SCOR_final.pdf (683.11 kB)
Simulation combined approach to police patrol services staffing
conference contribution
posted on 2016-06-24, 13:17 authored by Hanjing Zhang, Antuela Tako, Lisa JacksonLisa Jackson, Jiyin LiuJiyin LiuMotivated by the squeeze on public service expenditure, staffing is an important issue for service systems, which are required to maintain or even improve their service levels in order to meet general public demand. This paper considers Police Patrol Service Systems (PPSSs) where staffing issues are extremely serious and important because they have an impact on service
costs, quality and public-safety. Police patrol service systems are of particularly interest because the demand for service exhibits large time-varying characteristics. In this case, incidents with different urgent grades have different targets of patrol officers’ immediate attendances. A new
method is proposed which aims to determine appropriate staffing levels. This method starts at a refinement of the Square Root Staffing (SRS) algorithm which introduces the possibility of a delay in responding to a priority incident. Simulation of queueing systems will then be implemented to indicate modifications in shift schedules. The proposed method is proved to be effective on a test instance generated from real patrol activity records in a local police force.
History
School
- Business and Economics
Department
- Business
Published in
5th Student Conference on Operational Research (SCOR 2016)Citation
ZHANG, H. ...et al., 2016. Simulation combined approach to police patrol services staffing. Presented at the 5th Student Conference on Operational Research (SCOR 2016), Nottingham University, 8-10th April.Publisher
© The Authors. Published by Dagstuhl PublishingVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/Acceptance date
2016-05-15Publication date
2016Notes
This is a conference paper. This is an Open Access Article. It is published by Dagstuhl Publishing under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/ISBN
9783959770040Publisher version
Language
- en