Application of social sensors in natural disasters emergency management: A review

Article

Shi, Kaize, Peng, Xueping, Lu, Hao, Zhu, Yifan and Niu, Zhendong. 2022. "Application of social sensors in natural disasters emergency management: A review." IEEE Transactions on Computational Social Systems. 10 (6), pp. 3143-3158. https://doi.org/10.1109/TCSS.2022.3211552
Article Title

Application of social sensors in natural disasters emergency management: A review

ERA Journal ID212762
Article CategoryArticle
AuthorsShi, Kaize, Peng, Xueping, Lu, Hao, Zhu, Yifan and Niu, Zhendong
Journal TitleIEEE Transactions on Computational Social Systems
Journal Citation10 (6), pp. 3143-3158
Number of Pages16
Year2022
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN2329-924X
Digital Object Identifier (DOI)https://doi.org/10.1109/TCSS.2022.3211552
Web Address (URL)https://ieeexplore.ieee.org/abstract/document/9923419
Abstract

Natural disasters are public emergencies characterized by suddenness, universality, and nonconventionality. Realizing the early warning, monitoring, and intervention of natural disasters and their derivative social impacts is significant for reducing the disasters’ damage and benefits the maintenance of social stability. Social sensors are ubiquitous sensors based on social network platforms. It uses the concepts and methods of physical space to mine social signals that integrate human perception and intelligence in cyberspace. Compared with traditional physical sensors, social sensors represent a crucial data acquisition channel in the emergency management of natural disasters and have the advantages of real time, comprehensive coverage, low cost, and flexible deployment. This article reviews the application of social sensors in natural disasters emergency management. We summarize the application functions of social sensors into three categories: natural disaster situation awareness and event detection, disaster information dissemination and communication, and disaster sentiment analysis and public opinion mining. Based on the above functions, this article analyzes the research status, data, technical methods, and application systems. Finally, this article proposes a research trend of applying social sensors in natural disaster emergency management according to the requirements of real scenarios.

KeywordsDecision support system; mergency management; parallel system; social network analysis; social sensor; sudden natural disa
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204602. Artificial intelligence
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Byline AffiliationsUniversity of Technology Sydney
Chinese Academy of Sciences, China
Tsinghua University, China
University of Pittsburgh, United States
Beijing Institute of Technology, China
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