1970 - 2010年美国社会脆弱性时空动态分析

IF 0.4 Q4 GEOGRAPHY
Gainbi Park, Zengwang Xu
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引用次数: 3

摘要

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
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
22
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