Scientometric Analysis of Disaster Risk Perception: 2000–2020
Abstract
:1. Introduction
2. Methods
2.1. Research Methods
2.2. Data Source
3. Results
3.1. Time Distribution of Output
3.2. Characteristics of National or Regional Cooperation
3.3. Characteristics of Author Cooperation
3.4. Characteristics of Research Institution Cooperation
3.5. Characteristics of Discipline Distribution
3.6. Keyword Analysis
3.6.1. Keywords Graph Analysis
3.6.2. Keywords Cluster Analysis
3.6.3. Emergent Keyword Analysis
4. Discussion
4.1. Research Hotspots of Disaster Risk Perception
4.2. Research Trends of Disaster Risk Perception
4.3. Knowledge Gaps
4.4. Limitation of Research
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Sjoberg, L. Factors in risk perception. Risk Anal. 2000, 20, 1–11. [Google Scholar] [CrossRef] [PubMed]
- Slovic, P. Perception of risk. Science 1987, 236, 280–285. [Google Scholar] [CrossRef]
- Sitkin, S.B.; Weingart, L.R. Determinants of Risky Decision-Making Behavior: A Test of the Mediating Role of Risk Perceptions and Propensity. Acad. Manag. J. 1995, 38, 1573–1592. [Google Scholar] [CrossRef]
- Sitkin, S.B.; Pablo, A.L. Reconceptualizing the Determinants of Risk Behavior. Acad. Manag. Rev. 1992, 17, 9–38. [Google Scholar] [CrossRef]
- Fritz, C.E. Disaster. In Contemporary Social Problems; Merton, R.K., Nisbet, R.A., Eds.; Harcourt: New York, NY, USA, 1961. [Google Scholar]
- Quarantelli, E.L. What is a Disaster? Perspectives on the Question, 1st ed.; Routledge: London, UK, 1998. [Google Scholar]
- Perry, R.W.; Quarantelli, E.L. What is a Disaster? New Answers to Old Questions, 1st ed.; Xlibris: Philadelphia, PA, USA, 2005. [Google Scholar]
- Hesam, S.; Ezat, S.; Ibrahim, S. Intervention strategies for improvement of disasters risk perception: Family-centered approach. J. Educ. Health Promot. 2019, 8, 63. [Google Scholar] [CrossRef]
- Xue, K.J.; Guo, S.L.; Liu, Y.; Liu, S.Q.; Xu, D.D. Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China. Int. J. Environ. Res. Public Health 2021, 18, 2106. [Google Scholar] [CrossRef] [PubMed]
- Trenberth, K.E. Changes in precipitation with climate change. Clim. Res. 2011, 47, 123–138. [Google Scholar] [CrossRef] [Green Version]
- Tarshall, T.M. Risk perception and safety culture: Tools for improving the implementation of disaster risk reduction strategies. Int. J. Disaster Risk Reduct. 2020, 47, 1–7. [Google Scholar] [CrossRef]
- Gteinhauser, G.; Brandl, A.; Johnson, T.E. Comparison of the Chernobyl and Fukushima nuclear accidents: A review of the environmental impacts. Sci. Total Environ. 2014, 470, 800–817. [Google Scholar] [CrossRef] [PubMed]
- Huang, C.L.; Wang, Y.M.; Li, X.W. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020, 395, 497–506. [Google Scholar] [CrossRef] [Green Version]
- Wachinger, G.; Renn, O.; Begg, C.; Kuhlicke, C. The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards. Risk Anal. 2013, 33, 1049–1065. [Google Scholar] [CrossRef] [PubMed]
- Ho, M.C.; Shaw, D.; Lin, S.; Chiu, Y.C. How Do Disaster Characteristics Influence Risk Perception? Risk Anal. 2008, 28, 635–643. [Google Scholar] [CrossRef] [PubMed]
- Garfield, E. From the science of science to Scientometrics visualizing the history of science with HistCite software. J. Inf. 2009, 3, 173–179. [Google Scholar] [CrossRef] [Green Version]
- De Masi, F.; Larosa, F.; Porrini, D.; Mysiak, J. Cultural heritage and disasters risk: A machine-human coupled analysis. Int. J. Disaster Risk Reduct. 2021, 59, 102251. [Google Scholar] [CrossRef]
- Olawumi, T.O.; Chan, D.W.M. A scientometric review of global research on sustainability and sustainable development. J. Clean. Prod. 2018, 183, 231–250. [Google Scholar] [CrossRef]
- Gao, J.; Wu, X.; Luo, X.; Guan, S. Scientometric Analysis of Safety Sign Research: 1990–2019. Int. J. Environ. Res. Public Health 2021, 18, 273. [Google Scholar] [CrossRef] [PubMed]
