All Issue

2024 Vol.20, Issue 3 Preview Page

Original Article

A Study on the Legal Application of Big Data and AI for Strengthening the Safety of Local Festivals

지역축제 안전성 강화를 위한 빅데이터와 AI의 법적 적용 방안에 관한 연구

박정섭*

Jung Sub Park*

Lecturer, Department of Police Administration, Yong-In University, Yongin, Republic of Korea
30 September 2024. pp. 635-643
PDF Citation
Abstract
Purpose: This study is to seek the introduction of big data and AI technologies to strengthen the safety of local festivals, and to present legal application measures to effectively realize them. Method: diagnose the current status of the legal system related to the safety of local festivals through literature review, case analysis, and examination of legal systems, and to propose safety management measures based on big data and AI, as well as related legal improvement measures that can effectively support these initiatives. Result: Local festival safety-related laws have different purposes and regulations, and it has been confirmed that there are many difficulties for organizers to comply and apply them in an integrated manner. In particular, a clear legal basis is required for the introduction of big data and AI technologies, and it is important to establish a consistent safety management operating system through an integrated legal system. Conclusion: In order to introduce big data and AI technologies to local festivals and enhance safety, the following legal improvements are necessary: first, the establishment of an integrated legal system; second, the mandatory allocation of safety management costs; and third, the establishment and operation of an integrated control center.
Keywords
Big Data
AI
Local Festivals
Mass Gathering Events
International Events
연구목적: 본 연구는 지역축제의 안전성을 강화하기 위해 빅데이터와 AI 기술 도입을 모색하고, 이를 효과적으로 실현할 수 있는 법적 적용 방안을 제시하는 것을 목적으로 한다. 연구방법: 문헌 연구, 사례 분석, 법령 체계 검토를 통해 지역축제 안전 관련 법 체계의 현황을 진단하고, 빅데이터와 AI 기반의 안전관리 방안을 지원할 수 있는 법적 개선 방안을 제안했다. 연구결과: 지역축제 안전 관련 법률들은 각각의 목적과 규정이 상이하여 주최 측이 이를 통합적으로 준수하고 적용하기에 많은 어려움이 있음을 확인했다. 특히, 빅데이터와 AI 기술 도입을 위해서는 명확한 법적 근거가 필요하며, 통합된 법률 체계를 통해 일관된 안전관리 운영체계를 확립하는 것이 중요하다. 결론: 지역축제에 빅데이터와 AI 기술을 도입하여 안전성을 강화하기 위해서는 첫째, 통합적 법률 체계의 구축, 둘째, 안전관리비 책정의 의무화, 셋째, 현장 통합관제센터의 구축 및 운영 등 관련 법 제도의 개선이 필요하다.
키워드
빅데이터
인공지능(AI)
지역축제
다중운집행사
국제행사
References
  1. Bae, J.-H., Lee, S.-L. (2022). "Problems and future tasks of safety management for large crowd events." NARS Current Issues and Analysis, Vol. 268. pp. 1-24.
  2. Choi, K.-S. (2018). A Legal Study on the Improvement of Performance Safety Management System. Ph.D. Dissertation, Dong-A University.
  3. Chosun Media (2023.10.13). "AI detects crowds to prevent a second halloween incident." https://www.chosun.com/national/national_general/2023/10/12/LZQNSNFBJRCABMYPVEPNNGSYJE/
  4. Dalvinder, S.-G. (2014). "A critical conceptual analysis of definitions of artificial intelligence as applicable to computer engineering." IOSR Journal of Computer Engineering, Vol. 16, No. 2, pp. 9-13.10.9790/0661-16210913
  5. Edaily (2023.6.2). "KT launches 'Big data service' to support local festivals." https://m.edaily.co.kr/news/read?newsId=02292726635637784&mediaCodeNo=257
  6. Hong, M.-H. (2014). "Element technology for big data analysis." Proceedings of the Fall Academic Conference of the Korea Academia-Industrial Cooperation Society, pp. 394-395.
  7. Jacobs, A. (2009). "The pathologies of big data." Communications of the ACM, Vol. 52, No. 8, pp. 36-44.10.1145/1536616.1536632
  8. Kim, D.-H., Jo, B.-W. (2021). "A study on the development of a fire site risk prediction model based on initial information using big data analysis." Journal of the Society of Disaster Information, Vol. 17, No. 2, pp. 245-253.
  9. Kim, H.-J., Ahn, T.-K. (2017). Integrated Planning of Event Festivals. Daewangsa Temple, pp. 103-104.
  10. Kim, S.-Y. (2023). Results of the Safety Status Survey of Local Festival Venues, Life Safety Team, Safety Surveillance Bureau. Korea Consumer Agency.
