Proposal Study on Public Data-Centered Crime Prevention Through Environmental Design (CPTED) in Seoul City Utilizing Classical Music Song Ji-Heon1, Kim Sung-Jun2,* 1Student, Dept. of Bigdata Industry Security, The Graduate School of Namseoul University, Korea 2Assistant Professor, Dept. of Bigdata Industry Security, The Graduate School of Namseoul University, Korea *Corresponding Author: Sung-Jun Kim, Professor, Bigdata Industry Security, The Graduate School of Namseoul University, Korea. Email: jun1977@nsu.ac.kr
Online published on 2 February, 2019. Abstract Violent crimes have increased continuously due to the development of urban society and have become a threatening factor against the residential safety of citizens. The prevention of these crimes is always a major topic in human society and one of the fundamental elements of the quality of life and safety of citizens. In recent years, much attention has been paid to environmental design through the Crime Prevention Through Environmental Design (CPTED) as a preventive measure. Currently, South Korea is promoting the openness and utilization of public data, and crime prevention is one of the fields that can utilize public data actively. This approach to crime prevention utilizing public data will be helpful for the proposal of policies from new viewpoints departing from the general utilization measures of CPTED that improve streetlights and closed-circuit television (CCTV) installations, whose limitations have been pointed out as they are only mechanical surveillance. Thus, this study sets the research scope based on the statistics of the status of five criminal offenses by administrative district in recent years provided by the data portal in Seoul City, the capital of South Korea, as the utilization data and concentrates on the analysis. Based on the analysis results, this study proposes a method to utilize classical music as a new policy for regions where the improvements are most needed. The open-source Python analysis program was employed as the main data analysis and visualization method. Top Keywords CPTED, Public Data, Data Analysis, Classical music, Python. Top |