Browse > Article
http://dx.doi.org/10.12815/kits.2018.17.4.124

The Research on Location Monitoring Device using Exploratory Spatial Data Analysis  

Kim, Joo Hwan (DONGHAE Engineering& Consultant Co.,Ltd.)
Nam, Doohee (School of Social Science, Hansung University)
Jung, Jum Lae (DONGHAE Engineering& Consultant Co.,Ltd.)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.17, no.4, 2018 , pp. 124-137 More about this Journal
Abstract
The main purpose of this study is to find the hotspots of crimes that occur frequently in the space and to derive the appropriate CCTV installation location. One of the characteristics of crime is clustered around past occurrence area, and these crimes are strongly correlated. It is also possible to find the cause of the clusters and the variables that affect the crime through the history of the crime. In addition to the traditional OLS model, spatial differential model including spatial autocorrelation and spatial error model were used to select the variables influencing the five major crime rate, the theft rate and the foreign resident rate. The variables affecting the Five major crimes were positive (+) sign for the welfare and the rate of the bar cluster rate, and negative (-) for the street density. The CCTV area occupies 46% of the hotspots based on the overlapping of the areas where the elderly people are crowded, the bar cluster, many multicultural families, and the areas with low density of street lamps. It turned out. Taking into account the current CCTV operation, the total number of new cases to cover the risk point was 89.
Keywords
CCTV Location; Exploratory Spatial Data; Spatial Dependency; Preventive Data; Spatial Autocorrelation successive Interference Cancellation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Alberto R. Gonzales Regina B. Schofield Sarah V. Hart. Mapping Crime : Understanding Hot Spots, Maps: mapping &analysis for public safety, National Institute of Justice www.ojp.usdoj.gov/nij.
2 Armitage R., Smyth G., Pease K. and Burnley(1999), "CCTV evaluation, Surveillance of public space : CCTV, street lighting and crime prevention," vol. 225, no. 10, pp.225-249.
3 Baik S. I.(2011), A Study on the Physical Characteristics of the Neighborhood Affecting Crime Occurrence, Yonsei Univ.
4 Bowers K. J. and Johnson S. D.(2003), "Measuring the Geographical Displacement and Diffusion of Benefit Effects of Crime Prevention Activity," Journal of Quantitative Criminology, vol. 19, no. 3, pp.275-301.   DOI
5 Brown B.(1995), CCTV in town centres : three case studies, London : Home Office Police Research Group.
6 Chang S. W.(2010), A Study on the Crime Prevention Effectiveness of CCTV, Seoul National Univ.
7 Chung S. Y.(2008), Analysis of spatial patterns and influencing factors of urban crime using GIS and spatial statistics, Seoul National Univ.
8 Farrington D. P., Bennett T. H. and Welsh B. C.(2007), "The Cambridge evaluation of the effects of CCTV on crime".
9 In Farrel G., Bowers K., Johnson S., Townsley M.(2007), Imagination for crime prevention : Essays in honor of Ken Pease, Monsey, NY : Criminal Justice Press.
10 Jung K. S.(2009), "Spatial Urban Crime Patterns and Crime Factors Analysis Using GIS and Spatial Statistical Techniques," Journal of the Korean Geographical Society, vol. 12, no. 1, PP12-25.
11 Jung K. S.(2010), Analysis of spatial and temporal distribution characteristics and influential factors of urban crime using integrated spatial crime analysis model, Gyeongsang Univ.
12 Kim H. K.(2013), A Study on CCTV Site Selection for Security - Busan Metropolitan City -, Pusan National Univ.
13 Kim J. H.(2014), The Research on Location Monitoring of CCTV Device using Criminal Identification Spatial Data Analysis, Graduate school of Hansung Univ.
14 Lee H. Y. and No S. C.(2013), Advanced Statistical Analysis, Moon-U-Sa.
15 Lee H. Y. and Sim J.(2011), GIS Geoinformatics, Bub-Moon-Sa.
16 Lee M. J.(2014), Spatial analysis and location modeling of CCTV distribution for security crime in Ansan city, Graduate School of Korea Univ.
17 Lee S. C.(2010), The Impact of CCTV Perception and Local Environmental Factors on Crime Fear, Dongguk Univ.
18 Lee S. W.(2004), Urban Planning Implications of Crime in Seoul, Seoul municipal research institute.
19 Lee S. W.(2009), "A Study on the Development of a Diagnostic Program for CCTV Installation," Journal of the Korea Contents Association, vol. 9, no. 11, pp.326-334.   DOI
20 Luc A.(2005), Exploring Spatial Data with GeoDa : A Workbook, Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign Urbana, IL 61801.
21 Ned L. and Associates(2013), CrimeStat IV, A Spatial Statistics Program for the Analysis of Crime Incident Locations, The National Institute of Justice Washington, DC : Houston, TX.
22 Park J. S.(2011), A Study on Police and Residents' Perception of CCTV Operation, Dongguk Univ.
23 Shin U.(2005), A study on the temporal and spatial patterns of crime using GIS, Kyung Hee Univ.
24 Yoon Y. J.(2007), A Study on the Spatial Characteristic Analysis of Crime-stricken Area Using GIS, Seoul National Univ.