Scientometric Analysis of Disaster Risk Perception: 2000–2020

Tianlong Yu, Hao Yang, Xiaowei Luo, Yifeng Jiang, Xiang Wu and Jingqi Gao
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Tianlong Yu: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Hao Yang: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Xiaowei Luo: Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong 999077, China
Yifeng Jiang: China Electric Power Research Institute, Beijing 100192, China
Xiang Wu: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Jingqi Gao: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China

IJERPH, 2021, vol. 18, issue 24, 1-19

Abstract: 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.

Keywords: disaster risk perception; CiteSpace; web of science; visual analysis; knowledge graph (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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