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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21822

Title: Simulation combined approach to police patrol services staffing
Authors: Zhang, Hanjing
Tako, Antuela A.
Jackson, Lisa M.
Liu, Jiyin
Editors: Hardy, B
Qazi, A
Ravizza, S
Keywords: Police patrol service system
Time dependent queue
Priority queue
Square root staffing
Issue Date: 2016
Publisher: © The Authors. Published by Dagstuhl Publishing
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.
Abstract: Motivated 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.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/21822
Publisher Link: http://www.scor16.com/
Appears in Collections:Conference Papers and Contributions (Aeronautical and Automotive Engineering)
Conference Papers (Business School)

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