KSCE Journal of Civil Engineering

, Volume 23, Issue 1, pp 376–387 | Cite as

A Study on Improving the Location of CCTV Cameras for Crime Prevention through an Analysis of Population Movement Patterns using Mobile Big Data

  • Jae Yong Lee
  • Ki Dae Kim
  • Kirl KimEmail author
Surveying and Geo-Spatial Information Engineering


As Koreans’ interest in safety and security increases and the desire to live a life without fear of crime grows, the building of safe cities has become a national priority. To effectively prevent urban crime, it is necessary to comprehensively consider the daily living patterns of urban residents and the geographic characteristics of each area. However, Korea’s crime prevention policies have often been determined based on the preferences of policy makers and the demands of residents, without consideration of accurate data. In addition, most preceding research on crime has focused on the distribution of crime based on administrative neighborhoods. There have been few studies that linked analysis on population flow patterns using mobile big data and safety vulnerable zones. Therefore, this study intends to investigate the problems with the location of Closed Circuit Television (CCTV) cameras, a representative defense mechanism in the CPTED (Crime Prevention Through Environmental Design) strategy, and suggests improvement measures based on the findings of analyses on the relationship between mobile big data-based population flow patterns and safety vulnerable zones. It also aims to suggest directions for building successful smart safe cities in the future based on the study results.


