Enforcement Benchmarking (Free): Understanding the Metrics

Modified on Tue, 22 Aug 2023 at 04:51 PM

This article will help you understand the details displayed on the Enforcement Benchmarking (Free) dashboard. Read this knowledge base article to learn how the premium version differs.


Note: For all metrics, the week begins at 12:00am on Monday. 


TABLE OF CONTENTS

Filters Overview

  • Operator Name. Select your operator(s).
  • Interval. Select the interval unit for displaying the date range.
    • Note: The free report provides only a month interval.
  • Operators to Compare. Select one or more operators that whose data you want to compare.
    • Note: This drop-down menu displays only those operators that have opted in to to data sharing and have the Parking product.

Understanding the Deltas: Operator Comparisons

The deltas for these items will compare your operator’s data against the aggregated average of the operator data you selected to compare.

Citations Issued

Overview

When the dashboard displays only my operator’s data, this tile displays the total number of citations issued by my operator. When additional operators are filtered onto the dashboard, this tile displays a delta that shows how my data compares to the average of those operators.

Calculation

(a - b) / a × 100

  • a = Number of citations issued by your Operator
  • b = Average number of citations issued for the selected benchmark operators

Example

You are Operator A and you issued 200 citations. You compare yourself with Operators B and C. Operator B issued 100 citations, while Operator B issued 700 citations. The percent of difference is -100%

(200 - (700 + 100 / 2) / 200) x 100

Collection Rate

Overview

When the dashboard displays only my operator’s data, this tile displays the collection rate for citations issued by my operator. When additional operators are filtered onto the dashboard, this tile displays a delta that shows how my data compares to the average of those operators.

Calculation

(a - b)

  • a = Collection rate of your Operator
  • b = Percentage difference in the collection rate between your organization the selected operators

Example

You are Operator A and your collection rate is 100%. You compare yourself with Operators B, C, and D. Operator B’s rate is 80%, C’s rate is 50%, and D’s rate is 80%. The percentage of difference is + 30%.

100 - ((80+50+80) / 3) = 30

(80+50+80) / 3 = 70

Citations Fully Paid Within 90 Days

Overview

When the dashboard displays only my operator’s data, this tile displays the percentage of citations issued by my operator that have been paid within 90 days. When additional operators are filtered onto the dashboard, this tile displays a delta that shows how my data compares to the average of those operators.

Calculation

(a - b)

  • a = Number of citations paid within 90 days for your Operator
  • b = Percentage difference in the number of citations paid within 90 days between your organization the selected operators

Example

You are Operator A and your rate of citations fully paid within 90 days is 100% (great job!). You compare yourself with Operators B, C, and D. Operator B’s rate is 80%, Operator C’s rate is 50%, and Operator D’s rate is 80%. The percentage of difference is + 30%.

100 - ((80+50+80) / 3) = 30

(80+50+80) / 3 = 70

Individual Metrics

When the dashboard displays only my operator’s data, the tile will display the specific metric for my operator. When additional operators are added to the dashboard, their data will be displayed with mine. When multiple additional operators are selected, the average of those operators will also be displayed.

Total Number of Citations Issued

Overview

This metric displays the total number of citations issued within a specific timeframe.

Note: This metric does not include warning citations.

Calculation

(Total Citations Issued)

Data Source(s)

  • Issue Date

Factors That Affect This Metric

  • number of enforcement officers
  • number of days with enforcement
  • hours of enforcement
  • regulations in place
  • size of the enforcement environment 
  • scale of operation
  • hours of enforcement
  • total number of spaces
  • paid vs. unpaid
  • off-street vs. on-street
  • frequency of patrol (e.g., once per day, once per hour)
  • guidelines used by enforcement officers to determine when to write a warning citation

Metric Significance    

This metric reveals the number of citations that a client is issuing. This ties directly to the number of citations that the client can accept payment on, can be appealed, and that the client will need to manage through their parking enforcement operations.

Total Number of Warnings Issued

Overview

This metric displays the total number of warnings issued within a specific timeframe.

