Browse > Article
http://dx.doi.org/10.7837/kosomes.2020.26.7.798

Study on the EDA based Statistics Attributes Discovery and Utilization for the Maritime Safety Statistics Items Diversification  

Kang, Seong Kyung (Department of MIS, Dongguk University)
Lee, Young Jai (Department of MIS, Dongguk University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.26, no.7, 2020 , pp. 798-809 More about this Journal
Abstract
Evidence-based policymaking and assessments for scientific administration have increased the importance of statistics (data) utilization. Statistics can explain specific phenomena by providing numerical values and are a public resource for national decision making. Due to these inherent attributes, statistics are utilized as baseline and base data for government policy determinations and the analysis of various phenomena. However, compared to the importance, the role of statistics is limited, and statistics are often used as simple abstracts, produced mainly for suppliers, not for consumers' perspectives to create value. This study explores the statistical data and other attributes that can be utilized for policies or research to address the problems mentioned above. The baseline statistical data used in this study is from the Maritime Distress Accident Statistical Yearbook published by the South Korean Coast Guard, and other additional attributes are from text analyses of vessel casualty situation reports from the South Korean Maritime Police. Collecting 56 attributes drawn from the text analysis and executing an EDA resulted in 88 attribute unions: 18 attribute unions had a satisfactory significance probability (p-value < .05) and a strong correlation coefficient above 0.7, and 70 attribute unions had a middle correlation. (over 0.4 and under 0.7). Additionally, to utilize the extra attributes discovered from the EDA politically, a keyword analysis for each detailed strategy of the disaster Preparation basic plan was executed, the utilization availability of the attributes was obtained using a matching process of keywords, and the EDA deducted attributes were examined.
Keywords
Exploratory Data Analysis(EDA); Evidence-Based Decision-Making; Statistics Attribute; Policy Improvement; Maritime Safety;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
1 Seo, M. S. and S. J. Bae(2002), The Study on the Analysis of Marine Accidents and Preventive Measures, Journal of fishries and marine sciences education, Vol. 14, No. 2, pp. 149-160.
2 Anderson, C.(2008), The End of Theory: The Data Deluge Makes the Scientific Method Obsolete, Vol. 16, No. 7.
3 Ahn, T. H.(2015), Data compilation methods through the use of administrative data: Specifically analysed in the field of the Mining and Manufacturing Industry Survey, Korea University Graduate School of Public Administration.
4 Behrens, J. T.(1997), Principles and procedures of exploratory data analysis. Psychological Methods, Vol. 2, No. 2, pp. 131-160.   DOI
5 Chae, C. J., Y. S. Park, S. H. Jo, S. Y. Kang, H. Lee, and H. B. Kim(2019), A Study on the Emergency Response Empowerment for Captain Based on the Analysis of Maritime Accidents, Journal of the Korean Society of Marine Environment and Safety, Vol. 25, No. 4, pp. 413-422.   DOI
6 Cho, H. K., B. S. Park, D. H. Kang, and S. S. Kim(2017), The Main factor and Counterplan for Marine accidents in Korea, Journal of fishries and marine sciences education, Vol. 29, No. 3, pp. 746-756.   DOI
7 Choi, J. Y.(2016), Toparchy occupation statistics writing study through administRn data matching, Korean University Graduate School paper of masters degree.
8 Good, I. J.(1983), The philosophy of exploratory data analysis. Philosophy of science, Vol. 50, No. 2, pp. 283-295.   DOI
9 Hong, J. U.(2015), A Study On data Fusion Using Statistical Matching, Sungkyunkwan University.
10 Howlett, M.(2009), Policy analytical capacity and evidence based policy making: Lessons from Canada, Canadian public administRn, Vol. 52, No. 2, pp. 153-175.   DOI
11 Jang, W. J. and J. S. Keum(2004), An Analysis on the Models of Occurrence Probability of Marine Casualties, Journal of The Korean Society of Marine Environment & Safety, Vol. 10, No. 2, pp. 29-34.
12 Kim, D. S.(2018), A Study on the Prevention of Ship Collision in Low Visibility: Focusing on the Role of Korea Coast Guard, Korean Association of Maritime Police Science, Vol. 8, No. 3, pp. 71-85.   DOI
13 Kim, J. Y.(2016), Hello, DATA SCIENCE, Hanbit Media.
14 Kwon, D. C.(2017), Statistics is not just numerical value, Policy, Health and welfare forum, korea health and social affairs researcher, Vol. 250, No. 1, pp. 2-4.
15 Lee, E. G.(2017), Agricultural statistics writing technique advancement way utilizing administRn data - mainly for fishing industry total investigation and fishery business, Korea University Graduate School of Public AdministRn paper of masters degree.
16 Lee, K. H.(2016), A Study on the Actual Condition and the Countermeasure of Marine Accidents, Korean Association of Police Science, Vol. 18, No. 6, pp. 27-54.
17 National Statistical Office(2020), 2020 statistics based Policy Evaluation, Daejeon: National Statistical Office.
18 Lee, K. J., M. K. Kim, J. Y. Ahn, and K. H. Choi(2012), A case study on the selection of representative statistics for systematic management of administrative statistics, Journal of the korean data&information science society, Vol. 23, No. 1, pp. 63-70.   DOI
19 Lee, Y. J., S. K. Kang, and J. Y. Gu(2019), A Study on Marine Accident Ontology Development and Data Management: Based on a Situation Report Analysis of Southwest Coast Marine Accidents in Korea, Journal of the Korean Society of Marine Environment and Safety, Vol. 25, No. 4, pp. 423-432.   DOI
20 Lee, Y. J., S. K. Kang, and J. Y. Gu(2020), The Initial Reaction Analysis by Ocean Safety Information Classification System : Focused on Boating Accidents of the Central Part Seas, Korean Association of Maritime Police Science, Vol. 10, No. 1, pp. 67-86.   DOI
21 Noh, C. K.(2002), A Study on the Developments of the Salvage & Oil Spills Response, Journal of Navigation and Port Research, Vol. 26, No. 6, pp. 549-554.   DOI
22 Oh, S. Y., K. Yoon, and K. Oh(2017), present situation research about Government Statistics Establishment and utilization for Evidence-based policy, Korea Institute of Public Administration.
23 Park, B. S.(2018), AdministRn data and research data matching by statistical technique, Hannam University Graduate School paper of masters degree.
24 Park, T. G., S. J. Kim, Y. S. Chu, T. S. Park, K. J. Ryu, and Y. W. Lee(2018), Reduction plan of marine casualty for small fishing vessels, Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 54, No. 2, pp. 173-180.   DOI
25 Seltman, H. J.(2018), Experimental design and analysis, pp. 61-100.