- Chen, C.; Chen, Y. Searching for clinical evidence in CiteSpace. AMIA Annu. Symp. Proc. 2005, 2005, 121–125. [Google Scholar]
- Allendoerfer, K.; Aluker, S.; Panjwani, G.; Proctor, J.; Sturtz, D.; Vukovic, M.; Chen, C. Adapting the cognitive walkthrough method to assess the usability of a knowledge domain visualization. In Proceedings of the IEEE Symposium on Information Visualization (InfoVis 05), Minneapolis, MN, USA, 23–25 October 2005; pp. 195–202. [Google Scholar] [CrossRef]
- Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F. Science mapping software tools: Review, analysis, and cooperative study among tools. J. Am. Soc. Inf. Sci. Technol. 2014, 62, 1382–1402. [Google Scholar] [CrossRef]
- Hosseini, M.R.; Martek, I.; Zavadskas, E.K.; Aibinu, A.A.; Arashpour, M.; Chileshe, N. Critical evaluation of off-site construction research: A Scientometric analysis. Automat. Constr. 2018, 87, 235–247. [Google Scholar] [CrossRef]
- Li, J.; Chen, C. CiteSpace: Text Mining and Visualization in Scientific Literature, 2nd ed.; Capital University of Economics and Business Press: Beijing, China, 2017; pp. 1–301. [Google Scholar]
- Synnestvedt, M.B.; Chen, C.; Holmes, J.H. CiteSpace II: Visualization and knowledge discovery in bibliographic databases. AMIA Annu. Symp. Proc. 2005, 2005, 724–728. [Google Scholar]
- Fu, F.; Yin, J.; He, C.; Huang, J. Visualizing the Knowledge Domain of Flood Risk Perception Research: A Scietometric Review. J. Catastrophol. 2016, 31, 145–149. [Google Scholar]
- Martin-Martin, A.; Orduna-Malea, E.; Thelwall, M.; Delgado Lopez-Cozar, E. Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. J. Informetr. 2018, 12, 1160–1177. [Google Scholar] [CrossRef] [Green Version]
- Falagas, M.; Pitsouni, E.; Malietzis, G.; Pappas, G. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. FASEB J. 2008, 22, 338–342. [Google Scholar] [CrossRef] [PubMed]
- Hou, L.; Tan, Y.; Luo, W.; Xu, S.; Moon, S. Towards a more extensive application of off-site construction: A technological review. Int. J. Constr. Manag. 2020, 4, 1–12. [Google Scholar] [CrossRef]
- Hopf, S.C.; McLeod, S. Services for people with communication disability in Fiji: Barriers and drivers of change. Rural Remote Health 2015, 15, 1–12. [Google Scholar] [CrossRef]
- Zhang, M.; Zhang, R. The Hotspots and Trends of Adaptive Learning: A Visualized Analysis Based on CiteSpace. Int. J. Inf. Edu. Technol. 2020, 10, 394–398. [Google Scholar] [CrossRef]
- Gandia, R.M.; Antonialli, F.; Cavazza, B.H.; Neto, A.M.; de Lima, D.A.; Sugano, J.Y.; Nicolai, I.; Zambalde, A.L. Autonomous vehicles: Scientometric and bibliometric review. Transport. Rev. 2019, 39, 9–28. [Google Scholar] [CrossRef]
- Costa, D.F.; Carvalho, F.D.; Moreira, B.C.D.; do Prado, J.W. Bibliometric analysis on the association between behavioral finance and decision making with cognitive biases such as overconfidence, anchoring effect and confirmation bias. Scientometrics 2017, 111, 1775–1799. [Google Scholar] [CrossRef]
- Railon-Moreno, R.; Jurado-Alameda, E.; Ruiz-Banos, R.; Courtial, J.P. Analysis of the field of physical chemistry of surfactants with the Unified Scienctometric Model. Fit of relational and activity indicators. Scientometrics 2005, 63, 259–276. [Google Scholar] [CrossRef]
- Callon, M.; Courtial, J.P.; Laville, F. Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics 1991, 22, 155–205. [Google Scholar] [CrossRef]
- Yang, H.; Shao, X.X.; Wu, M. A Review on Ecosystem Health Research: A Visualization Based on CiteSpace. Sustainability 2019, 11, 4908. [Google Scholar] [CrossRef] [Green Version]
- Grothmann, T.; Reusswig, F. People at risk of flooding: Why some residents take precautionary action while others do not. Nat. Hazards 2006, 38, 101–120. [Google Scholar] [CrossRef]
- Botzen, W.J.W.; Aerts, J.; van den Bergh, J. Dependence of flood risk perceptions on socioeconomic and objective risk factors. Water Resour. Res. 2009, 45, 455–465. [Google Scholar] [CrossRef] [Green Version]
