DOI QR코드

DOI QR Code

The Case Study of CCTV Priority Installation Using BigData Standard Analysis Model

빅데이터 표준분석모델을 활용한 CCTV우선 설치지역 도출 사례연구

  • Sung, Chang Soo (Dept. of Technology Entrepreneurship, Dongguk University) ;
  • Park, Joo Y. (School of Business, Yonsei University) ;
  • Ka, Hoi Kwang (Public Information Policy, Ministry of the Interior)
  • 성창수 (동국대학교 기술창업학과(대학원)) ;
  • 박주연 (연세대학교 경영학과) ;
  • 가회광 (행정자치부 공공정보정책과)
  • Received : 2017.03.24
  • Accepted : 2017.05.20
  • Published : 2017.05.28

Abstract

This study aims to investigate the public big data standard analysis model developed by Ministry of the Interior and examine its accuracy and reliability of prediction. To do this, big data standard analysis index were calculated to apply them to the real world case of CCTV monitoring system prior installation in K city. The result of this case study revealed that the areas to be installed CCTV consisted with the area where residences requested and complained to install CCTV monitoring systems, which indicated that the result of big data standard analysis model provided accurate and reliable outcomes. The result of this study suggested implications on effective exploitation of big data analysis.

본 논문에서는 공공기관의 빅데이터를 활용한 표준분석모델을 살펴보고, 실제 사례현장의 분석결과를 통해 빅데이터 표준분석모델의 적합성과 효과성을 확인하고자 한다. 특히 행정효율성을 향상시킬 수 있는 분야인 민원, CCTV 등의 빅데이터에 대한 표준분석모델을 대상으로 하였다. 이를 위해 빅데이터 표준분석 지표를 산출하고 K시의 CCTV우선설치지역 사례에 적용하여 빅데이터 표준분석모델의 정확성을 조사하였다. 빅데이터 표준분석 모델을 활용한 K시의 사례분석 결과, 우선 설치리스트 상위 지점 모두 범죄취약지수 중 환경지수 값이 전반적으로 낮게 나온 반면, CCTV미설치 지역에 따른 감시취약지수와 야간 및 심야 시간대의 유동인구 지수가 높게 나타났다. 이는 실제로 CCTV설치에 대한 민원이 높고 그 필요성을 인지하고 있는 지역으로 빅 데이터 분석결과가 높은 정확성을 나타내고 있음을 확인할 수 있다. 이러한 연구결과는 빅데이터 활용과 분석에 의한 행정 효율성의 제고 및 디지털 융합 환경에서 빅데이터 표준분석 모델의 의미있는 시사점을 제시하고 있다.

