Journal of the Korean Society for Aviation and Aeronautics (한국항공운항학회지)

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Analysis of Aviation Safety Data Structure and Standard Classification

항공안전데이터 구조 분석 및 표준 분류체계에 관한 연구

  • Received : 2020.11.13
  • Accepted : 2020.12.03
  • Published : 2020.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

In order to enhance the safety of the international aviation industry, the International Civil Aviation Organization has recommended establishing an operational foundation for systematic and integrated collection, storage, analysis and sharing of aviation safety data. Accordingly, the Korea aviation industry also needs to comprehensively manage the safety data which generated and collected by various stakeholders related to aviation safety, and through this, it is necessary to previously identify and remove hazards that may cause accident. For more effective data management and utilization, a standard structure should be established to enable integrated management and sharing of safety data. Therefore, this study aims to propose the framework about how to manage and integrate the aviation safety data for big data-based aviation safety management and shared platform.

Keywords

Acknowledgement

본 연구는 국토교통부 항공선진화사업의 일환으로 국토교통과학기술진흥연구원 ("빅데이터기반 항공안전관리 기술개발 및 플랫폼 구축", 과제번호: 20BDAS-B158275-01)사업을 통해 수행되었습니다.

References

  1. Ahn, J. H., Song, B. H. and Choi, Y. J., "A study on the composition and application of risk based aviation safety oversight checklist", Journal of the Korean Society for Aviation and Aeronautics, 28(2), 2020, pp. 71-77. https://doi.org/10.12985/ksaa.2020.28.2.071
  2. Bae, D. M., Park, H. S. and Oh, K. H., "Big data trends and policy implications", ICT & Media Policy, 25(10), 2013, pp. 37-74.
  3. Byun, H. J. and Lee, Y. S., "A study on data mapping for integrated analysis of railway safety data", Journal of the Korean Society for Railway, 20(5), 2017, pp. 703-712. https://doi.org/10.7782/JKSR.2017.20.5.703
  4. De Mauro, A., Greco, M. and Grimaldi, M., "What is big data? A consensual definition and a review of key research topics", In AIP conference proceedings, 1644(1), 2015, pp. 97-104. https://doi.org/10.1063/1.4907823
  5. Denney, E., Pai, G. and Whiteside, I., "The role of safety architectures in aviation safety cases" Reliability Engineering & System Safety, 191(106502), 2019.
  6. Dong, X. L. and Srivastava, D., "Big data integration", Workshops Proceeding: 2013 IEEE 29th International Conference on Data Engineering(ICDE), IEEE, Brisbane, QLD, Apr. 8-12, 2013, pp. 1245-1248.
  7. Dou, X., "Big data and smart aviation information management system", Cogent Business & Management, 7(1), 2020, Published online.
  8. FAA Data Dictionary for FAA Accident and Incident System. https://www.asias.faa.gov/apex/f?p=100:15:::NO::P15_REGION_VAR:3
  9. Hong, S. H., Noh, H. M., Kim, Y. H. and Kim, K. H., "A study on data integration for railway safety management system", Proceeding of the KSR Conference, 2010.
  10. ICAO Doc 9859 4th edit.
  11. Ishwarappa and Anuradha, J., "A brief introduction on big data 5Vs characteristics and Hadoop technology" Procedia Computer Science, 48, 2015, pp. 319-324. https://doi.org/10.1016/j.procs.2015.04.188
  12. Kang, S. K. and Lee, Y. J. "A study on data standardization and utilization for disaster and safety management in educational facilities", The Journal of Information Systems, 27(2), 2018, pp. 175-196. https://doi.org/10.5859/KAIS.2018.27.2.175
  13. Kim, B. S. and Lee, D. S., "Development of disaster safety data standardization technology for disaster information management", Water for Future, 52(1), 2019, pp. 40-51.
  14. Kim, H. G. and O, S. G., "Case study of traffic data standards in the US", Transportation Technology and Policy, 3(1), 2006, pp. 80-86.
  15. Kim, J. S., "A research of enhancing data quality through the implementation of data standardization", Proceedings of the Korean Information Science Society Conference, 2006, pp. 210-213.
