Research on Collaborative Governance of Public Crisis Events Based on Big Data Information Processing Technology

DOI

10.2991/978-94-6463-256-9_9How to use a DOI?

Keywords

big data; information processing; public crisis; collaborative governance

Abstract

This paper adopts a quantitative approach to the study of collaborative public crisis management in the context of big data. Quantitative analysis is conducted on the data of population movement and epidemic distribution, production and deployment of epidemic prevention resources and public service provision during the epidemic. The results show that information processing technology based on big data can uncover the development pattern of the epidemic, implement precise prevention and control, carry out information-based deployment of epidemic prevention resources and realise digital citizen-friendly services. On this basis, a collaborative public crisis management model based on big data information processing technology is proposed.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yan Ke
AU  - Ying Wei
PY  - 2023
DA  - 2023/10/09
TI  - Research on Collaborative Governance of Public Crisis Events Based on Big Data Information Processing Technology
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 78
EP  - 86
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_9
DO  - 10.2991/978-94-6463-256-9_9
ID  - Ke2023
ER  -