Keywords

References

  1. Forth Industrial Revolution, Big data marketing, http://glamstone.net/220855312522 (Nov. 2016)
  2. Tae-Young Kim, Yong-Kim, Hyo-Jung Oh, "An Analysis of the Relationship between Public Opinion on Social Bigdata and Results after Implementation of Public Policies: A Case Study in 'Welfare' Policy," Journal of Digital Convergence. Vol. 15, No. 3, pp. 17-25. 2017. https://doi.org/10.14400/JDC.2017.15.3.17
  3. KeunWon Kim, DongWoo Kim, Kyoo-Sung Noh, Joo-Yeoun Lee, “An Exploratory Study on Improvement Method of the Subway Congestion Based Big Data Convergence,” Journal of Digital Convergence, Vol. 13, No. 2, pp. 35-42, 2015. https://doi.org/10.14400/JDC.2015.13.2.35
  4. M. Chen, S. Mao, Y. Ahang, V. Leung, Big Data: Related Technologies, Challenges and Future Prospects, Cham: Springer, 2014.
  5. A. T. Hashem, I. Yaqoob, N. Anuar, S. Mokhtar, A. Gani, S. U. Khan, "The Rise of Big Data on Cloud Computing: Review and Open Research Issues," Information Systems, No. 47, pp. 98-115, 2015. https://doi.org/10.1016/j.is.2014.07.006
  6. J. Manyika, Big Data: the Net Frontier for Innovation, Competition and Productivity, McKinsey Global Institute, 2011.
  7. M. Chen, S. Mao, Y. Liu, "Big Data: A Survey," Mobile Net Appl, No. 19, pp. 171-209, 2014.
  8. Editorial,"Big Data Management: New Frontiers, New Paradigms," Information Systems, Vol. 63, pp. 63-65, 2017. https://doi.org/10.1016/j.is.2016.07.002
  9. B. Aaqaibeh, I. Obaidat, W .Hussien, “Big Data Analysis Techniques using Multi-GPUs Map Reduce Implementations,” International Journal of Advanced Studies in Computer Science and Engineering, Vol. 5, No. 11, pp. 1-6, 2016.
  10. Ministry of the Interior, Development of Public Big-Data Standard Analysis Model, Risk Management, http://www.di-focus.com/news/articleView.html?idxno=17411(December, 2016)
  11. Seong-Hoon Lee, Dong-Woo Lee, "Current Status of Big Data Utilization," Journal of Digital Convergence, Vol. 11, No. 2, pp. 229-233. 2013. https://doi.org/10.14400/JDPM.2013.11.12.229
  12. Boannews, Enhancing social life, security and welfare through bigdata, http://www.boannews.com/media/view.asp?idx=53257&kind=2 (Jan. 2017)
  13. N. M., Joyce, C. H. Ramsey, and J. K. Stewart, “Commentary on Smart Policing,” Police Quarterly, Vol. 16, No. 3, pp. 358-368, 2013. https://doi.org/10.1177/1098611113497043
  14. Y. S. Kim, “Information and Communications Technology in the Field of Public Security: Crime Prevention and Response System,” Convergent Security Journal, Vol. 16, No. 6, pp. 23-32, 2016.
  15. Young-mi Kim, “The Study on Local Government’s Disaster Safety Governance using Big Data,” Journal of Digital Convergence, Vol. 15, No. 1, pp. 61-67, 2017. https://doi.org/10.14400/JDC.2017.15.1.61
  16. W. L. Sung, S. S. Chen, M. E. Yun, H .R. Lee, “The Effect of Alcohol On premises Densities on Corresponding Local Criminal Rates in Seoul,” Public Health Association, Vol. 41, No. 4, pp. 75-86, 2015.
  17. S. W. Lee, J. G. Cho, "The Effect of Spatial and Environmental factors on Crime," Victimization, Journal of Seoul City Research, Vol. 7, No. 2, pp. 57-76, 2006.
  18. Sang H. Cho, Min Jae Kim, "First step for Public Big Data Analysis Explosion," National Information Society Agency, 2016.
  19. Min-Gu Song, Sun-Bae Kim, “A Study of improving reliability on prediction model by analyzing method Big data,” Journal of Digital Convergence, Vol. 11, No. 6, pp. 103-112, 2013. https://doi.org/10.14400/JDPM.2013.11.6.103
  20. M-J. Choi, K-S. Noh, “Exploratory Study on Crime Prevention based on Bigdata Convergence,” Journal of Digital Convergence, Vol. 14, No. 11, pp. 125-133, 2016. https://doi.org/10.14400/JDC.2016.14.11.125
  21. Ministry of Trade, Industry and Energy, Social Protection Service Design for Sexual Crime Prevention, Report, 2016.
  22. O. K. Shin, The Development of Crime Risk Assessment Tool and Its Application(III)-with Focus on Sexual Violence and School Violence, Report, Korean Institute of Criminology. 2014.
  23. Y .H. Kim, J .M. Moon, D. G.J ang, “Study on the Distribution of Crime in Urban Space-Gwangju Metropolitan City from the Perspective of the Environmental Criminology,” Journal of Korea Society of Computer Information, Vol. 12, No. 5, pp. 235-241, 2007.
  24. D. S. Lee, K .H. Lee, “A Study on the Relationship Between Crime Rates and Characteristics of Urban Areas: Focusing on Demographic and Socio-Economic Factors,” Journal of Korean Association for Local Government Studies, Vol. 11, No. 1, pp. 189-206, 2009.
  25. Y. S. Choi, S. J. Kang, M. S. Kim, and I. S. Kim, "A Study on the Foreign Crimes in Ethnic Places in South Korea," Korea Institute of Criminology, 12-AA-09, 2012.
  26. Y. S. Kang, Jin Woo Park, "Report of CCTV installation region_Due Diligence," National Information Society Agency(NIA), Nov. 25 pp. 1-46, 2016.
  27. M. G. Song, S. B. Kim, “A Study of Improving Reliability on Prediction Model by Analyzing Method Big data,” The Journal of Digital Policy & Management, Vol. 11, No. 6, pp. 103-112, 2013.
  28. J. Fan, F. Han, H. Liu, "Challenges of Big Data analysis," National Science Review, Vol. 1, pp. 293-314, 2014. https://doi.org/10.1093/nsr/nwt032
  29. Mi-Ok Kim, Jin-Soo Ko, Seung-Chul Noh, Jae-Hoon Chung, “A Study of the Vitalization Strategy for Public Sports Facility through Big-Data,” Journal of Digital Convergence, Vol. 15, No. 2, pp. 527-535, 2017. https://doi.org/10.14400/JDC.2017.15.2.527