  11. Korean National Police Agency (2014). Safety Management Manual for Large Crowd Events.
  12. Kyunghyang Shinmun (2022.11.3). "There is already enough real-time city data...Korea can't use it for 'crowd management." https://www.khan.co.kr/national/national-general/article/202211032049015
  13. Laney, D. (2001). 3D Data Management: Controlling Data Volume, Velocity, and Variety. Technical Report, META Group. CA, USA.
  14. Loukides, M. (2010). "What is data science?" O'Reily Radar, http://radar.oreilly.com/2010/06/what-is-data-science.html
  15. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H. (2011). Big Data: The next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute, p. 156.
  16. Ministry of the Interior and Safety (2023.10.25). "Comprehensive measures for the reform of the national safety system' have been implemented in this manner" https://www.mois.go.kr/frt/bbs/type010/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000008&nttId=104387
  17. Ministry of the Interior and Safety (2023.12.27). "Thoroughly manage large crowds using the Crowd Management SupportSystem." https://www.mois.go.kr/frt/bbs/type010/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000008&nttId=106067
  18. Na, C.-J., Park, K.-D., Kim, H.-H., Kim, J.-H. (2014). A Study on the Improvement Measures for Disaster and Safety-Related Legislation, Korea Legislation Research Institute, pp. 201-202.
  19. Park, J.-S. (2020). Improvement Plan for Legal System to Strengthen the Safety of International Events. Ph.D. Dissertation, Dongguk University.
  20. Park, J.-S. (2023). "Legal improvement plans for effective use of private security in a multi-gathering event." Korean Security Journal, Vol. 76, pp. 171-194.10.36623/KSSR.2023.76.8
  21. Park, J.-S. (2024). "Enhancing local festival safety through big data and artificial intelligence." Korean Security Journal, Vol. 79, pp. 173-195.10.36623/KSMA.2024.79.9
  22. Park, N.-K. (2024). "A study on the improvement plan for reducing the risk of crowed event." Journal of the Society of Disaster Information, Vol. 20, No. 2, pp. 379-389.
  23. Rajaraman, V. (2014). "John McCarthy: Father of artificial intelligence." Resonance Journal of Science Education, Vol. 19, No. 3, pp. 198-207.10.1007/s12045-014-0027-9
  24. Safety Times (2023.6.7). "Install 100 AI cameras in Shibuya, Japan, to prevent disasters." https://www.safetimes.co.kr/news/articleView.html?idxno=204948
  25. Telecommunications Technology Association (2024). ICT Standardization Strategy. pp. 1-108.
  26. Yang, J.-J., Cheng, X.-Z., Chao, K., Wang, Y.-Y., Xu, L., Gao, J. (2019). "An insight scheme for large-scale events based on telecom operators data." 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS), Shenyang, China, pp. 626-631.10.1109/IUCC/DSCI/SmartCNS.2019.00131
  27. Yeo, S.-S., Park, J.-J., Wang, S-Y. (2022). "A study on the spatial information-based video surveillance system for the efficient operation of CCTV." Korean Security Journal, Vol. 73, pp. 231-253.10.36623/KSSR.2022.73.11
  28. Yonhap News (2023.10.24). "When Crowds Gather at Gangnam Station, AI Guides 'Detour'… First Installation of Density Display Board." https://www.yna.co.kr/view/AKR20231024023100004
  29. Yoon, S.-Y., Kim, M.-Y. (2023). Suggestions for Effective Safety Management of Large-Scale Local Festivals and Events. Korea Research Institute for Local Administration, Gangwon Province.
Information
  • Publisher :The Korean Society of Disaster Information
  • Publisher(Ko) :한국재난정보학회
  • Journal Title :Journal of the Society of Disaster Information
  • Journal Title(Ko) :한국재난정보학회논문집
  • Volume : 20
  • No :3
  • Pages :635-643
  • DOI :https://doi.org/10.15683/kosdi.2024.9.30.635
Journal Informaiton Journal of the Society of Disaster Information Journal of the Society of Disaster Information
  • NRF
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close