Beth Barnes elizabeth.barnes@durham.ac.uk
Assistant Professor
Natural hazards, disaster management and simulation: a bibliometric analysis of keyword searches
Barnes, Beth; Dunn, Sarah; Wilkinson, Sean
Authors
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 |
You might also like
Replicating capacity and congestion in microscale agent-based simulations
(2022)
Journal Article
Improving human behaviour in macroscale city evacuation agent-based simulation
(2021)
Journal Article
Innovation: Stepping Up the Industry
(2015)
Report
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search