A decision support system for predictive police patrolling
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 101629383
- Type
- D - Journal article
- DOI
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10.1016/j.dss.2015.04.012
- Title of journal
- Decision Support Systems
- Article number
- -
- First page
- 25
- Volume
- 75
- Issue
- -
- ISSN
- 0167-9236
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1016/j.dss.2015.04.012
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
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A - Artificial intelligence and data analytics
- Citation count
- 43
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research resulted from an on-going collaboration with the Spanish National Police, started in 2014 with the aim to innovate policing by integrating decision support systems, which has also led to other successful applications (e.g. https://doi.org/10.1016/j.knosys.2018.03.010). A multicriteria optimisation model is demonstrated on a dataset of 105,755 theft incidents from Madrid, showing the potential to increase the efficiency and efficacy of patrolling operations. In their review on multicriteria methods for public security, Pereira-Basilio et al. (https://doi.org/10.13189/ujm.2017.051202) recognised that “the novelty of this model is that [it] evaluates the workload associated with a specific patrol sector according to various criteria".
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -