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

This 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...

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Bibliographic Details
Published inLandslides Vol. 21; no. 8; pp. 1865 - 1881
Main Authors Marín-Rodríguez, Nini Johana, Vega, Johnny, Zanabria, Oscar Betancurt, González-Ruiz, Juan David, Botero, Sergio
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2024
Springer Nature B.V
Subjects
Agriculture
Citation analysis
Civil Engineering
Climate change
Climate change scenarios
Cluster analysis
Earth and Environmental Science
Earth Sciences
Economic analysis
Economic impact
Economics
Environmental impact
Environmental risk
Fragility
Geography
Geology
Hail
Hazard assessment
Hazard identification
Hydrogeology
Landslides
Natural Hazards
Quantitative research
Review Paper
Risk analysis
Risk assessment
Scientometrics
Statistical analysis
Statistical methods
Trends
Landslide risk
Scientometric analysis
Economic losses
Assessment
Quantitative analysis
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Summary:This 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.
ISSN:1612-510X
1612-5118
DOI:10.1007/s10346-024-02272-2