Research on warning and monitoring mechanism of economic operation of air passenger transport economic operation under the impact of COVID-19
3rd IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2021
; : 401-407, 2021.
Article
in English
| Scopus | ID: covidwho-1672707
ABSTRACT
The COVID-19 has had a great impact on the global air transport industry. This paper analyzes the impact on China's air economic operation, including the current situation, challenges and problems of the regulation mechanism. A warning system for the economic operation of air passenger transport industry is conducted. With the help of warning lights, it reflects the degree of hotness or coldness of economic operation in 2011-2020.In addition, the study establishes the BP neural network forecast model to predict the economic operation of civil aviation industry in the next three years, and proposes the specific early warning management mechanism from five aspects. The conclusion of this study provides a strong support for guiding the civil aviation industry to prevent economic operation risks and improving the anti-vulnerability and resilience of the development of China's civil aviation industry. © 2021 IEEE
BP neural network model; COVID-19; Early warning system; Civil aviation; Economic analysis; Industrial economics; Air passengers; Air transport industry; BP neural networks model; Economic operations; Monitoring mechanisms; Passenger transport; Transport economics; Warning mechanisms; Neural networks
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
3rd IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2021
Year:
2021
Document Type:
Article
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