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A Study on Trends of Key Issues in Port Safety at Busan Port

부산항 항만안전 주요 이슈 동향에 관한 연구

  • Jeong-Min Lee (Department of Convergence Interdisciplinary Education of Maritime & Ocean Contents, Korea Maritime and Ocean University) ;
  • Do-Yeon Ha (KMI-KMOU Cooperation Course, Korea Maritime and Ocean University) ;
  • Joo-Hye Kim (Logistics System Engineering, Korea Maritime and Ocean University)
  • 이정민 (한국해양대학교 해양컨텐츠융복합과정 물류시스템공학전공) ;
  • 하도연 (한국해양대학교 KMI학연협동과정) ;
  • 김주혜 (한국해양대학교 물류시스템공학과)
  • Received : 2023.11.28
  • Accepted : 2024.01.31
  • Published : 2024.02.29

Abstract

As global supply chain risks proliferate unpredictably, the high interdependence of port and logistics industry intensifies the risk burden. This study conducted fundamental research to explore diverse safety issues in domestic ports. Utilizing news article data about Busan Port, we employed LDA topic modeling and time-series linear regression to understand key safety trends. Over the past 30 years, Busan Port faced nine major safety issues-maritime safety, import cargo inspection, labor strikes, and natural disasters emerged cyclically. Major port safety issues in Busan Port are primarily characterized by an unpredictable nature, falling under socio-environmental and natural phenomena types, indicating a significant impact of global uncertainty. Therefore, systematic policies need to be formulated based on identified port safety issues to enhance port safety in Busan Port. Additionally, there is a need to strengthen the resilience of port safety for unpredictable risk situations. In conclusion, advanced research activities are necessary to promote port safety enhancement in response to dynamically changing social conditions.

글로벌 공급망에 예측 불가능한 위험성이 확산되면서 세계의존도가 높은 항만물류산업의 위험부담이 높아지고 있다. 이에 본 연구에서는 기초적인 연구로 국내 항만의 안전성에 위험을 주는 다양한 이슈들을 알아보고자 하였다. 이를 위해 부산항의 항만안전과 관련된 뉴스 기사 데이터를 활용하여 LDA토픽모델링 분석과 시계열 선형회귀분석을 진행하였고 부산항 항만안전 주요 이슈들의 변화와 그 동향을 파악하였다. 본 연구의 분석 결과는 다음과 같다. 지난 30년동안 부산항 항만안전과 관련된 주요 이슈는 총 9개이며 이들을 5년 주기의 시기별로 살펴본 결과, 지난 30년 동안 해상안전 이슈, 수입화물 검역 안전 이슈, 노조파업 관련 이슈, 자연재해 관련 이슈가 지속해서 등장했다. 부산항 항만안전 주요 이슈는 주로 예측 불가능한 성격이 큰 사회환경적 유형과 자연현상적 유형으로 글로벌 불확실성의 영향을 많이 받고 있음을 알 수 있었다. 따라서 분석 결과로 도출된 항만안전 주요 이슈들을 위주로 부산항 항만안전 강화를 위한 정책을 체계적으로 수립할 필요가 있으며 예측 불가능한 위험상황을 대비한 부산항 항만안전 회복탄력성을 강화할 필요가 있다. 끝으로 다양하게 변화하는 사회적 여건에 맞춰 항만안전 강화를 도모할 수 있는 선진적인 연구 활동이 필요할 것이다.

Keywords

Acknowledgement

본 논문(또는 저서)는 해양수산부 제4차 해운항만물류 전문인력양성사업의 지원을 받아 수행된 연구임.

