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    A Study on the Installation of Surveillance System and Safe Residential Environment in the Urban Regeneration

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    https://www.riss.kr/link?id=A104501350

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In urban regeneration, it emphasizes the role of the city as a solution to urban problems such as traffic congestion and crime in order to create a safe and efficient urban residential environment. This includes efficient and safe urban management and public safety. In particular, it is important to raise awareness of crime prevention and safety by applying a surveillance system such as CCTV to reduce citizens' anxiety about crimes exposed to vulnerable subjects and rectangular areas and to improve safe residential environment. Therefore, this study investigates safe residential environment according to installation of local monitoring system analyzing the case study using big data in urban regeneration project. According to the results of the study, the priority area of the regional surveillance system is high vulnerable to crime, It also shows that the installation area of the local surveillance system due to the big data analysis is closely related to the installation requirements of unsafe and unstable residents, and is also consistent with the blind spot that is not easily recognized and disclosed. These results show that voluntary participation and cooperation of local residents are important for urban regeneration and safe residential environment. Based on this, local governments can apply accurate information in safe urban regeneration projects to cope with each citizen's requests and complaints appropriately.
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    In urban regeneration, it emphasizes the role of the city as a solution to urban problems such as traffic congestion and crime in order to create a safe and efficient urban residential environment. This includes efficient and safe urban management and...

    In urban regeneration, it emphasizes the role of the city as a solution to urban problems such as traffic congestion and crime in order to create a safe and efficient urban residential environment. This includes efficient and safe urban management and public safety. In particular, it is important to raise awareness of crime prevention and safety by applying a surveillance system such as CCTV to reduce citizens' anxiety about crimes exposed to vulnerable subjects and rectangular areas and to improve safe residential environment. Therefore, this study investigates safe residential environment according to installation of local monitoring system analyzing the case study using big data in urban regeneration project. According to the results of the study, the priority area of the regional surveillance system is high vulnerable to crime, It also shows that the installation area of the local surveillance system due to the big data analysis is closely related to the installation requirements of unsafe and unstable residents, and is also consistent with the blind spot that is not easily recognized and disclosed. These results show that voluntary participation and cooperation of local residents are important for urban regeneration and safe residential environment. Based on this, local governments can apply accurate information in safe urban regeneration projects to cope with each citizen's requests and complaints appropriately.

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    참고문헌 (Reference)

    1 성우림, "주류판매업소 밀도가 지역별 범죄율에 미치는 영향 -서울특별시를 중심으로-" 사단법인 대한보건협회 41 (41): 75-86, 2015

    2 전창진, "도시재생사업에서 사회적 자본이 로컬 거버넌스에 미치는 영향에 관한 연구 - 전주 T/B 중간지원조직을 중심으로 -" 한국주거환경학회 12 (12): 297-310, 2014

    3 김재환, "도시재생사업 활성화 후보지 평가에 관한 연구 - 여건분석의 정성적 지표에 대한 퍼지이론의 적용 -" 한국주거환경학회 13 (13): 41-59, 2015

    4 김영환, "도시공간의 범죄분포특성에 관한 연구 -환경범죄학의 관점에서 광주광역시를 대상으로-" 한국컴퓨터정보학회 12 (12): 235-242, 2007

    5 김윤옥, "공동주택 거주자의 안전문화역량이 주거만족도에 미치는 영향" 한국주거환경학회 14 (14): 273-288, 2016

    6 Shin, O., "The Development of Crime Risk Assessment Tool and Its Application (III) – with Focus on Sexual Violence and School Violence" Korean Institute of Criminology 2014

    7 Goodstein, L., "The Crime Causes Model: A Critical Review of the Relationship between Fear of Crime, Bystander Suveillance and Changes in the Crime Rate" 5 : 133-151, 1980

    8 Choi, J. Y., "Smart City Management through Urban Big Data" 1-8, 2014

    9 Bennett, T., "Public Attitudes Towards CCTV in Public Places" 5 (5): 72-90, 1996

    10 Ministry of Government Administration and Home Affairs, "Establishment of analysis model for 6 major public data standards, Crisis Management"

    1 성우림, "주류판매업소 밀도가 지역별 범죄율에 미치는 영향 -서울특별시를 중심으로-" 사단법인 대한보건협회 41 (41): 75-86, 2015

    2 전창진, "도시재생사업에서 사회적 자본이 로컬 거버넌스에 미치는 영향에 관한 연구 - 전주 T/B 중간지원조직을 중심으로 -" 한국주거환경학회 12 (12): 297-310, 2014

    3 김재환, "도시재생사업 활성화 후보지 평가에 관한 연구 - 여건분석의 정성적 지표에 대한 퍼지이론의 적용 -" 한국주거환경학회 13 (13): 41-59, 2015

    4 김영환, "도시공간의 범죄분포특성에 관한 연구 -환경범죄학의 관점에서 광주광역시를 대상으로-" 한국컴퓨터정보학회 12 (12): 235-242, 2007

    5 김윤옥, "공동주택 거주자의 안전문화역량이 주거만족도에 미치는 영향" 한국주거환경학회 14 (14): 273-288, 2016

    6 Shin, O., "The Development of Crime Risk Assessment Tool and Its Application (III) – with Focus on Sexual Violence and School Violence" Korean Institute of Criminology 2014

    7 Goodstein, L., "The Crime Causes Model: A Critical Review of the Relationship between Fear of Crime, Bystander Suveillance and Changes in the Crime Rate" 5 : 133-151, 1980

    8 Choi, J. Y., "Smart City Management through Urban Big Data" 1-8, 2014

    9 Bennett, T., "Public Attitudes Towards CCTV in Public Places" 5 (5): 72-90, 1996

    10 Ministry of Government Administration and Home Affairs, "Establishment of analysis model for 6 major public data standards, Crisis Management"

    11 Lee, S. C., "Effects of Perception of CCTV and Local Environmental Factors on Fear of Crime" Dongguk University 2009

    12 Ditton, J., "Crime and the City: Public Attitudes to CCTV in Glasgow" 40 : 692-709, 2000

    13 Agarwal, J., "Crime Analysis using K-Means Clustering" 83 (83): 1-4, 2013

    14 Fan, J., "Challenges of Big Data analysis" 1 : 293-314, 2014

    15 Goold, B. J., "CCTV and Policing: Public Area Surveillance and police Practices in Britain" Oxford University Press 2004

    16 Villars, R. L., "Big data: what it is and why you should care, White paper" IDC 2011

    17 Manyika, J., "Big data: the net frontier for innovation, competition and productivity" McKinsey Global Institute 2011

    18 Chen, M., "Big data: related technologies, challenges and future prospects" Springer 2014

    19 김공양, "AHP기법을 이용한 도시재생사업의 우선순위 평가 - 창원(마산)시를 중심으로 -" 한국주거환경학회 14 (14): 37-49, 2016

    20 Philips, C., "A Review of CCTV evaluations: Crime reduction effects and attitudes Towards its USA" 10 (10): 123-155, 1999

    21 Forrester Research, "2017 Predictions:Dynamics That Will Shape the Future in the Age of the Customer"

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2026 평가 재인증평가 신청대상 (재인증)
    2020-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2017-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2013-01-01 등재 등재 1차 FAIL (등재유지) KCI등재
    2010-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2009-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2007-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.8 0.8 0.83
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.87 0.86 0.868 0.25
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