Big Data and Emergency Management: Concepts, Methodologies, and Applications

Song，Xuan1,2; Zhang，Haoran2; Akerkar，Rajendra3; Huang，Huawei4; Guo，Song4; Zhong，Lei5; Ji，Yusheng5; Opdahl，Andreas L.6; Purohit，Hemant7; Skupin，Andre8; Pottathil，Akshay8; Culotta，Aron9

2022-04-01

10.1109/TBDATA.2020.2972871

IEEE Transactions on Big Data   Impact Factor & Quartile

2332-7790

Recent decades have seen a significant increase in the frequency, intensity, and impact of natural disasters and other emergencies, forcing the governments around the world to make emergency response and disaster management national priorities. The growth of extremely large and complex datasets - commonly referred to as big data - and various advances in information and communications technology and computing now support more effective approaches to humanitarian relief, logistical coordination, overall disaster management, and long-term recovery in connection with natural disasters and emergency events. Leveraging big data and technological advances for emergency management has attracted considerable attention in the research community. However, the desired merging of big data and emergency management (BDEM) requires coordinated efforts to align and define interdisciplinary terminologies and methodologies. To date, the key concepts and technologies in this emerging research area have not been coherently discussed in a sufficiently broad and multidisciplinary manner. In this article, an international team presents an overview of the BDEM domain, highlighting a general framework and discussing key challenges from several perspectives. We introduce and summarize typical technologies and applications, organized into the six broad categories of remote sensing, resilient communication networks, mobile communication networks, human mobility and urban sensing, social network analysis, and knowledge graphs. Finally, we outline several directions of future research.

Disaster informatics emergency management smart city urban computing

SCI ; EI

English

First ; Corresponding

WOS:000767848400008

20202108688371

Civil defense ; Coordination reactions ; Emergency services ; Smart city ; Disaster prevention ; Information management ; Large dataset ; Remote sensing ; Social networking (online)

Civil Defense:404.2 ; Computer Software, Data Handling and Applications:723 ; Data Processing and Image Processing:723.2 ; Chemical Reactions:802.2 ; Accidents and Accident Prevention:914.1

2-s2.0-85089757835

Scopus

1.Southern University of Science and Technology (SUSTech),Guangdong,Shenzhen,518055,China
2.University of Tokyo,Tokyo,Bunkyo City,113-8654,Japan
3.Western Norway Research Institute,Sogndal,6856,Norway
4.Hong Kong Polytechnic University,Kowloon,Hong Kong
5.National Institute of Informatics,Tokyo,Chiyoda,101-8430,Japan
6.University of Bergen,Bergen,5007,Norway
7.George Mason University,Fairfax,22030,United States
8.San Diego State University,San Diego,92182,United States
9.Ilinois Institute of Technology,Chicago,60616,United States

Song，Xuan,Zhang，Haoran,Akerkar，Rajendra,et al. Big Data and Emergency Management: Concepts, Methodologies, and Applications[J]. IEEE Transactions on Big Data,2022,8(2):397-419.

Song，Xuan.,Zhang，Haoran.,Akerkar，Rajendra.,Huang，Huawei.,Guo，Song.,...&Culotta，Aron.(2022).Big Data and Emergency Management: Concepts, Methodologies, and Applications.IEEE Transactions on Big Data,8(2),397-419.

Song，Xuan,et al."Big Data and Emergency Management: Concepts, Methodologies, and Applications".IEEE Transactions on Big Data 8.2(2022):397-419.