References

  1. Bang, H. S. and Moon, H. S.(2019), "A study on the methodology to express the main topics of text in time series using text mining", Journal of the Korean Data And Information Science Society, Vol. 30, No. 6, pp. 1259-1276.
  2. Bingmei, G. and Liu, J.(2023), "Port resilience analysis based on the HHM-FCM approach under COVID-19.", Ocean & Coastal Management, Vol. 243.
  3. Blei, D. M.(2012). Probabilistic topic models. Communications of the ACM, Vol. 55, No. 4, pp. 77-84.
  4. Busan Port Authoruty(2023), Container Statistics of Busan Port, pp. 1-58.
  5. Busan Reporter Team(2023), Hanjin: First Korean port company to build smart safety control system, THE KOREA MARITIME NEWS, http://www.haesanews.com/news/articleView.html?idxno=109404
  6. Corrigan, S., Kay, A., Ryan, M., Ward, M. E. and Brazil, B.(2019), "Human factors and safety culture: Challenges and opportunities for the port environment.", Safety Science , Vol. 119, pp. 252-265.
  7. Darbra, Rosa-Mari, and Joaquim Casal(2004), "Historical analysis of accidents in seaports.", Safety science, Vol. 42, Issue 2, pp. 85-98.
  8. Field, Andy, Jeremy Miles, and Zoe Field(2012), Discovering statistics using R. Vol. 3. London: Sage.
  9. Han, C. Y., Kim, W. S. and Yoon, D. K.(2021), "A Comparative Analysis of Disaster Research Trends Using Topic Modeling and Network Analysis", Journal of the Korean Society of Hazard Mitigation, Vol. 21, No. 5, pp. 77-88.
  10. Jang, E. A., Beak, Y. E. and Chung, H. W.(2023), "Emerging trends amongst adolescents from immigrant backgrounds using topic modeling and semantic network analysis", Studies on Korean Youth, Vol. 34, No. 1, pp. 91-122. https://doi.org/10.14816/SKY.2023.34.1.91
  11. Jung, W. J.(2022), Big data text analysis and applications : using NetMiner, Hakjisa Press.
  12. Kil, H. H.(2018), "The Study of Korean Stopwords list for Text mining", Urimalgeul: The Korean Language and Literature (Urimalgeul), Vol. 78, pp. 1-25.
  13. Kang, S. G., Jeon, J, Y. and Park, J. M.(2019),"Estimating the Economic Impact of Truckers' Strike on the Korean Economy using Ritz-Spaulding Input-Output Analysis", Journal of Industrial Innovation, Vol. 35, No. 2, pp. 95-124.
  14. Kim, E. J., Chang, S. G. and Lee, S. Y.(2023), "Big Data News Analysis in Healthcare Using Topic Modeling and Time Series Regression Analysis", Information Systems Review, Vol. 25, No. 3, pp. 163-177.
  15. Kim M. J.(2023), Korea Centers for Disease Control and Prevention focuses on 'corona stability and strengthening infectious disease response capabilities' in 2023 (I), Medifonews, https://www.medifonews.com/news/article.html?no=174421
  16. Korea Maritime Institute(2021), A Study on the Construction of Port Risk Management System Based on Resilience, pp. 1-2.
  17. Lam, J. and Su, S.(2015), "Disruption risks and mitigation strategies: an analysis of Asian ports.", Maritime Policy & Management, Vol. 42, Issue 5, pp. 415-435.
  18. Lee, J. M. and Kim, Y. S.(2023), "A Study on the Derivation of Port Safety Risk Factors Using by Topic Modeling", Journal of Korea Port Economic Association,Vol. 39, No. 2, pp. 59-76.
  19. Lee, J. W., Lee, H. W., Park, S. J. and Youn, D. Y.(2021), "Topic Modeling and Social Network Analysis to Explore Domestic and International Golf News Trends for Decade(2012-2021)", Journal of Golf Studies , Vol. 15, No. 4, pp. 261-278.
  20. Lee, S. G.(2018), "A Study on the Trends of Construction Safety Accident in Unstructured Text Using Topic Modeling", Journal of Korea Academia-Industrial cooperation Society, Vol. 19, No. 10, pp. 176-182.
  21. Lim, J. H., Hong, J. P., Park J. M. and Ahn, M. L.(2022), "Educational Use of Metaverse and Virtual Worlds From 2010 to 2021: An Analysis of Research Trends Using LDA-based Topic Modeling and Time Series Regression Analysis", Journal of Korean Association for Educational Information and Media, Vol. 28, No. 2, pp. 187-214.
  22. Liu, J., Wu, J. J. and Yu, G.(2023), "Maritime supply chain resilience: From concept to practice.", Computers & Industrial Engineering, Vol. 182.
  23. Mankowska, M., Plucinski, M., Kotowska, I. and D, L. F.(2021), "Seaports during the COVID-19 pandemic: the terminal operators' tactical responses to disruptions in Maritime supply chains.", Energies, 14(14):4339.
  24. Min, J. Y.(2022), Smart Maintenance Technology for Port Infrastructure, Korea Institute of Civil Engineering and Building Technology, KICTzine Vol. 2, pp. 30-35.
  25. Ministry of Oceans and Fisheries(2021),Smart Maritime Logistics Expansion Strategy, pp. 1-19.
  26. Ministry of Oceans and Fisheries et al(2023), Master Plan for Ocean and Fisheries Development, pp. 1-341.
  27. Park, J. S., Hong, S. G. and Kim, J. W.(2017), "A Study on Science Technology Trend and Prediction Using Topic Modeling", Journal of Korea Society of Industrial Information Systems, Vol. 22, No. 4, pp. 19-28.
  28. Rha, J. S.(2022), "Analysis of Factors Affecting Surge in Container Shipping Rates in the Era of Covid19 Using Text Analysis", Journal of the Korea Industrial Information Systems Research, Vol. 27, No. 1, pp. 111-123.
  29. Rosner, F., Hinneburg, A., Roder, M., Nettling, M. and Both, A.(2013) "Evaluating topic coherence measures", Conference: Neural Information Processing Systems Foundation.
  30. Shin I. S. (2023), Advanced smart port technology in danger of being abandoned, THE KOREA MARITIME NEWS, https://www.klnews.co.kr/news/articleView.html?idxno=306639
  31. Verschuur, J., Koks, E. E. and Hall, J. W.(2020), "Port disruptions due to natural disasters: Insights into port and logistics resilience.", Transportation research part D: transport and environment Vol. 85.
  32. Yang, Y. H.(2021), "Analysis on Types and Trends of Public Conflicts using Topic Modeling", Korea Research Institute for Local Administration, Vol. 35, No. 2, pp. 159-188.