The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Network Analysis for Crime Prevention in Public Restrooms: Weighting Factors

네트워크 모델 기반 공중화장실 범죄위험요소 가중치 산출

  • Shin-Sook Yoon ;
  • Jeong-Hwa Song (Dept. Architecture, Namseoul University)
  • 윤신숙 (남서울대학교 산학협력단 ) ;
  • 송정화 (남서울대학교 건축학과)
  • Received : 2024.07.30
  • Accepted : 2024.10.12
  • Published : 2024.10.31
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Abstract

This study employed network analysis techniques to examine the relationships between spatiotemporal factors associated with crimes in public restrooms, drawing on diverse relevant data sources. We then evaluated the relative importance of these factors in crime occurrence. Variables related to crime incidence were identified, and their interconnectedness was assessed for network analysis, resulting in a data-driven network model with complex relational structures. The network model contributed to calculating the weight of each factor and identifying key elements. The location of public restrooms, usage time, surrounding environment, and facility conditions emerged as crucial factors in crime occurrence, with lighting quality and local security status showing high weightings. These findings can be utilized to prioritize interventions in public restroom design and management to enhance safety. The network analysis methodology demonstrated its potential in proposing crime prevention measures for public spaces, including restrooms, and contributing to the creation of safer public environments.

본 연구에서는 다양한 관련 데이터를 근거로, 네트워크 분석 기법을 적용하여 공중화장실 범죄와 연관된 시공간 요소들 간의 관계를 파악하였다. 그런 다음 이들 요소가 범죄 발생에 미치는 상대적 중요성을 평가하였다. 범죄 발생과 관련된 변수들을 도출하였으며 네트워크 분석을 위해 이 변수들 간의 연결성을 평가하여, 복잡한 관계 구조를 가진 데이터 기반 네트워크 모델을 구축하였다. 네트워크 모델은 각 요소의 가중치를 산출, 중요 요소를 식별하는데 기여하였다. 공중화장실의 위치, 이용 시간대, 주변 환경, 설비의 상태 등이 범죄 발생에 중요한 요소로 나타났으며, 조명의 질과 주변 지역의 치안 상태가 높은 가중치를 지닌 것으로 확인하였다. 이러한 결과는 공중화장실 설계 및 관리에 안전도 향상에 중요한 요소들을 식별하여 우선 조치하는데 활용할 수 있다. 네트워크 분석 방법론은 공중화장실을 포함한 공공장소에서의 범죄 예방 방안을 제시하고, 안전한 공공 환경 조성에 기여할 수 있음을 확인하였다.

Keywords

Acknowledgement

본 논문은 2022년도 정부에서 교육부의 재원으로 한국과학재단 지원사업의 지원으로 수행된 기초연구사업임.(No. 2022R1I1A3053087)

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