crime safe city mobile big data population movement pattern CCTV 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Cho, Y. I. (2010). A study on the increasing plan of the crime control effectiveness of the Closed Circuit TV (CCTV) for the crime prevention, MSc Thesis, Hansei University, Gunpo, Korea.Google Scholar
  2. City A. (2014). Yearly book on statistics. Gyeonggi, Korea.Google Scholar
  3. Cohen, L. E. and Felson, M. (1979). “Social change and crime rate trends: A routine approach.” American Sociological Review, Vol. 44, pp. 588–608, DOI: 10.2307/2094588.CrossRefGoogle Scholar
  4. Goh, J. H. (2009). The spatial characteristics in crime and its fear, PhD Dissertation, Korea National University of Education, Seoul, Korea. Gyeonggido Data Dream, Scholar
  5. Jacobs, J. (1961). The death and life of great american cities, Vintage Books, New York, N.Y.Google Scholar
  6. Jang, H, Y., Kim, K., and Lee, J. Y. (2014). “A study on the improvement of CCTV location for crime prevention by citizens’ daily activity pattern.” Journal of the Korean Urban Geographical Society, Vol. 17, No. 1, pp.101–112.Google Scholar
  7. Jeffry, C. R. (1977). Crime prevention through environmental design (2nd edition), Sage Publications, Beverly Hills, C.A.Google Scholar
  8. Jeon, Y. H. and Park, Y. H. (2008). “A case study of the city of dallas, texas: neighborhood effects and spatial patterns in urban crime.” Journal of the Korean Geographical Society, Vol. 11, No. 1, pp. 85–99.Google Scholar
  9. Jeong, S. Y. (2008). An analysis on the spatial pattern and influencing factors of urban crime using GIS and spatial statistics, MSc Thesis. Seoul National University, Seoul, Korea.Google Scholar
  10. Jeong, G. S. (2010). The spatio-temporal patterns of urban crime and its influencing factors using integrated model of spatial crime analysis, PhD Dissertation. Gyeongsang National University, Jinju, Korea.Google Scholar
  11. Jeong, S. J. (2011). “A study on activation plan of volunteer patrol activities for community crime prevention.” The Korean Association of Police Science Review, Vol. 29, pp. 103–122.Google Scholar
  12. Jeong, J. S. and Hwang, E. G. (2012). “A study on the crime prevention effect of CCTV -Focusing on the basic district areas of Cheonan and Asan Cities.” Korean Academy of Public Safety and Criminal Justice, Vol. 46, pp. 183–209.Google Scholar
  13. Jeong, G. S., Moon, T. H., Jeong, J. H., and Hur, S. Y. (2009). “Analysis of spatio-temporal pattern of urban crime and its influencing factors.” Journal of the Korean Association of Geographic Information Studies, Vol. 12, No. 1, pp. 12–25.Google Scholar
  14. Kim, Y. S. (2008). “An analysis for crime prevention effects of closed circuit TVs.” Journal of The Korean Society of Private Security, Vol. 11, pp. 209–245.Google Scholar
  15. Kim, G, E., Hong, H. C., and Choi, Y. G. (2013). “An analysis of information collection networking for namyangju U-City: A case study on the CCTV.” Journal of the Korean Urban Geographical Society, Vol. 16, No. 2, pp. 63–72.CrossRefGoogle Scholar
  16. Kim, K., Kang, H., and Lee, J. (2012). A study on safe city management strategy based on spatial and temporal simulation analyses of crime, KRIHS, Gyeonggi, Korea.Google Scholar
  17. Kim, K. and Kim, B. S. (2009). “A case study on spatial and temporal distribution patterns of crime by land use.” Journal of the Korean Urban Geographical Society, Vol. 12, No. 3, pp. 83–96.Google Scholar
  18. Kim, D. S., Kim, D. M., and Park, J. G. (2010). “Determination of CCTV optimal location using GIS spatial analysis.” Proc. the Korean Geographical Spatial Information Society Conference, Seoul, Korea, pp. 119–120.Google Scholar
  19. Kim, K. and Shin, D. B. (2014). “The strategies on safe city making through hotspot analyses on crime.” KSCE Journal of Civil Engineering, KSCE, Vol. 18, No. 5, pp. 1511–1517, DOI: 10.1007/s12205-014-0272-1.CrossRefGoogle Scholar
  20. Kwak, Y. G. and Oh, S. Y. (2008). “Research on crime prevention based on the relationship between regional characteristics of cities and crimes.” Korea Police Studies Association, Vol. 7, No. 2, pp. 65–92.Google Scholar
  21. Lee, S. W. (2009). “Diagnosis program development for street and houses CCTV Installment.” The Journal of the Korea Contents Association, Vol. 9, No. 11, pp. 325–334.CrossRefGoogle Scholar
  22. Lee, S. G. (2014). Government 3.0 based national safety net policy of the ministry of land, infrastructure and transport, Korea Ubiquitous City Association, Seoul, Korea.Google Scholar
  23. Lee, J. Y. and Kim, K. (2013). The construction method of smart safe city for crime prevention. KRIHS, Gyeonggi, Korea.Google Scholar
  24. Lee, J. Y. and Kwan, M. (2011). “Visualisation of socio-spatial isolation based on human activity patterns and social networks in space-time.” Tijdschrift voor Economische en Sociale Geografie, Vol. 102, No. 4, pp. 385–498.CrossRefGoogle Scholar
  25. Lee, S. W. and Park, Y. G. (2006). “A study on the revitalization of security CCTV management.” The Korean Association of Police Science Review, Vol. 12, pp. 195–217.Google Scholar
  26. Shin, W. R. (2005). The analysis of spatio-temporal pattern for urban crime: Using GIS methodology, MSc Thesis, Kyunghee University, Seoul, KoreaGoogle Scholar
  27. Yim, C. Y. (2006). A study on the problems in security CCTV application and Improvement measures, MSc Thesis. Yonsei University, Seoul, Korea.Google Scholar
  28. Yim, J. M. (2013). A study on the current state of security CCTV operation and improvement directions: Focusing on Jeollabuk-do’s urban areas, MSc Thesis. Chonbuk National University, Jeonju, Korea.Google Scholar
  29. Yim, M. H. and Hong, J. H. (2008). “Directions of crime prevention policy through the analysis of crime prevention effects of CCTV.” Korean Association for Policy Sciences, Vol. 12, No. 4, pp. 77–101.Google Scholar
  30. Yoon W. S., Lee, C. H., and Shim, H. S. (2017). “Study about current condition of operating CCTV and suggestion of a guideline for installation place.” Korea Private Security Review, Vol. 16, No. 1, pp. 109–144.Google Scholar
  31. You, H. J., Park, E. G., and Ha, M. G. (2010). “A study on environmental designs for a safe campus from crimes - Based on the collegian’s perceptions of on-campus crimes and fear of crimes.” Journal of the Architectural Institute of Korea, Vol. 26, No. 8, pp. 97–106.Google Scholar

Copyright information

© Korean Society of Civil Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Smart & Green City Research CenterKorea Research Institute for Human SettlementsSejongKorea
  2. 2.Public Transport DivisionMinistry of Land, Infrastructure, and TransportSejongKorea
  3. 3.Dept. of Geography EducationKorea National University of EducationCheongjuKorea

Personalised recommendations