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http://dx.doi.org/10.15683/kosdi.2022.12.31.908

A Comparative Analysis of Complex Disaster Research Trends Using Network Analysis  

Woosik Kim (Department of Urban Planning and Engineering, Yonsei University)
Yeonwoo Choi (Department of Urban Planning and Engineering, Yonsei University)
Youjeong Hong (Department of Urban Planning and Engineering, Yonsei University)
Dong Keun Yoon (Department of Urban Planning and Engineering, Yonsei University)
Publication Information
Journal of the Society of Disaster Information / v.18, no.4, 2022 , pp. 908-921 More about this Journal
Abstract
Purpose: As the connection between physical and non-physical structures in cities is expanding and becoming more complex, the risk of complex disaster which causes damage in a complex way is increasing. Preparing for these complex disasters, it is important to preemptively identify and manage disasters that can develop into complex disasters. Therefore, this study analyzes the disaster types studied as complex disasters by analyzing the trends of domestic and international studies related to complex disasters, and presents the direction of complex disaster management in the future. Method: We first established co-occurrence networks between disaster types based on 993 articles related to complex disasters published in disaster-related journals for the last 20 years (2002-2021). Then, through network analysis, domestic and international complex disaster research trends were compared and analyzed. Result: Research on complex disasters related to storm and flood damage, infrastructure failure and fire was high in domestic studies, and it was analyzed that research on complex disasters related to earthquakes and landslides has recently increased. However, in international studies, the proportion of studies on infrastructure failure along with storm and flood damage and earthquake was high, and various types of disasters such as tsunami and drought appeared. Conclusion: The results of this study are expected to increase the understanding of the trends in complex disaster research and provide suggestions of domestic complex disaster research in the future.
Keywords
Complex Disaster; Trend Analysis; Text Mining; Network Analysis; Co-occurrence Networks;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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