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

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,...

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Published in	Annals of operations research Vol. 283; no. 1-2; pp. 939 - 959
Main Authors	Akter, Shahriar, Wamba, Samuel Fosso
Format	Journal Article
Language	English
Published	New York Springer US 01.12.2019 Springer Springer Nature B.V
Subjects	Applications of OR in Disaster Relief Operations Big Data Business and Management Combinatorics Data management Disaster management Disasters Documents Emergency management Literature reviews Methods Operations research Operations Research/Decision Theory Part II Technology application Theory of Computation Australia Big data analytics Emergency services Humanitarian services Disaster management Systematic literature review
Online Access	Get full text
ISSN	0254-5330 1572-9338
DOI	10.1007/s10479-017-2584-2

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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.
AbstractList	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.
Audience	Academic
Author	Wamba, Samuel Fosso Akter, Shahriar
Author_xml	– sequence: 1 givenname: Shahriar surname: Akter fullname: Akter, Shahriar email: sakter@uow.edu.au organization: Sydney Business School, University of Wollongong – sequence: 2 givenname: Samuel Fosso surname: Wamba fullname: Wamba, Samuel Fosso organization: Toulouse Business School
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Keywords	Big data analytics Emergency services Humanitarian services Disaster management Systematic literature review
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PublicationTitle	Annals of operations research
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Publisher	Springer US Springer Springer Nature B.V
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Snippet	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,...
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SubjectTerms	Applications of OR in Disaster Relief Operations Big Data Business and Management Combinatorics Data management Disaster management Disasters Documents Emergency management Literature reviews Methods Operations research Operations Research/Decision Theory Part II Technology application Theory of Computation
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Title	Big data and disaster management: a systematic review and agenda for future research
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