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http://dx.doi.org/10.12985/ksaa.2021.29.4.105

Requirements for Operation Procedure and Plan for the Korean Aviation Safety Big-Data Platform based on the Case of FAA ASIAS  

Kim, Jun Hwan (항공안전기술원)
Lim, Jae Jin (항공안전기술원)
Park, Yu Rim (항공안전기술원)
Lee, Jang Ryong (한국항공대학교 항공운항학과)
Publication Information
Journal of the Korean Society for Aviation and Aeronautics / v.29, no.4, 2021 , pp. 105-116 More about this Journal
Abstract
The importance of a systematic approach to collect, process, analyze, and share safety data in aviation safety management is continuously increasing. Accordingly, the domestic aviation industry has been making efforts to build a Big-data platform that can utilize multi-field safety data generated and managed by various stakeholders and to develop safety management technology based on them. Big data platforms not only must meet appropriate technical requirements, but also need to establish a management system for effective operation. The purpose of this study is to suggest the requirements of the aviation safety big data platform operation procedure and plan by reviewing the advanced overseas cases (FAA ASIAS). This study can provide overall framework and managerial direction for the operation of the aviation safety big data platform.
Keywords
Aviation Safety; Big-Data Platform; Operation Procedure and Plan; Case Study; Aviation Safety Information Analysis and Sharing;
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1 Das, K. P., and Dey, A. K., "Quantifying the risk of extreme aviation accidents", Physical A: Statistical Mechanics and Its Applications, 463, 2016, pp.345-355.   DOI
2 Kim, J. H., Lim, J. J., and Lee, J. R., "A study on the analysis of aviation safety data structure and standard classification", Journal of the Korean Society for Aviation and Aeronautics, 28(4), 2020, pp.89-101.   DOI
3 ICAO Doc 9859, "1. Safety Management Manual", 4th edit, 2017.
4 Singh, A., and Kaushik, A., "Knowledge based retrieval scheme from big data for aviation industry", 2015 International Conference on Computational Intelligence and Communication Networks, Jabalpur, India, 2015, pp.918-923.
5 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.   DOI
6 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.   DOI
7 ICAO, Doc 10004, "Global Aviation Safety Plan 2020-2022", 2020.
8 National Information Resources Service, https://www.law.go.kr/admRulLsInfoP.do?admRulSeq=2100000065290
9 No, K. S., "What is the Platform", Communication Books, Seoul, 2014.
10 Jeong, J., H., "Status of operation and improvement plan of big data platform", National Assembly Research Service, 2020, Online Published, pp.1-78.
11 Ministry of the Interior and Safety, https://www.mois.go.kr/frt/bbs/type010/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000008&nttId=62348
12 Ministry of Science and ICT, https://www.msit.go.kr/bbs/view.do?sCode=user&mId=113&mPid=112&pageIndex=&bbsSeqNo=94&nttSeqNo=3179943&searchOpt=ALL&searchTxt=
13 Korea Agency for Infrastructure Technology Advancement, http://www.gwnu.ac.kr/bbs/iacg/25654/96535/artclView.do
14 ASIAS, "Procedures and Operations Plan for Commercial Aviation V.11".
15 Stewart, K. A., and Segars, A. H., "An empirical examination of the concern for information privacy instrument", Information Systems Research, 13(1), 2002, pp.36-49.   DOI
16 FAA, FY 2021 AVS Business Plan.
17 Dong, X., Li, R., He, H., Zhou, W., Xue, Z., and Wu, H., "Secure sensitive data sharing on a big data platform", Tsinghua Science and Technology, 20(1), 2015, pp.72-80.   DOI
18 Kim, J. A., and Kim, J. K., "Airport congestion analysis with big data analysis", Journal of the Korean Society for Aviation and Aeronautics, 28(2), 2020, pp.36-46.   DOI
19 49 U.S.C. 44735 Limitation on disclosure of safety information, https://www.govinfo.gov/app/details/USCODE-2014-title49/USCODE-2014-title49-subtitleVII-partA-subpartiii-chap447-sec44735
20 National Information Society Agency, "Business Procedures and Technology Utilization Manuals for Each Stage of Big Data Utilization", 2014.
21 Li, B., Ming, X. Li, G., "Big data analytics platform for flight safety monitoring", In 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA), Beijing, China, 2017, pp.350-353.
22 Lai, O. C., "Design and security impact on consumers' intention to use single platform E-payment", Interdisciplinary Information Sciences, 22(1), 2016, pp.111-122.   DOI
23 Zhou, H., Lou, J.-G., Zhang, H., Lin, H., Lin, H., and Qin, T., "An empirical study on quality issues of production big data platform", 2015 IEEE/ACM 37th IEEE Inter-national Conference on Software Engineering, Florence(Italy), 2, 2015, pp.17-26.
24 Barak, S., and Dahooei, J. H., "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation", Journal of Air Transport Management, 73, 2018, pp.134-149.   DOI
25 49 U.S.C 40123 Protection of voluntarily submitted information, https://www.govinfo.gov/app/details/USCODE-2009-title49/USCODE-2009-title49-subtitleVII-partA-subparti-chap401-sec40123
26 14 CFR Part 193 Protection of voluntarily submitted information, https://www.ecfr.gov/current/title-14/chapter-I/subchapter-K/part-193
27 Dou, X., "Big data and smart aviation information management system", Cogent Business & Management, 7(1), 2020, 1766736.   DOI
28 Skybrary, "Aviation safety information analysis and sharing", https://skybrary.aero/index.php/Aviation_Safety_Information_Analysis_and_Sharing_(ASIAS)
29 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
30 Lai, I. K. W., and Shi, G, "The impact of privacy concerns on the intention for continued use of an integrated mobile instant messaging and social network platform", International Journal of Mobile Communications, 13(6), 2015, pp.641-669.   DOI
31 Ministry of the Interior and Safety, https://www.law.go.kr/%EB%B2%95%EB%A0%B9/%EA%B3%B5%EA%B3%B5%EB%8D%B0%EC%9D%B4%ED%84%B0%EC%9D%98%EC%A0%9C%EA%B3%B5%EB%B0%8F%EC%9D%B4%EC%9A%A9%ED%99%9C%EC%84%B1%ED%99%94%EC%97%90%EA%B4%80%ED%95%9C%EB%B2%95%EB%A5%A0
32 Ministry of the Interior and Safety, https://www.law.go.kr/%EB%B2%95%EB%A0%B9/%EC%A0%95%EB%B3%B4%EA%B3%B5%EA%B0%9C%EB%B2%95
33 Lalis, A., Socha, V., Kremen, P., Vittek, P., Socha, L., and Kraus, J., "Generating synthetic aviation safety data to resample or establish new datasets", Safety Science, 106, 2018, pp.154-161.   DOI
34 Constantiou, I. D., and Kallinikos, J., "New games, new rules: Big data and the changing context of strategy", Journal of Information Technology, 30(1), 2015, pp.44-57.   DOI
35 U.S. Department of Transportation, "FAA Has Made Progress in Implementing ASIAS, but Work Remains To Better Predict, Prioritize, and Communicate Safety Risks", 2021, pp.1-36.
36 Jin, X., Wah, B. W., Cheng, X., and Wang, Y., "Significance and challenges of big data research", Big Data Research, 2(2), 2015, pp.59-64.   DOI