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

Author

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  • 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
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    References listed on IDEAS

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    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.
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    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.

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