2017/04/25 by Carlos Caminha, Caminha, Carlos, Vasco Furtado +1 · 4 citations
Computer Science · Mathematics · Physics and Astronomy · Psychology · Social Sciences · #Business #Computer science #Crime Patterns and Interventions #Criminology #Demography #FOS: Computer and information sciences #FOS: Physical sciences #Geography #Human Mobility and Location-Based Analysis #Human resources #Law #Mathematics #Optimal allocation #Physics and Society (physics.soc-ph) #Political science #Population #Proxy (statistics) #Psychology #Resource allocation #Social and Information Networks (cs.SI) #Sociology #Urban Transport and Accessibility #cs.SI #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1704.07823
published in arXiv (Cornell University) (Cornell University) · 6 pages and 6 figures
arxiv created 2017/04/25 · openalex publication_date 2017/04/25 · arxiv updated 2017/04/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Motivated by recent findings that human mobility is proxy for crime behavior in big cities and that there is a superlinear relationship between the people's movement and crime, this article aims to evaluate the impact of how these findings influence police allocation. More precisely, we shed light on the differences between an allocation strategy, in which the resources are distributed by clusters of floating population, and conventional allocation strategies, in which the police resources are distributed by an Administrative Area (typically based on resident population). We observed a substantial difference in the distributions of police resources allocated following these strategies, what evidences the imprecision of conventional police allocation methods.