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Prospective Hot-Spotting: The Future of Crime Mapping?
Open accessAbstract
Existing methods of predicting and mapping the future locations of crime are intrinsically retrospective. This paper explores the development of a mapping procedure that seeks to produce ‘prospective’ hot-spot maps. Recent research conducted by the authors demonstrates that the risk of burglary is communicable, with properties within 400 metres of a burgled household being at a significantly elevated risk of victimization for up to two months after an initial event. We discuss how, using this knowledge, recorded crime data can be analysed to generate an ever-changing prospective risk surface. One of the central elements of this paper examines the issue of how such a risk surface could be evaluated to determine its effectiveness and utility in comparison to existing methods. New methods of map evaluation are proposed, such as the production of search efficiency rates and area-to-perimeter ratios; standardized metrics that can be derived for maps produced using different techniques, thereby allowing meaningful comparisons to be made and techniques contrasted. The results suggest that the predictive mapping technique proposed here has considerable advantages over more traditional methods and might prove particularly useful in the shift-by-shift deployment of police personnel.
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Cited by
Self-Exciting Point Process Modeling of Crime
Mohler, G. O., Short, M. B., Brantingham, P. J., Schoenberg, F. P., & Tita, G. E. (2011) · Journal of the American Statistical Association · doi:10.1198/jasa.2011.ap09546 · Cited by 892
Randomized Controlled Field Trials of Predictive Policing
Mohler, G. O., Short, M. B., Malinowski, S., Johnson, M., Tita, G. E., Bertozzi, A. L., & Brantingham, P. J. (2015) · Journal of the American Statistical Association · doi:10.1080/01621459.2015.1077710 · Cited by 381
Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement
Berk, R. A. (2021) · Annual Review of Criminology · doi:10.1146/annurev-criminol-051520-012342 · Cited by 213
Adepeju, M., Rosser, G., & Cheng, T. (2016) · International Journal of Geographical Information Science · doi:10.1080/13658816.2016.1159684 · Cited by 75
Fielding, M., & Jones, V. (2012) · International Journal of Police Science & Management · doi:10.1350/ijps.2012.14.1.260 · Cited by 58
Metadata
- Authors
- Bowers, K. J.
- Venue
- British Journal of Criminology
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-05-07
- Volume
- 44
- Issue
- 5
- Pages
- 641-658
- ISSN
- 0007-0955 (ISSN-L)
- 1464-3529
- OpenAlex
- W1987685062
- Cited by
- 315
- References
- 0
- FWCI
- 26.59
- Type
- journal article
- Language
- en
- Open access
- green
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