Spatial and Temporal Dynamics of Social Vulnerability in the United States from 1970 to 2010

IF 0.4 Q4 GEOGRAPHY International Journal of Applied Geospatial Research Pub Date : 2020-01-01 DOI:10.4018/ijagr.2020010103

Gainbi Park, Zengwang Xu

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引用次数: 3

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

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1970 - 2010年美国社会脆弱性时空动态分析

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模式，andtherearecounties/areaswhichhavepersistenthighorlowsocialvulnerabilityaswell asfrequentchangeintheirsocialvulnerabilityovertime。Theresultscanbeusefulforpolicymakers, disastermanagers，planningofficials，andsocialscientistsingeneral。关键词聚类自然灾害序列分析社会脆弱性时空动态

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