Simulation Combined Approach to Police Patrol Services Staffing

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

Using activity based costing and simulation to reduce cost at a Police communications centre

Purpose: This study is based at a police force’s communications centre which undertakes a vital role in receiving and processing emergency and non-emergency telephone calls from the public and other agencies. The purpose of this paper is to evaluate a method for addressing the conflict between the need to reduce cost and the requirement to meet national standards in terms of a timely response to customer calls. Design/methodology/approach: In a two-stage methodology an activity-based costing (ABC) approach is used as a framework to show how costs are generated by the three “drivers” of cost which relate to the design efficiency of the process, the demand on the process and the cost of resources used to undertake the process. The study then provides an analysis from a resource driver perspective using discrete-event simulation to model workforce staffing scenarios. Findings: Cost savings within the police communications centre are identified from an analysis of the three drivers of cost. Further analysis from a resource driver viewpoint using a simulation study of an alternative workforce schedule predicted an overall reduction in staffing cost of 9.4 per cent. Originality/value: The study outlines an innovative method that identifies where cost can be reduced using ABC and then provides an assessment of strategies that aim to reduce cost whilst maintaining service levels in a police operation using simulation

Leveraging Wireless Broadband to Improve Police Land Mobile Radio Programming: Estimating the Resource Impact

Despite rapid growth in criminological studies of police technology, examinations of police land mobile radios are absent in the literature. This is troubling given the central role mobile radios serve in police operations and their significant management costs. The present study seeks to fill this gap by introducing the functionality of wireless broadband radio programming. Current practice requires a police officer to physically drive to a radio programming location to manage their mobile radio. Wireless programming remedies this burdensome reality, thereby saving officer time and cost. Geospatial analyses are used to estimate distance saved associated with wireless programming. We then conduct a number of calculations to determine time and cost savings related to the observed differences between existing and wireless radio programming within the context of the North Carolina State Highway Patrol. Results suggest wireless radio programming can save significant personnel and financial resources. Implications are discussed

Planning robust policing futures: modelling using multimethodology

Purpose – The resourcing of policing activity is characterised by a level of complexity, particularly where evaluating alternative policy options is concerned. In this paper, a case study using multimethodological modelling to compare alternative policy choice in a group context is outlined with respect to response-patrol officer (RPO) deployment within a UK police force. The paper aims to discuss these issues. Design/methodology/approach – The application of a three phase modelling process is illustrated where scenario planning is used to generate the scope of the system elements to be modelled. This is followed by causal mapping to identify the barriers to improving officer resourcing, and system dynamics modelling is used to simulate the impacts of a range of policy options within this policing function. A group model building approach was applied throughout the modelling phases with anexpert group to negotiate a shared view of the structure and dynamics of the resourcing policy challenges. Findings – A fully validated system dynamics model emerged from the multi-phase modelling process which allowed a series of alternative future policy scenarios to be explored and evaluated. Useful policy insights were generated by the system dynamics simulation model which suggested more efficient rules for resource allocation in the police force’s RPO function. Originality/value – The insights from this case study demonstrates that multi-phase modelling has potential application in policy exploration across a range of emergency service providers whoseactions are governed by both variable demand and constrained supply of resourc

Federal Offices of Inspectors General: The Relationship Between Per Capita Staffing Levels and Performance Results