- Kunii, Y.; Suzuki, Y.; Shiga, T.; Yabe, H.; Yasumura, S.; Maeda, M.; Niwa, S.; Otsuru, A.; Mashiko, H.; Abe, M.; et al. Severe Psychological Distress of Evacuees in Evacuation Zone Caused by the Fukushima Daiichi Nuclear Power Plant Accident: The Fukushima Health Management Survey. PLoS ONE 2016, 11, e0158821. [Google Scholar] [CrossRef]
- Yoshida, M.; Iwamoto, S.; Okahisa, R.; Kishida, S.; Sakama, M.; Honda, E. Knowledge and risk perception of radiation for Japanese nursing students after the Fukushima Nuclear Power Plant disaster. Nurs. Educ. Today 2020, 94, 104552. [Google Scholar] [CrossRef] [PubMed]
- Cvetkovic, V.M.; Nikolic, N.; Nenadic, U.R.; Ocal, A.; Noji, E.K.; Zecevic, M. Preparedness and Preventive Behaviors for a Pandemic Disaster Caused by COVID-19 in Serbia. Int. J. Environ. Res. Public Health 2020, 17, 4124. [Google Scholar] [CrossRef] [PubMed]
- You, M.; Lee, M. Effects of COVID-19 Emergency Alert Text Messages on Practicing Preventive Behaviors: Cross-sectional Web-Based Survey in South Korea. J. Med. Internet. Res. 2021, 23, e24165. [Google Scholar] [CrossRef]
- Martins, V.N.; Louis-Charles, H.M.; Nigg, J.; Kendra, J.; Sisco, S. Household Disaster Preparedness in New York City before Superstorm Sandy: Findings and Recommendations. J. Homel. Secur. Emerg. Manag. 2018, 15, 1–19. [Google Scholar] [CrossRef]
- Halpern-Felsher, B.L.; Millstein, S.G.; Ellen, J.M.; Adler, N.E.; Tschann, J.M.; Biehl, M. The role of behavioral experience in judging risks. Health Psychol. 2001, 20, 120–126. [Google Scholar] [CrossRef]
- Bauer, R.A. Consumer Behavior as Risk Taking. In Risk Taking and Information Handling in Consumer Behavior; Cox, D., Ed.; Harvard University Press: Cambridge, CA, USA, 1961; pp. 389–398. [Google Scholar]
- Starr, C. Social benefit versus technological risk. Science 1969, 165, 1232–1238. [Google Scholar] [CrossRef]
- Weinstein, G. Risk and Culture: An Essay on the Selection of Technological and Environmental Dangers. Am. Polit Sci. Rev. 1983, 77, 187. [Google Scholar] [CrossRef]
- McDermott, B.M.; Lee, E.M.; Judd, M.; Gibbon, P. Posttraumatic Stress Disorder and General Psychopathology in Children and Adolescents Following a Wildfire Disaster. Can. J. Psychiatry 2005, 50, 137–143. [Google Scholar] [CrossRef] [Green Version]
- Sherry, J.; Curtis, A.; Mendham, E.; Toman, E. Cultural landscapes at risk: Exploring the meaning of place in a sacred valley of Nepal. Glob. Environ. Chang. 2018, 52, 190–200. [Google Scholar] [CrossRef]
- Wallace, J.W.; Poole, C.; Horney, J.A. The association between actual and perceived flood risk and evacuation from Hurricane Irene, Beaufort County, North Carolina. J. Flood Risk Manag. 2016, 9, 125–135. [Google Scholar] [CrossRef]
- Chatfield, A.T.; Reddick, C.G. Understanding Risk Communication Gaps through E-Government Website and Twitter Hashtag Content Analyses: The Case of Indonesia’s Mt. Sinabung Eruption. J. Homel. Secur. Emerg. Manag. 2015, 12, 351–385. [Google Scholar] [CrossRef] [Green Version]
- Gibson, S.; Lemyre, L.; Lee, J.E.C. Predicting Emergency Response Intentions among the Canadian Public in the Context of Terrorism Threats: Examining Sociodemographics and the Mediating Role of Risk Perception. Hum. Ecol. Risk Assess 2015, 21, 205–226. [Google Scholar] [CrossRef]
- Bubeck, P.; Botzen, W.J.W.; Aerts, J.C. A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior. Risk Anal. 2012, 32, 1481–1495. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Number of Papers | Betweenness Centrality | Country or Region | Starting Year |
---|---|---|---|
521 | 0.38 | USA | 2000 |
176 | 0.07 | Peoples R China | 2011 |
150 | 0.34 | England | 2002 |
138 | 0.17 | Australia | 2001 |
126 | 0.14 | Japan | 2004 |
79 | 0.14 | Netherland | 2000 |
75 | 0.30 | Germany | 2005 |
56 | 0.13 | Italy | 2003 |
