Towards an understanding of landslide risk assessment and its economic losses: a scientometric analysis

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dc.contributor.affiliationMarín-Rodríguez, N.J., Programa de Ingeniería Financiera, Facultad de Ingenierías, Grupo de Investigación en Ingeniería Financiera GINIF, Universidad de Medellín, Medellín, 050026, Colombia
dc.contributor.affiliationVega, J., Programa de Ingeniería Civil, Facultad de Ingenierías, Universidad de Medellín, Medellín, 050026, Colombia, Department of Geodesy, GFZ German Research Centre for Geosciences, Potsdam, Germany
dc.contributor.affiliationZanabria, O.B., Facultad de Ingenierías, Universidad de Medellín, Medellín, 050026, Colombia
dc.contributor.affiliationGonzález-Ruiz, J.D., Departamento de Economía, Facultad de Ciencias Humanas y Económicas, Grupo de Investigación en Finanzas y Sostenibilidad, Universidad Nacional de Colombia, Sede Medellín, Medellín, 050034, Colombia
dc.contributor.affiliationBotero, S., Departamento de Ingeniería de la Organización, Facultad de Minas, Universidad Nacional de Colombia—Sede Medellín, Antioquia, Medellín, 050034, Colombia
dc.contributor.authorMarín-Rodríguez N.J
dc.contributor.authorVega J
dc.contributor.authorZanabria O.B
dc.contributor.authorGonzález-Ruiz J.D
dc.contributor.authorBotero S.
dc.date.accessioned2024-07-31T21:07:07Z
dc.date.available2024-07-31T21:07:07Z
dc.date.issued2024
dc.descriptionThis scientometric analysis significantly advances the understanding of landslide risk assessment and economic losses, focusing on scientometric insights. This study aims at analyzing the global trends and structures of landslide risk and economic loss research from 2002 to 2023 using scientometric techniques such as co-authorship, co-word, co-citation, cluster analysis, and trend topics, among others. Thus, analysis of 92 studies gathered from Scopus and Web of Science databases reveals a continuous growth in environmental, social, and quantitative research topics. Predominant contributions hail mainly from China and Italy. The research identifies critical themes, including risk analysis, vulnerability, fragility, and economic losses. The current identified research combines advanced statistical methods, including logistic regression, with climate change scenarios and susceptibility assessments to reveal intricate connections between climatic shifts, hydrogeological hazards, and their economic and environmental impacts. This study provides researchers and practitioners with a comprehensive understanding of the status quo and research trends of ontology research landslide risk and its economic losses. It also promotes further studies in this domain. © The Author(s) 2024.
dc.identifier.doi10.1007/s10346-024-02272-2
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn1612510X
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8477
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbHspa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.programIngeniería Financieraspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85192823585&doi=10.1007%2fs10346-024-02272-2&partnerID=40&md5=74bc5dc5f9dfdddc11ec1fb929b84ec2
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dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceLandslides
dc.sourceLandslides
dc.sourceScopus
dc.subjectAssessmenteng
dc.subjectEconomic losseseng
dc.subjectLandslide riskeng
dc.subjectQuantitative analysiseng
dc.subjectScientometric analysiseng
dc.subjectClimate changeeng
dc.subjectClimate modelseng
dc.subjectCluster analysiseng
dc.subjectEconomic analysiseng
dc.subjectEnvironmental impacteng
dc.subjectLandslideseng
dc.subjectLosseseng
dc.subjectRisk analysiseng
dc.subjectAssessmenteng
dc.subjectCo-authorshipseng
dc.subjectEconomic losseng
dc.subjectGlobal structureeng
dc.subjectGlobal trendseng
dc.subjectLandslide riskeng
dc.subjectRisk economicseng
dc.subjectRisks assessmentseng
dc.subjectScientometric analysiseng
dc.subjectScientometricseng
dc.subjectRisk assessmenteng
dc.titleTowards an understanding of landslide risk assessment and its economic losses: a scientometric analysiseng
dc.typereview
dc.type.localRevisiónspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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