Your browser doesn't support javascript.
Analytic hierarchy clustering research of all cargo airlines based on safety information
4th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2022 ; : 379-383, 2022.
Article in English | Scopus | ID: covidwho-2213220
ABSTRACT
Due to the COVID-19, air passenger transport industry is sluggishm. At the same time, based on the strong demand for freight business. Airlines focus on developing cargo sector. All-cargo airlines are gradually being established. The number of registered cargo aircraft has gradually increased in recent years,and cargo transport flight hours are gradually increasing. This leads to an increase in cargo aviation security incidents. The safety information analysis of cargo aircraft needs to be solved urgently. In this paper, a hierarchical analysis and clustering research on all-cargo airlines based on China aviaiton safety information data is carried out. The results show that all-cargo airlines security incidents are divided into three categories. The paper provides security recommendations for different incident categories. © 2022 IEEE.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2022 Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2022 Year: 2022 Document Type: Article