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A Study on Perception for Public Safety of Seoul Citizens using Multiple Regression Analysis

다중회귀분석을 이용한 서울시민 체감안전도에 관한 연구

  • 어수균 (한국산업기술대학교 컴퓨터공학과) ;
  • 조성훈 (한국산업기술대학교 컴퓨터공학과) ;
  • 김정준 (한국산업기술대학교 컴퓨터공학과) ;
  • 김영곤 (한국산업기술대학교 컴퓨터공학과)
  • Received : 2017.02.21
  • Accepted : 2018.02.09
  • Published : 2018.02.28

Abstract

The government and the police are trying to expand the safety of the people by spreading "four major social evil erasures" intensively crackdown and prevention activities of sexual assault, school violence, domestic violence, and bad foods for the main purpose of security activities I made an effort. However, in spite of such efforts, the public's feelings of social unrest and the concern about security have not been significantly improved. Therefore, in this paper, using R which is the tool for analyzing big data which is most widely used in each field such as enterprise, consulting, public field, etc., R Using variables measured at each level, we analyzed by analyzing multiple regression analyzes, and confirmed what kind of correlation there is in relation to the direction affecting policy improvement I will try to present it.

정부와 경찰은 '4대 사회악 근절'을 치안활동의 핵심목표로 성폭력, 학교폭력, 가정폭력, 불량식품에 대한 집중적인 단속과 예방활동을 펼치며 국민안전 향상을 위해 노력하였다. 그러나 이와 같은 노력에도 불구하고 국민들이 느끼는 사회불안감과 치안에 대한 불안감은 크게 개선되지 않은 것으로 보인다. 따라서 본 논문은 최근 기업, 컨설팅, 공공분야 등 각 분야에서 가장 많이 활용하고 있는 빅데이터 분석용 툴인 R을 이용하여 서울지역을 중심으로 주민들의 체감안전도에 영향을 미치는 변수에 대해 각각의 수준에서 측정된 자료를 통해 다중회귀분석을 활용하여 분석하고, 어떠한 상관관계가 있는지를 확인하여 정책적 개선 방향에 대해서 제시하고자 한다.

Keywords

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