Journal article
A game-theoretical approach for policing decision support
European journal of applied mathematics, v 27(3), pp 338-356
Jun 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recently, many security-related problems have gained increasing attention from a quantitative perspective. In this paper, we propose a game-theoretical approach to model the interaction between police forces and delinquents in public places. In the well-known Stackelberg game, a leader is faced with only one follower. However, in our application, the police are simultaneously faced with many offenders, who may be organized or act independently of each other. This application motivates the development of two games: a classical leader-follower interaction between police and organized criminals on the one hand and a novel approach between the leader and selfishly acting offenders on the other. It is of special interest that the effect of crime displacement under police surveillance be anticipated by the proposed models. Results using data from a simulated environment emphasise how these models can provide decision support for policing outperforming traditional strategies.
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Details
- Title
- A game-theoretical approach for policing decision support
- Creators
- G. Espejo - 1Department of Industrial Engineering, FCFM, Universidad de Chile, Av. República 701, Santiago, Chile email: juespejo@ing.uchile.cl, rweber@dii.uchile.clG. L'HUILLIER - 2Wifi Securities, Inc., 998 Hamilton Ave, Menlo Park, CA, 94025, USA email: g@zapship.comR. Weber - 1Department of Industrial Engineering, FCFM, Universidad de Chile, Av. República 701, Santiago, Chile email: juespejo@ing.uchile.cl, rweber@dii.uchile.cl
- Publication Details
- European journal of applied mathematics, v 27(3), pp 338-356
- Publisher
- Cambridge University Press
- Number of pages
- 19
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000375839900003
- Scopus ID
- 2-s2.0-84941337289
- Other Identifier
- 991019238805504721
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- Collaboration types
- International collaboration
- Web of Science research areas
- Mathematics, Applied