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Bibliometric Analysis of Publications on the Evacuation of Hazards Using GIS as a Decision Support Tool from the Scopus Database

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Information Systems (EMCIS 2022)

Abstract

The increasing diffusion of geographic information systems (GIS) in the domain of evacuation and disaster management, depicts the contributions and efforts of the countries in risk reduction. It has been witnessed in the last decade the global challenges and impacts caused by natural hazards and climate risk. One of these challenges is to evacuate the exposure community promptly and efficiently, these impacts either are predicted or non-predicted, which shows the lack of understanding of these hazards or mitigation tools and strategies for risk reduction. This study aims to explore the publications in the evacuation domain of multi-hazards using Geographic Information System (GIS) as a decision-making tool, as this domain was found only between 1996 and 2022. The researchers focused only on the Scopus database platform using the VOSviewer to apply the bibliometric analyses to understand the evolution and development of these domains. Different bibliometric analysis such as citation, co-authorship, co-occurrence, and co-citation were performed on different units of analysis. The outcome of the bibliometric analysis will support future researchers to build their road map and develop this domain based on a solid database of the current bibliometric analysis.

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References

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Correspondence to Atifa Albalooshi .

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Albalooshi, A., Alebri, K., Papadaki, M. (2023). Bibliometric Analysis of Publications on the Evacuation of Hazards Using GIS as a Decision Support Tool from the Scopus Database. In: Papadaki, M., Rupino da Cunha, P., Themistocleous, M., Christodoulou, K. (eds) Information Systems. EMCIS 2022. Lecture Notes in Business Information Processing, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-031-30694-5_44

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  • DOI: https://doi.org/10.1007/978-3-031-30694-5_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30693-8

  • Online ISBN: 978-3-031-30694-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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