Each year, the federal government spends trillions of dollars on operations and in awarding contracts, grants, loans, and other forms of financial assistance. Federal Offices of Inspectors General (OIGs) are charged with auditing and investigating fraud, waste, abuse, and misconduct affecting the government. There are 73 such OIGs – 40 of which have law enforcement authority and oversight responsibilities for a parent agency – and each is a separate organization with varying staffing levels and performance results. This study examined, on a per capita level, the relationship between staffing levels and performance results (criminal charges filed, financial recoveries, and questioned costs) at these 40 OIGs. Using data envelopment analysis, this study also examined whether there is an optimal per capita staffing level beyond which performance results start to decrease. Additionally, this study examined the relationship between audit-related and investigative-related performance results. No relationship was found between per capita staffing levels and charges filed or questioned costs. However, a potential correlation was found between per capita staffing levels and financial recoveries. No relationship was found between the audit-related performance outcome of questioned costs per capita and the investigative-related performance outcomes of charges filed per capita and financial recoveries per capita. An optimally efficient OIG staffing level range was identified as being 0.00137 to 0.02738 full-time equivalents for every million dollars of the OIG parent agency’s budget. OIGs having staffing levels within this range were 1.089 to 1,000 times more efficient than OIGs with staffing levels outside the range. However, this range should be viewed as one within which maximum performance can be achieved as opposed to a target range that OIGs should strive to attain. OIGs with per capita staffing levels higher than the optimally efficient range did not have higher efficiency. Additionally, among the sample, no correlation was found between efficiency and either financial recoveries per capita or questioned costs per capita; however, a correlation was found between efficiency and charges filed per capita. This demonstrates that among the sample, OIGs with higher charges filed per capita had higher efficiency scores, but OIGs with higher financial recoveries per capita or questioned costs per capita did not have higher efficiency scores

Multi-community command and control systems in law enforcement: An introductory planning guide

A set of planning guidelines for multi-community command and control systems in law enforcement is presented. Essential characteristics and applications of these systems are outlined. Requirements analysis, system concept design, implementation planning, and performance and cost modeling are described and demonstrated with numerous examples. Program management techniques and joint powers agreements for multicommunity programs are discussed in detail. A description of a typical multi-community computer-aided dispatch system is appended

Commercial-off-the-shelf simulation package interoperability: Issues and futures

Commercial-Off-The-Shelf Simulation Packages (CSPs) are widely used in industry to simulate discrete-event models. Interoperability of CSPs requires the use of distributed simulation techniques. Literature presents us with many examples of achieving CSP interoperability using bespoke solutions. However, for the wider adoption of CSP-based distributed simulation it is essential that, first and foremost, a standard for CSP interoperability be created, and secondly, these standards are adhered to by the CSP vendors. This advanced tutorial is on an emerging standard relating to CSP interoperability. It gives an overview of this standard and presents case studies that implement some of the proposed standards. Furthermore, interoperability is discussed in relation to large and complex models developed using CSPs that require large amount of computing resources. It is hoped that this tutorial will inform the simulation community of the issues associated with CSP interoperability, the importance of these standards and its future

Determining optimal police patrol deployments: a simulation-based optimisation approach combining agent-based modelling and genetic algorithms

One of the most important tasks faced by police agencies concerns the strategic deployment of patrols in order to respond to calls whilst also deterring crime. Current deployment strategies typically lack robustness as they are often based on tradition. As police agencies are encouraged to improve the effectiveness and efficiency of their services, it is essential to devise advanced patrol deployments that are based on recent scientific evidence. Most existing models of patrol deployments are too simplistic, and are thus unable to provide a realistic representation of the complexity of patrol activities. Furthermore, past studies have tended to focus on individual aspects of patrol deployment such as efficiency, reactive effectiveness or proactive effectiveness, rather than consider them all together as part of the same problem. This thesis proposes to develop a decision-support tool for informing better patrol deployment designs. This tool consists of a simulation-based optimisation approach combining two key components: (1) an agent-based model (ABM) of patrol activities used to evaluate the performance of the system under a given deployment configuration and (2) a genetic algorithm (GA) which seeks to speed up the search for optimal deployments. While the developed framework is designed to be applicable to any police force, a case study is provided for the city of Detroit in order to demonstrate its potential. The developed decision-support tool shows considerable potential in informing more cost-effective patrol deployments. First, the ABM of patrol activities allows for exploration of the impact of various deployment decisions that police agencies are unable to experiment with in the real world. Second, the GA makes it possible to optimise patrol deployments by identifying 'good' solutions, which provide faster responses to incidents and deter crime in key areas, in reasonable time