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

被引:202
作者
Akter, Shahriar [1 ]
Wamba, Samuel Fosso [2 ]
机构
[1] Univ Wollongong, Sydney Business Sch, Sydney, NSW, Australia
[2] Toulouse Business Sch, Toulouse, France
关键词
Big data analytics; Disaster management; Humanitarian services; Emergency services; Systematic literature review; VOLUNTEERED GEOGRAPHIC INFORMATION; SUPPLY CHAIN MANAGEMENT; PREDICTIVE ANALYTICS; EMERGENCY MANAGEMENT; NATURAL DISASTER; OR/MS RESEARCH; SOCIAL MEDIA; DATA SCIENCE; TWITTER; CLOUD;
D O I
10.1007/s10479-017-2584-2
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:939 / 959
页数:21
相关论文
共 151 条
[1]  
Aboelmaged MG, 2010, INT J QUAL RELIAB MA, V27, P268, DOI 10.1108/02656711011023294
[2]   Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research [J].
Agarwal, Ritu ;
Dhar, Vasant .
INFORMATION SYSTEMS RESEARCH, 2014, 25 (03) :443-448
[3]  
Akter S, 2016, ELECTRON MARK, P1
[4]   How to improve firm performance using big data analytics capability and business strategy alignment? [J].
Akter, Shahriar ;
Wamba, Samuel Fosso ;
Gunasekaran, Angappa ;
Dubey, Rameshwar ;
Childe, Stephen J. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 182 :113-131
[5]   Towards multi-agency sensor information integration for disaster management [J].
Alamdar, Farzad ;
Kalantari, Mohsen ;
Rajabifard, Abbas .
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2016, 56 :68-85
[6]   OR/MS research in disaster operations management [J].
Altay, Nezih ;
Green, Walter G., III .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 175 (01) :475-493
[7]   Big Sensor Data Applications in Urban Environments [J].
Ang, Li-Minn ;
Seng, Kah Phooi .
BIG DATA RESEARCH, 2016, 4 :1-12
[8]  
[Anonymous], 2015, FORBES
[9]  
[Anonymous], 2012, ANN DISASTER STAT RE
[10]  
[Anonymous], 2012, GUARDIAN