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Natural hazards, disaster management and simulation: a bibliometric analysis of keyword searches

Barnes, Beth; Dunn, Sarah; Wilkinson, Sean

Authors

Beth Barnes elizabeth.barnes@durham.ac.uk
Assistant Professor

Sarah Dunn

Sean Wilkinson



Abstract

Disasters affect millions of people annually, causing large numbers of fatalities, detrimental economic impact and the displacement of communities. Policy-makers, researchers and industry professionals are regularly faced with these consequences and therefore require tools to assess the potential impacts and provide sustainable solutions, often with only very limited information. This paper focuses on the themes of “disaster management”, “natural hazards” and “simulation”, aiming to identify current research trends using bibliometric analysis. This analysis technique combines quantitative and statistical methods to identify these trends, assess quality and measure development. The study has concluded that natural hazards (73%) are more predominant in research than man-made hazards (14%). Of the man-made hazards covered, terrorism is the most prevalent (83%). The most frequent disaster types are climate related, and in this study hydrological (20%), geophysical (20%), meteorological (15%) and climatological (5%) were the most frequently researched. Asia experiences the highest number of disaster events as a continent but in this study was only included in 11% of papers, with North America being the most recurrent (59%). There were some surprising omissions, such as Africa, which did not feature in a single paper. Despite the inclusion of key words “simulation” and “agent based” in the searches, the study did not demonstrate there is a large volume of research being carried out using numerical modelling techniques. Finally, research is appearing to take a reactive rather than proactive approach to disaster management planning, but the merit of this approach is questionable.

Citation

Barnes, B., Dunn, S., & Wilkinson, S. (2019). Natural hazards, disaster management and simulation: a bibliometric analysis of keyword searches. Natural Hazards, 97(2), 813-840. https://doi.org/10.1007/s11069-019-03677-2

Journal Article Type Article
Acceptance Date Jul 17, 2019
Online Publication Date Jul 23, 2019
Publication Date 2019
Deposit Date Nov 2, 2021
Journal Natural Hazards
Print ISSN 0921-030X
Electronic ISSN 1573-0840
Publisher Springer
Volume 97
Issue 2
Pages 813-840
DOI https://doi.org/10.1007/s11069-019-03677-2
Public URL https://durham-repository.worktribe.com/output/1223675