52 | 0.07 | Canada | 2003 |
38 | 0.04 | New Zealand | 2008 |
38 | 0.01 | Taiwan | 2008 |
34 | 0.01 | France | 2003 |
32 | 0.04 | Spain | 2006 |
30 | 0.00 | Pakistan | 2012 |
28 | 0.01 | Sweden | 2006 |
Name | Number of Published Papers | Starting Year |
---|---|---|
Dingde Xu | 13 | 2017 |
Michio Murakami | 13 | 2017 |
Seiji Yasumura | 11 | 2016 |
Ziqiang Han | 9 | 2017 |
Michael K. Lindell | 9 | 2008 |
Published Institution | Number of Published Paper | Betweenness Centrality | Country | Starting Year |
---|---|---|---|---|
Texas A&M University | 27 | 0.09 | USA | 2005 |
Fukushima Med University | 26 | 0.02 | Japan | 2012 |
Kyoto University | 23 | 0.08 | Japan | 2004 |
Colorado State University | 22 | 0.10 | USA | 2004 |
Chinese Academy of Sciences | 17 | 0.02 | China | 2011 |
Tsinghua University | 15 | 0.06 | China | 2017 |
Massey University | 14 | 0.09 | New Zealand | 2014 |
Beijing Normal University | 13 | 0.02 | China | 2011 |
University of Florida | 13 | 0.01 | USA | 2017 |
The Chinese University of Hong Kong | 12 | 0.07 | China | 2014 |
Discipline Area | Frequency | Betweenness Centrality | Discipline Category |
---|---|---|---|
Environmental Science and Ecology | 491 | 0.34 | Engineering |
Water Resources | 387 | 0.03 | Engineering |
Meteorology and Atmosphere Science | 380 | 0 | Natural Science |
Geology | 370 | 0 | Natural Science |
Geoscience Multidisciplinary | 315 | 0 | Natural Science |
Environmental Studies | 271 | 0.13 | Engineering |
Public Environmental and Occupational Health | 248 | 0.42 | Management Science |
Environmental Science | 146 | 0.08 | Engineering |
Business and Economics | 119 | 0.17 | Economics |
Social Science/Other Topics | 121 | 0.17 | Management Science |
Cluster ID | Cluster Name | Silhouette | Contain the Keywords |
---|---|---|---|
#0 | Climate Change | 0.933 | Household Risk *, Adaptation *, Storm, Flooding *, etc. |
#1 | Resident | 0.983 | Environmental Concerns, Emergency Management *, Natural Disasters *, etc. |
#2 | Radiation | 0.856 | Fukushima, Causal Attribution, Government Control Level *, etc. |
#3 | Uncertainty | 1.000 | Subjectivity, Decision Making, Near Misses, etc. |
#4 | Mental Health | 0.932 | Spatial Isolation, Mobile Phone Data *, Knowledge Gap *, etc. |
#5 | Risk Management | 0.935 | Doctors And Nurses, Humanitarian Crises, Media Exposure *, etc. |
#6 | Evacuation | 0.823 | Conversation *, Risk Assessment *, Earthquake Vulnerability *, etc. |
#7 | Earthquake | 0.877 | Disaster Prevention Education *, Public Risk Perception *, Vulnerability *, etc. |
#8 | Disaster Response | 0.823 | Humanitarian Assistance *, Critical Infrastructure, Institutions, etc. |
#9 | Disaster Risk Reduction | 0.956 | Bioterrorism, Cold Weather Warnings, Income Inequality, etc. |
#10 | Pandemic | 0.811 | COVID-19 *, International Public Health Emergencies, Government Assistance, etc. |
#11 | Adolescents | 0.896 | SDQ *, Health Self-Assessment, Performance Experience *, etc. |
#12 | Communication | 0.902 | Regression Analysis, Tokai floods *, Hispanics *, etc. |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. 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/).
Share and Cite
Yu, T.; Yang, H.; Luo, X.; Jiang, Y.; Wu, X.; Gao, J. Scientometric Analysis of Disaster Risk Perception: 2000–2020. Int. J. Environ. Res. Public Health 2021, 18, 13003. https://doi.org/10.3390/ijerph182413003
Yu T, Yang H, Luo X, Jiang Y, Wu X, Gao J. Scientometric Analysis of Disaster Risk Perception: 2000–2020. International Journal of Environmental Research and Public Health. 2021; 18(24):13003. https://doi.org/10.3390/ijerph182413003
Chicago/Turabian StyleYu, Tianlong, Hao Yang, Xiaowei Luo, Yifeng Jiang, Xiang Wu, and Jingqi Gao. 2021. "Scientometric Analysis of Disaster Risk Perception: 2000–2020" International Journal of Environmental Research and Public Health 18, no. 24: 13003. https://doi.org/10.3390/ijerph182413003