TY - GEN
T1 - Influencing operational policing strategy by predictive service analytics
AU - Jackson, Lisa
AU - Stoneman, Melanie Jane
AU - Callaghan, Heather
AU - Zhang, Hanjing
AU - Latsou, Christina
AU - Dunnett, Sarah
AU - Mao, Lei
N1 - Publisher Copyright:
© 2018 IEEE Computer Society. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85108263839&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85108263839
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 1515
EP - 1524
BT - Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 51st Annual Hawaii International Conference on System Sciences, HICSS 2018
Y2 - 2 January 2018 through 6 January 2018
ER -