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基于事理图谱的政策影响分析方法及实证研究.docx

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基于事理图谱的政策影响分析方法及实证研究为题目，写不少于1200的论文 Abstract Inrecentyears,thedevelopmentandapplicationofknowledgegraphshavebeenwidelyappliedinvariousfields,includingpolicyanalysis.Thisstudyaimstoproposeapolicyimpactanalysismethodbasedonevent-cause-effectgraphsandappliesittotheproblemoftacklingurbanairpollution.Themethodinvolvesconstructingacomprehensiveknowledgegraphoftheproblemdomainandusingittomodelthecausalrelationshipsbetweenpolicyactions,environmentalfactors,andtheultimateimpactonairquality.Theapproachcanfacilitatepolicymakerstounderstandthepotentialeffectivenessandlimitationsofdifferentpolicyoptions. Introduction Urbanairpollutionhasbecomeasevereenvironmentalproblemgloballyinrecentyears,posingsignificantpublichealthrisksandeconomiccosts.Toaddressthisissue,governmentshaveimplementedvariouspolicymeasures,suchasairpollutioncontrolplans,vehicleemissionstandards,andpromotionofrenewableenergyuse.However,theeffectivenessandefficiencyofthesepoliciesareoftenunclear,anditischallengingtopredicttheirpotentialimpactonairquality. Toaddressthisissue,therehasbeenincreasinginterestinintegratingknowledgegraphsandmachinelearningtechniquestosupportpolicyanalysis.Inthispaper,weproposeamethodforanalyzingthepolicyimpactsonurbanairpollutionbasedonevent-cause-effectgraphs.Weconstructacomprehensiveknowledgegraphoftheproblemdomainandmodelthecausalrelationshipsbetweenpolicyactions,environmentalfactors,andtheultimateimpactonairquality.Moreover,throughempiricalanalysis,weevaluatetheeffectivenessoftheproposedapproachandprovideempiricalevidencetosupportthefindings. Methodology Theproposedmethodinvolvesthreekeysteps:knowledgegraphconstruction,impactmodeling,andimpactevaluation.Firstly,wecollectrelevantdataandconstructacomprehensiveknowledgegraphthatdescribesthecausalrelationshipsbetweendifferentenvironmentalfactorsandpolicymeasures.Thegraphincludesentitiessuchaspollutants,emissions,environmentalfactors(e.g.,temperature,humidity,andwind),policyactions(e.g.,regulation,subsidies,andtaxes),andtheirinterrelation