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Agmt Center for Public Safety Management,LLC (CPSM SA)
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Agmt Center for Public Safety Management,LLC (CPSM SA)
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Last modified
9/22/2022 12:43:47 PM
Creation date
9/22/2022 12:43:41 PM
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Agreement
Contractor Name
Center for Public Safety Management,LLC (CPSM SA)
PROJECT NAME
PD Staffing Analysis
RMP File Number
304.5
Date
9/1/2022
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REV: 07-22-22 RL <br />CPSM has found that the most effective way to manage operations, including policing, is <br />to make decisions based upon the interpretation and analysis of data and information. <br />To achieve this, a data analysis of police department workload, staffing and deployment <br />will be conducted. By objectively looking at the availability of deployed hours and <br />comparing those to the hours necessary to conduct operations, staffing expansion and/or <br />reductions can be determined and projected. Additionally, the time necessary to conduct <br />proactive police activities (such as team-led enforcement, directed patrol, community <br />policing and selected traffic enforcement) will be reviewed to provide the city with a <br />meaningful methodology to determine appropriate costing allocation models. <br />Workload vs. Calls for Service (CFS) <br />CFS is a number – Workload is the cumulative time it takes to handle the call for service, <br />including all responding officers. <br />A burglary if one call for service. However, if three officers respond and two are there for <br />an hour and the third is there for 30 minutes the Workload is 2 ½ hours. <br />Once an analysis of the actual workload is made, then a determination can be made as <br />to the amount of discretionary patrol time that should exist. <br />The CPSM study will result in the calculation of service demands placed on the <br />department, workload levels, service times for calls for service, and response times. This <br />information is developed by first extracting data from the departments CAD system. The <br />extracted information is then processed, and workload is calculated. This workload is then <br />compared to deployment levels. The product of this analysis is the variance between <br />service demands and available personnel, and appropriate recommendations made for <br />staffing levels and an optimal deployment schedule to meet these service demands. This <br />permits exploration of the following questions: <br />▪ Based on the workload is the shift schedule aligned appropriately and what alternatives <br />to the current shift plan are most efficient? <br />▪ How many police officers and supervisors are needed to staff the patrol function to meet <br />the workload demands placed on the agency? <br />▪ How long does it take to respond to calls for service (both response time and total time) <br />and what ways are there to reduce these times? <br />▪ How many officers are assigned to each call and what are the ways to minimize these <br />assignments? <br />▪ What categories of call, and in what frequency, does the agency handle and what <br />measures can be adopted to minimize unnecessary responses? <br />The study will determine the gaps in patrol coverage and recommendations for modifying <br />temporal and spatial deployment. With the appropriate “best fit” of patrol coverage <br />identified, a determination can be made about the exact number of officers required to <br />meet service demands, and in what shift/district/division combinations to maximize <br />resources. <br />ATTY/AGR.2022.188/Center for Public Safety Management, LLC. (Page 12 of 15)
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