This research paper is involved with the persisting problem of child trafficking in towns and cities which concentrate on the involvement of architecture and the circumstances it presents for misdemeanor in terms of current approaches and research addressing them. It outlines an architectural plan for the Urban Safety and Monitoring System (USMS), a crime analysis strategy that involves the crime script theory, crime world map, and community participation in alleviating trafficking. The USMS admits the possibility of spatial blind areas where illicit human trafficking can occur inconspicuously within cities. Consequently, the USMS targets to scrutinize urban layouts, to employ Crime Prevention Through Environmental Design (CPTED), and leverage big data analytics to narrow down spatial blind areas for trafficking. It urges and takes into account the efforts of collaborative endeavors among urban planners, police, and community-based agencies in order to create safer public spaces and optimize preventive measures against child trafficking, and elevate public awareness.

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A Data-Driven Approach to Combating Child Trafficking Through Urban Safety and Monitoring System

  • Tridiv Swain,
  • Ayman Bin Alam,
  • Nilamadhab Mishra,
  • Tiansheng Yang,
  • Lu Wang,
  • Xin Liu

摘要

This research paper is involved with the persisting problem of child trafficking in towns and cities which concentrate on the involvement of architecture and the circumstances it presents for misdemeanor in terms of current approaches and research addressing them. It outlines an architectural plan for the Urban Safety and Monitoring System (USMS), a crime analysis strategy that involves the crime script theory, crime world map, and community participation in alleviating trafficking. The USMS admits the possibility of spatial blind areas where illicit human trafficking can occur inconspicuously within cities. Consequently, the USMS targets to scrutinize urban layouts, to employ Crime Prevention Through Environmental Design (CPTED), and leverage big data analytics to narrow down spatial blind areas for trafficking. It urges and takes into account the efforts of collaborative endeavors among urban planners, police, and community-based agencies in order to create safer public spaces and optimize preventive measures against child trafficking, and elevate public awareness.