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2023 | OriginalPaper | Buchkapitel

Domestic Big Data and Emergency Management Research

verfasst von : Di Wang, Zhichao Xu

Erschienen in: Frontier Computing

Verlag: Springer Nature Singapore

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Abstract

Big data is currently changing the world, and data collection and analysis are important means to improve emergency management functions. To study the development trend of emergency management in China based on the big data environment. This study analyzes the annual number of papers and the number of 148 core journal papers related to this topic published on CNKI (China Knowledge Network) from 2013 to 2021. Scientific quantitative analysis of source journals, institutional distribution, author partnerships, and hot keywords. The research results are clustered and analyzed through VOSviewer visualization. At present, the topic is researched around four core themes: 1. Big data, Internet of Things, artificial intelligence in emergency management technology research; 2. Big data in Public emergencies such as the application research of epidemic prevention health codes in the new crown epidemic; 3. Research on emergency intelligence of big data in public emergencies. 4. Research on big data decision-making in emergency intelligence. Based on the current research status, relevant suggestions are made for the development of big data and emergency management in my country, and more scientific and technological talents should be introduced in the field of emergency management, and emergency management researchers in new liberal arts and new engineering will be cultivated; the field of emergency management under the background of the era of big data Carry out more cross-disciplinary and cross-field cooperation, carry out more disciplinary exchanges and team exchanges; layout a more comprehensive social and government emergency management data analysis network.

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Metadaten
Titel
Domestic Big Data and Emergency Management Research
verfasst von
Di Wang
Zhichao Xu
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-1428-9_259

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