Evaluation of the Use of an Airline's Voluntary Reporting System Based on RFV Model
- DOI
- 10.2991/978-94-6463-194-4_48How to use a DOI?
- Keywords
- voluntary reporting; civil aviation safety; Information analysis; RFV model
- ABSTRACT
Voluntary report information analysis is one of the key work in the field of civil aviation security. Voluntary report information is characterized by large quantity, miscellaneous content and unstandardized expression. In order to solve the problem that it is difficult for airlines to evaluate the voluntary report of various departments, this paper takes the voluntary report information of an airline in the first half of 2020 as the research sample and establishes the RFV model on the basis of the RFM model. With analysis the three dimensions of voluntary reporting (recency, frequency, value), map RFV coordinates, partition by RFV, voluntary reporting will eventually departments are divided into eight categories, according to the results of classification, and the sample information corresponding to the appropriate category, then analysis the airline departments voluntary reporting, and improvement measures are put forward.
- Copyright
- © 2023 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.
Cite this article
TY - CONF AU - Junjie Liu AU - Liying Dong PY - 2023 DA - 2023/07/21 TI - Evaluation of the Use of an Airline's Voluntary Reporting System Based on RFV Model BT - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022) PB - Atlantis Press SP - 343 EP - 350 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-194-4_48 DO - 10.2991/978-94-6463-194-4_48 ID - Liu2023 ER -