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Scientometric Analysis of Disaster Risk Perception: 2000–2020
This paper used 1526 works from the literature on disaster risk perception from 2000 to 2020 in the Web of Science core collection database as the research subject. The CiteSpace knowledge graph analysis tool was used to visual analyze the country, author, institution, discipline distribution, keywo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701115/ https://www.ncbi.nlm.nih.gov/pubmed/34948613 http://dx.doi.org/10.3390/ijerph182413003 |
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author | Yu, Tianlong Yang, Hao Luo, Xiaowei Jiang, Yifeng Wu, Xiang Gao, Jingqi |
author_facet | Yu, Tianlong Yang, Hao Luo, Xiaowei Jiang, Yifeng Wu, Xiang Gao, Jingqi |
author_sort | Yu, Tianlong |
collection | PubMed |
description | This paper used 1526 works from the literature on disaster risk perception from 2000 to 2020 in the Web of Science core collection database as the research subject. The CiteSpace knowledge graph analysis tool was used to visual analyze the country, author, institution, discipline distribution, keywords, and keyword clustering mapping. The paper drew the following conclusions. Firstly, disaster risk perception research has experienced three stages of steady development, undulating growth, and rapid growth. Secondly, the field of disaster risk perception was mainly concentrated in the disciplines of engineering, natural science, and management science. Thirdly, meteorological disasters, earthquakes, nuclear radiation, and epidemics were the main disasters in the field of disaster risk perception. Residents and adolescents were the main subjects of research in the field of disaster risk perception. Fourthly, research on human risk behavior and risk psychology and research on disaster risk control and emergency management were two major research hotspots in the field of disaster risk perception. Finally, the research field of disaster risk perception is constantly expanding. There is a trend from theory to application and multi-perspective combination, and future research on disaster risk perception will be presented more systematically. The conclusion can provide a reference for disaster risk perception research, as well as directions for future research. |
format | Online Article Text |
id | pubmed-8701115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87011152021-12-24 Scientometric Analysis of Disaster Risk Perception: 2000–2020 Yu, Tianlong Yang, Hao Luo, Xiaowei Jiang, Yifeng Wu, Xiang Gao, Jingqi Int J Environ Res Public Health Article This paper used 1526 works from the literature on disaster risk perception from 2000 to 2020 in the Web of Science core collection database as the research subject. The CiteSpace knowledge graph analysis tool was used to visual analyze the country, author, institution, discipline distribution, keywords, and keyword clustering mapping. The paper drew the following conclusions. Firstly, disaster risk perception research has experienced three stages of steady development, undulating growth, and rapid growth. Secondly, the field of disaster risk perception was mainly concentrated in the disciplines of engineering, natural science, and management science. Thirdly, meteorological disasters, earthquakes, nuclear radiation, and epidemics were the main disasters in the field of disaster risk perception. Residents and adolescents were the main subjects of research in the field of disaster risk perception. Fourthly, research on human risk behavior and risk psychology and research on disaster risk control and emergency management were two major research hotspots in the field of disaster risk perception. Finally, the research field of disaster risk perception is constantly expanding. There is a trend from theory to application and multi-perspective combination, and future research on disaster risk perception will be presented more systematically. The conclusion can provide a reference for disaster risk perception research, as well as directions for future research. MDPI 2021-12-09 /pmc/articles/PMC8701115/ /pubmed/34948613 http://dx.doi.org/10.3390/ijerph182413003 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yu, Tianlong Yang, Hao Luo, Xiaowei Jiang, Yifeng Wu, Xiang Gao, Jingqi Scientometric Analysis of Disaster Risk Perception: 2000–2020 |
title | Scientometric Analysis of Disaster Risk Perception: 2000–2020 |
title_full | Scientometric Analysis of Disaster Risk Perception: 2000–2020 |
title_fullStr | Scientometric Analysis of Disaster Risk Perception: 2000–2020 |
title_full_unstemmed | Scientometric Analysis of Disaster Risk Perception: 2000–2020 |
title_short | Scientometric Analysis of Disaster Risk Perception: 2000–2020 |
title_sort | scientometric analysis of disaster risk perception: 2000–2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701115/ https://www.ncbi.nlm.nih.gov/pubmed/34948613 http://dx.doi.org/10.3390/ijerph182413003 |
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