  16. Korea Ministry of Government Legislation. https://www.law.go.kr/%EB%B2%95%EB%A0%B9/%ED%95%AD%EA%B3%B5%EC%95%88%EC%A0%84%EB%B2%95
  17. KoROAD, http://taas.koroad.or.kr/api/selectApiIntroduce.do
  18. Kwon, O., Lee, N. and Shin, B., "Data quality management, data usage experience and acquisition intention of big data analytics", International Journal of Information Management, 34(3), 2014, pp. 387-394. https://doi.org/10.1016/j.ijinfomgt.2014.02.002
  19. Lee, D. S. and Kim, B. S., "Collection and utilization of unstructured environmental disaster by using disaster information standardization", Ecology and Resilient Infrastructure, 6(4), 2019, pp. 236-242. https://doi.org/10.17820/eri.2019.6.4.236
  20. Lee, D. S., Kwon, B. and Kim, B. S., "A study on standardization of the public use of disaster and safety information", Journal of the Korean Society of Hazard Mitigation, 19(3), 2019, pp. 75-83. https://doi.org/10.9798/kosham.2019.19.3.75
  21. Lee, S. G., Choi, G. Y. and Song, C. U., "A study on standardization of data exchange between information systems related to marine transportation", Journal of Korean Navigation and Port Research, 33(8), 2009, pp. 236-242.
  22. Liou, J. J., Yen, L. and Tzeng, G. H., "Building an effective safety management system for airlines", Journal of Air Transport Management, 14(1), 2008, pp. 20-26. https://doi.org/10.1016/j.jairtraman.2007.10.002
  23. Metadata for Runway Safety System. https://www.asias.faa.gov/apex/f?p=100:32:::NO::P32_REGION_VAR:3
  24. Ministry of the Interior and Safety Notice 2019-20. https://www.mois.go.kr/frt/bbs/type001/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000016&nttId=69428
  25. Ministry of Land, Infrastructure and Transport, https://www.data.go.kr/data/15049020/fileData.do
  26. Mosleh, A., Dias, A., Eghbali, G. and Fazen, K. "An integrated framework for identification, classification, and assessment of aviation systems hazards", Probabilistic Safety Assessment and Management, 2004, pp. 2384-2390.
  27. Ni, X., Wang, H., Che, C., Hong, J. and Sun, Z., "Civil aviation safety evaluation based on deep belief network and principal component analysis", Safety Science, 112, 2019, pp. 90-95. https://doi.org/10.1016/j.ssci.2018.10.012
  28. NTSB Data Dictionary for Accident and Incident System. https://www.asias.faa.gov/apex/f?p=100:9:::NO::P9_REGION_VAR:3
  29. Oster Jr, C. V, Strong, J. S., Zorn, C. K., "Analyzing aviation safety: Problems, challenges, opportunities", Research in Transportation Economics, 43(1), 2013, pp. 148-164. https://doi.org/10.1016/j.retrec.2012.12.001
  30. Park, J. S., Kim, J. C. and Sim, G. R., "Supporting air transport policies using big data analysis", The Korean Transport Institute, 2014, pp. 1-179.
  31. Park, M. K., "A study on model of the state's aviation safety management system", Journal of the Korea Safety Management & Science, 13(2), 2011, pp. 1-8. https://doi.org/10.12812/KSMS.2011.13.2.001
  32. Park, T. Y., Han, H. J., Kim, Y. and Kim, S. J., "A study on the analysis and improvement of classifications for integrated management of disaster and safety information", Journal of the Korean BIBLIA Society for Library and Information Science, 28(3), 2017, pp. 125-150. https://doi.org/10.14699/kbiblia.2017.28.3.125
  33. Park, Y. and Kim, S. A., "Research on railway safety common data model and dds topic for real-time railway safety data transmission", Journal of The Korea Society of Computer and Information, 21(5), 2016, pp. 57-64. https://doi.org/10.9708/jksci.2016.21.5.057
  34. Public data portal, https://www.data.go.kr/tcs/dss/selectDataSetList.do
  35. Walker, G., "Redefining the incidents to learn from: Safety science insights acquired on the journey from black boxes to flight data monitoring", Safety Science, 99, 2017, pp. 14-22. https://doi.org/10.1016/j.ssci.2017.05.010