Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Crime risk implementation for safe return service

안심귀가 구현을 위한 범죄위험도 산출

  • Park, Mi Ri (Department of MIS, ChungBuk national University) ;
  • Kim, Yu Sin (Department of MIS, ChungBuk national University) ;
  • Choi, Sang Hyun (Department of MIS, ChungBuk national University)
  • 박미리 (충북대학교 경영정보학과, BK21+BSO사업팀) ;
  • 김유신 (충북대학교 경영정보학과, BK21+BSO사업팀) ;
  • 최상현 (충북대학교 경영정보학과, BK21+BSO사업팀)
  • Received : 2015.08.05
  • Accepted : 2015.09.24
  • Published : 2015.09.30
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Abstract

Rapid social and economic growth has brought positive results. At the same time, due to the increase in crime, crime prevention is important. There are many papers that analyze crime trends and crime type. Based on this, there are studies to ensure the safety of people. The study calculated the risk for the crime. it is necessary to exert a great effect on crime prevention alternatives. This paper uses crime data provided from San Francisco and victims data provided from FBI. And, it proposes the crime risk calculation. By analyzing the type of user, risk degree is given different weights according to the user, and assess the risk of crime.

급격한 사회 경제적인 성장은 긍정적인 결과를 가져왔지만 동시에 꾸준히 증가하는 범죄로 인하여 안전한 귀가에 대한 관심이 증가하였다. 범죄 동향 및 범죄 유형을 분석하고 이를 토대로 시민들의 안전을 보장하기 위한 연구가 진행되고 있다. 범죄 예방을 위한 대안이 큰 효과를 발휘하기 위해서 범죄위험도 산출에 대한 연구가 필요하다. 따라서 본 논문은 샌프란시스코 주정부에서 제공하는 범죄 데이터와 FBI (Federal Bureau of Investigation)의 피해자 데이터를 사용하여 범죄 위험도 계산식을 제안하고자 한다. 남자, 여자, 노인, 미성년자 등의 사용자 유형별로 범죄 유형을 분석하여 사용자에 따라 다른 가중치를 부여하고, 범죄 위험도를 계산하였다. 최종적으로 계산된 범죄 위험도에 따라 사용자 유형별로 다른 경로를 제안하게 된다.

Keywords

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