Abstract
Everyday there are growing pressures to ensure that services are delivered efficiently, with high levels of quality and with acceptability of regulatory standards. For the Police Force, their service requirement is to the public, with the police officer presence being the most visible product of this criminal justice provision. Using historical data from over 10 years of operation, this research demonstrates the benefits of using data mining methods for knowledge discovery in regards to the crime and incident related elements which impact on the Police Force service provision. In the UK, a Force operates over a designated region (macro-level), which is further subdivided into Beats (micro-level). This research also demonstrates differences between the outputs of micro-level and macro-level analytics, where the lower level analysis enables adaptation of the operational Policing strategy. The evidence base provided through the analysis supports decisions regarding further investigations into the capability of flexible neighbourhood policing practices; alongside wider operations i.e. optimal officer training times.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018 |
| Editors | Tung X. Bui |
| Publisher | IEEE Computer Society |
| Pages | 1515-1524 |
| Number of pages | 10 |
| ISBN (Electronic) | 9780998133119 |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 51st Annual Hawaii International Conference on System Sciences, HICSS 2018 - Big Island, United States Duration: 2 Jan 2018 → 6 Jan 2018 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| Volume | 2018-January |
| ISSN (Print) | 1530-1605 |
Conference
| Conference | 51st Annual Hawaii International Conference on System Sciences, HICSS 2018 |
|---|---|
| Country/Territory | United States |
| City | Big Island |
| Period | 2/01/18 → 6/01/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
ASJC Scopus subject areas
- General Engineering
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