Thisstudyimplementsamethodologythatintegratesquantilestandardization,sequence alignmentanalysis,andclusteranalysistoinvestigatehowsocialvulnerabilityofU.S.countieshas changedovertime.TheauthorsfindthatU.S.countiesexhibitdistinctivespatialandlongitudinal patterns,andtherearecounties/areaswhichhavepersistenthighorlowsocialvulnerabilityaswell asfrequentchangeintheirsocialvulnerabilityovertime.Theresultscanbeusefulforpolicymakers, disastermanagers,planningofficials,andsocialscientistsingeneral. KeywoRDS Clustering, Natural Hazards, Sequence Analysis, Social Vulnerability, Spatial Temporal Dynamics
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