IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1492-d736026.html
   My bibliography  Save this article

Trend Analysis of Global Disaster Education Research Based on Scientific Knowledge Graphs

Author

Listed:
  • Min Zhang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Juanle Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    China-Pakistan Joint Research Centre on Earth Sciences, Islamabad 45320, Pakistan
    Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

Abstract

Disaster reduction and prevention have become urgent issues worldwide. Disaster education is an effective way to deal with frequent global disaster risks, carry out disaster prevention and relief measures in a timely manner, and reduce disaster losses. Based on the Web of Science database, using bibliometrics and network analysis methods based on scientific knowledge graphs, we conducted a visual analysis of global disaster education research trends from the perspectives of national cooperation spatial distribution, research hotspot mining, hybrid network analysis, and institutional cooperation spatial distribution of disaster education. The following conclusions were drawn. (1) The spatial distribution of disaster education research is uneven: it is clustered in Europe, evenly distributed in Asia and Africa, and scattered in North America and Oceania. Moreover, the United States in North America, China and Japan in Asia, and Australia in Oceania have the largest number of articles. (2) The field of disaster education focuses mainly on the themes of education, disaster nursing, disaster risk and reduction, disaster awareness, and earthquakes. The general trend of research hotspots is disaster risk >> disaster preparedness >> disaster nurse >> disaster awareness >> disaster risk and reduction, realizing the great transformation from disaster rescue to disaster preparedness and then to disaster prevention awareness. (3) A hybrid network of keywords and countries revealed the research focus of various countries in the field of disaster education, and a hybrid network of keywords and categories showed that the research on disaster education primarily focuses on the disciplines of environment, nursing, geography, geology, atmosphere, ecology, and psychology. On this basis, the breadth and depth of the disaster education system should be further improved. (4) The spatial layout of disaster education research institutions showed a clustered distribution of research institutions in North America and Europe, even distribution in some regions in Asia, and sporadic distribution in Africa and Oceania. In-depth cooperation among institutions should be strengthened, the degree of attention paid to disaster education should be increased, and external cooperation should be actively carried out to improve the level of disaster education, particularly in Africa and Asia.

