Strategic Planning of Police Deployment in Soccer Stadiums Using Multicriteria Analysis and Unsupervised Clustering

  • Antonio Marcos de Lima UFPE
  • Thyago Celso Cavalcante Nepomuceno UFPE
  • Jean Turet UFPE

Abstract


This study proposes a methodology combining multicriteria decision aid (MCDA) and cluster analysis to optimize the placement of police units and parking facilities in Recife, Brazil, during high-risk sports events. The K-means algorithm groups crime occurrences into homogeneous clusters, while the PROMETHEE method ranks the best locations based on three criteria: number of facilities (N), average distance of occurrences (D), and coverage level (C). Crime data analysis identifies high-risk areas, supporting strategic resource allocation and enhancing public security.

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Published
2025-07-20
LIMA, Antonio Marcos de; NEPOMUCENO, Thyago Celso Cavalcante; TURET, Jean. Strategic Planning of Police Deployment in Soccer Stadiums Using Multicriteria Analysis and Unsupervised Clustering. In: WORKSHOP ON THE IMPLICATIONS OF COMPUTING IN SOCIETY (WICS), 6. , 2025, Maceió/AL. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 208-216. ISSN 2763-8707. DOI: https://doi.org/10.5753/wics.2025.7957.