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The effect of marine weather on boating accident: Focused on Tongyeong sea area
Journal of the Korean Data & Information Science Society 2020;31:123-33
Published online January 31, 2020;  https://doi.org/10.7465/jkdi.2020.31.1.123
© 2020 Korean Data and Information Science Society.

Kyeongjun Lee1 · Hoonseok Yoon2 · Suhyun Han3 · Junho Jeong4 · Yeonjae Kim5

1Division of Mathematics and Big Data Science, Daegu University
2345Daegu Science High School
Correspondence to: Associate professor, Division of Mathematics and Big Data Science, Daegu University, Gyeongsan 38453, Korea. E-mail: indra_74@naver.com
This research was supported by Daegu Science High School Research Program, 2019.
Received November 8, 2019; Revised December 20, 2019; Accepted December 26, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Recently, boating accidents have been increased every year. The carelessness of officers, many marine weather factors have a great influence on the boating accidents. Especially, the number of marine accident is governed by wind speed, atmospheric pressure, water temperature, wave height and wave period. The purpose of this paper is to analyse the effect of marine weather factors on boating accident. We use the data of boating accident, marine weather factors (wind speed, atmospheric pressure, water temperature, wave height and wave period), time zone and day of the week in 2018. We did statistical analysis using logistic regression analysis and decision tree analysis. These prediction models may be used to predict the boating accident according to the marine weather condition.
Keywords : Boating accident, decision tree analysis, logistic regression analysis, marine weather factor, Tongyeong sea area.