Suggested Citation

  • Min Zhang & Juanle Wang, 2022. "Trend Analysis of Global Disaster Education Research Based on Scientific Knowledge Graphs," Sustainability, MDPI, vol. 14(3), pages 1-13, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1492-:d:736026
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1492/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1492/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hoffmann, Roman & Muttarak, Raya, 2017. "Learn from the Past, Prepare for the Future: Impacts of Education and Experience on Disaster Preparedness in the Philippines and Thailand," World Development, Elsevier, vol. 96(C), pages 32-51.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Feng Wu & Yue Tang & Chaoran Lin & Yanwei Zhang & Wanqiang Xu, 2022. "Knowledge Trajectories Detection and Prediction of Modern Emergency Management in China Based on Topic Mining from Massive Literature Text," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    2. Misato Uehara & Makoto Fujii & Kazuki Kobayashi & Keita Shiba, 2022. "Narrative-Based Disaster Learning Programmes Simultaneously Improve People’s Disaster Awareness Scores, Willingness to Pay and Settlement Preferences," Sustainability, MDPI, vol. 14(11), pages 1-17, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Floris C. Boogaard & Guri Venvik & Rui L. Pedroso de Lima & Ana C. Cassanti & Allard H. Roest & Antal Zuurman, 2020. "ClimateCafé: An Interdisciplinary Educational Tool for Sustainable Climate Adaptation and Lessons Learned," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    2. Zhixing Ma & Shili Guo & Xin Deng & Dingde Xu, 2021. "Community resilience and resident's disaster preparedness: evidence from China's earthquake-stricken areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 567-591, August.
    3. Zhenlong Jiang & Yudi Chen & Ting-Yeh Yang & Wenying Ji & Zhijie (Sasha) Dong & Ran Ji, 2023. "Leveraging Machine Learning and Simulation to Advance Disaster Preparedness Assessments through FEMA National Household Survey Data," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    4. Shine George & P. P. Anil Kumar, 2022. "Indicator-based assessment of capacity development for disaster preparedness in the Indian context," Environment Systems and Decisions, Springer, vol. 42(3), pages 417-435, September.
    5. Xue Yang & Shili Guo & Xin Deng & Dingde Xu, 2021. "Livelihood Adaptation of Rural Households under Livelihood Stress: Evidence from Sichuan Province, China," Agriculture, MDPI, vol. 11(6), pages 1-19, May.
    6. Yingying Sun & Ziqiang Han, 2018. "Climate Change Risk Perception in Taiwan: Correlation with Individual and Societal Factors," IJERPH, MDPI, vol. 15(1), pages 1-12, January.
    7. Dingde Xu & Chen Qing & Xin Deng & Zhuolin Yong & Wenfeng Zhou & Zhixing Ma, 2020. "Disaster Risk Perception, Sense of Pace, Evacuation Willingness, and Relocation Willingness of Rural Households in Earthquake-Stricken Areas: Evidence from Sichuan Province, China," IJERPH, MDPI, vol. 17(2), pages 1-19, January.
    8. Makoto Hasegawa & Michio Murakami & Yoshitake Takebayashi & Satoshi Suzuki & Hitoshi Ohto, 2018. "Social Capital Enhanced Disaster Preparedness and Health Consultations after the 2011 Great East Japan Earthquake and Nuclear Power Station Accident," IJERPH, MDPI, vol. 15(3), pages 1-17, March.
    9. Jing-Shia Tang & Jui-Ying Feng, 2018. "Residents’ Disaster Preparedness after the Meinong Taiwan Earthquake: A Test of Protection Motivation Theory," IJERPH, MDPI, vol. 15(7), pages 1-12, July.
    10. Krishna Malakar & Trupti Mishra & Anand Patwardhan, 2018. "Drivers of response to extreme weather warnings among marine fishermen," Climatic Change, Springer, vol. 150(3), pages 417-431, October.
    11. Kerstin K. Zander & Stephen Garnett, 2020. "Risk and experience drive the importance of natural hazards for peoples’ mobility decisions," Climatic Change, Springer, vol. 162(3), pages 1639-1654, October.
    12. Javiera V. Castañeda & Nicolás C. Bronfman & Pamela C. Cisternas & Paula B. Repetto, 2020. "Understanding the culture of natural disaster preparedness: exploring the effect of experience and sociodemographic predictors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 1881-1904, September.
    13. Ali Hassan Gillani & Mohamed Izham Mohamed Ibrahim & Jamshaid Akbar & Yu Fang, 2020. "Evaluation of Disaster Medicine Preparedness among Healthcare Profession Students: A Cross-Sectional Study in Pakistan," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    14. Dingde Xu & Enlai Liu & Xuxi Wang & Hong Tang & Shaoquan Liu, 2018. "Rural Households’ Livelihood Capital, Risk Perception, and Willingness to Purchase Earthquake Disaster Insurance: Evidence from Southwestern China," IJERPH, MDPI, vol. 15(7), pages 1-19, June.
    15. Panpan Lian & Zhenyu Zhuo & Yanbin Qi & Dingde Xu & Xin Deng, 2021. "The Impacts of Training on Farmers’ Preparedness Behaviors of Earthquake Disaster—Evidence from Earthquake-Prone Settlements in Rural China," Agriculture, MDPI, vol. 11(8), pages 1-17, July.
    16. Roman Hoffmann & Sebastian Uljas Lutz, 2019. "The health knowledge mechanism: evidence on the link between education and health lifestyle in the Philippines," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 27-43, February.
    17. Oh, Chang Hoon & Shin, Jiyoung & Oetzel, Jennifer, 2021. "How does experience change firms' foreign investment decisions to non-market events?," Journal of International Management, Elsevier, vol. 27(1).
    18. Ting Liu & Nick Shryane & Mark Elliot, 2022. "Attitudes to climate change risk: classification of and transitions in the UK population between 2012 and 2020," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    19. Shasha Li & Xinyu Peng & Ruiqiu Pang & Li Li & Zixuan Song & Hongying Ye, 2021. "Information Preference and Information Supply Efficiency Evaluation before, during, and after an Earthquake: Evidence from Songyuan, China," IJERPH, MDPI, vol. 18(24), pages 1-28, December.
    20. Jungmin Lim & Mark Skidmore, 2019. "Flood Fatalities in the United States: The Roles of Socioeconomic Factors and the National Flood Insurance Program," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1032-1057, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1492-:d:736026. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.