Research Article
Research on Collaborative Decision-making Mechanism of Emergency Management Departments in Major Emergencies Empowered by Digital Technology
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345334, author={Taibao Sun}, title={Research on Collaborative Decision-making Mechanism of Emergency Management Departments in Major Emergencies Empowered by Digital Technology}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={big data; blockchain; collaborative sectoral decision-making; emergency management decision-making; hypercyclic theory; full emergency management cycle}, doi={10.4108/eai.15-12-2023.2345334} }
- Taibao Sun
Year: 2024
Research on Collaborative Decision-making Mechanism of Emergency Management Departments in Major Emergencies Empowered by Digital Technology
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345334
Abstract
In today's society, the development of digital technology in China is very rapid, and nowadays all kinds of major emergencies are also endless. All types of emergencies pose significant challenges and threats to our social stability, the peaceful lives of people, and national security. Digital technology is a fundamental technology for the advancement of modern emergency management. It serves as a crucial technical support for the establishment of emergency management systems and the prevention of emergencies in the new era. Therefore, conducting research on decision-making in emergency management for major emergencies, empowered by digital technology, is of great significance. First of all, this paper launched a study of major natural disasters, a specific scene of emergencies, for major natural disasters to carry out a whole process, the whole cycle of an analysis, and then on this basis for the development of the actual major natural disasters, emergency rescue research, emergency rescue for major natural disasters, material scheduling of supply and demand matching and the corresponding decision-making problems and The structure of supply and demand matching is analysed in depth.