Open Access
ARTICLE
Enhancing Knowledge Management and Decision-Making Capability of China’s Emergency Operations Center Using Big Data
Yefeng Maa, Hui Zhangb
a School of Economics and Management, Tsinghua University, Beijing, China;
b Department of Engineering Physics, Tsinghua University, Beijing, China
* Corresponding Author: Hui Zhang,
Intelligent Automation & Soft Computing 2018, 24(1), 107-114. https://doi.org/10.1080/10798587.2016.1267249
Abstract
Emerging communication and computing technologies such as social media, Internet of Things and
big data provide great opportunities to improve information management systems for emergency
operations. This paper studies the issues of information management at China’s Emergency Operations
Center (EOC), and proposes a data-driven knowledge management system (KMS) to support decisionmaking, coordination, and collaboration within EOCs and with the public. In the proposed KMS, big
data analytics is employed to gather and analyze information from different knowledge domains and
track how a crisis evolves in physical world and in cyber space. The proposed system aims at improving
situation awareness of public opinions and regulating human behaviors in regards to an emergency.
A case study is presented to explain how the proposed system is applied to improve decision-making
during emergency.
Keywords
Cite This Article
Y. Ma and H. Zhang, "Enhancing knowledge management and decision-making capability of china’s emergency operations center using big data,"
Intelligent Automation & Soft Computing, vol. 24, no.1, pp. 107–114, 2018. https://doi.org/10.1080/10798587.2016.1267249