Big data and disaster management: a systematic review and agenda for future research

209Citations
Citations of this article
532Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The era of big data and analytics is opening up new possibilities for disaster management (DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the humanitarian operations and crisis management dramatically. Yet, the relevant literature is diverse and fragmented, which calls for its review in order to ascertain its development. A number of publications have dealt with the subject of big data and its applications for minimizing disasters. Based on a systematic literature review, this study examines big data in DM to present main contributions, gaps, challenges and future research agenda. The study presents the findings in terms of yearly distribution, main journals, and most cited papers. The findings also show a classification of publications, an analysis of the trends and the impact of published research in the DM context. Overall the study contributes to a better understanding of the importance of big data in disaster management.

Cite

CITATION STYLE

APA

Akter, S., & Wamba, S. F. (2019, December 1). Big data and disaster management: a systematic review and agenda for future research. Annals of Operations Research. Springer. https://doi.org/10.1007/s10479-017-2584-2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free