Calculation    

(Total Warning Citations Issued)

Data Source(s)    

  • Issue Date

Factors That Affect This Metric    

Not all operators issue warnings. However, for those who do, these factors can affect this metric:

  • guidelines used by enforcement officers to determine when to write a warning citation
  • number of enforcement officers
  • number of days with enforcement
  • hours of enforcement
  • regulations in place
  • size of the enforcement environment 
  • scale of operation
  • hours of enforcement
  • total number of spaces
  • paid vs. unpai
  • off-street vs. on-street
  • frequency of patrol (e.g., once per day, once per hour)

Metric Significance    

This metric shows how often officers issue warning citations and gives insight into how well policy is being followed.

Percentage of Citations Issued as Warnings

Overview

This metric displays the percentage of citations issued as warnings within a specific timeframe.

Calculation    

((Total Warning Citations) / (Total Citations)) * 100

Data Source(s)    

  • Issue Date
  • Citation Field Name
  • Warning Field Name

Factors That Affect This Metric    

Not all operators issue warnings. However, for those who do, these factors can affect this metric:

  • guidelines used by enforcement officers to determine when to write a warning citation
  • number of enforcement officers
  • number of days with enforcement
  • hours of enforcement
  • regulations in place
  • size of the enforcement environment 
  • scale of operation
  • hours of enforcement
  • total number of spaces
  • paid vs. unpaid
  • off-street vs. on-street
  • frequency of patrol (e.g., once per day, once per hour)

Metric Significance    

This metric shows how often officers are issuing warning citations and gives insight into how well policy is being followed.

Appeal Acceptance Rate

Overview

This metric shows the percentage of appealed citations with an Appeal Decision appealed within a specific timeframe that have been Dismissed by an adjudicator.

Calculation

(Total Accepted Appeals) / (Total Appealed) (by citation)

Data Source(s)    

  • Appeal Status
  • Appeal Date

Factors That Affect This Metric    

The following list provides all data that affects this metric.

  • Rules around how and when a citation can be appealed may impact this, as well as the leniency of the adjudicator
  • Quality of citations written by enforcement officers

Metric Significance    

This metric provides insight into the quality of tickets that are being issued by officers. Having a lot of invalid tickets impacts productivity and negatively impacts the general public. This also shows how adjudicators are processing the appeals, potentially being too lenient  

Total Collectable Citations

Overview

This metric shows the total number of citations issued within a specific timeframe that have not been voided or dismissed and are eligible to be paid by the offender.

Calculation    

(Total Citations) - (Total Warning Citations) - (Total Voided Citations) - (Total Dismissed Citations)

Data Source(s)    

  • Void Status
  • Appeal Status
  • Issue Date

Factors That Affect This Metric    

The following list provides all data that affects this metric.

  • A client's operational flow may impact the number of voids vs number of appeals. This will also change over time due to older citations being addressed.

Metric Significance    

Collectable Citations are what drives revenue and compliance. Having a lot of invalid tickets impacts productivity and negatively impacts the general public.

Percentage of Citations Fully Paid Within 90 Days

Tooltip

When the dashboard displays only my operator’s data, this tile displays the percentage of citations paid within 90 days for my operator. When the dashboard displays additional operators, this tile displays the percentage of citations paid within 90 days for those additional operators. The delta represents how my data compares to that average.

Overview

This metric provides insight into the percentage of Citations issued within a specific timeframe that have a Paid Date that is within 90 days of the Issue Date.

Calculation    

((Total Citations Fully Paid Within 90 Days) / (Total Paid Citations)) * 100

Data Source(s)    

  • Payment Status
  • Payment Date
  • Issue Date

Factors That Affect This Metric    

The following list provides all data that affects this metric.

  • Citations that are in an "In Process" appeal status for an extended time may impact this.

Metric Significance    

The longer citations remain unpaid, the less likely they are to be paid. 

Percentage of Payments Made Online

Overview

This metric provides insight into the percentage of Paid Citations paid within a specific timeframe that were paid using the online portal (RMCPay).

Calculation

((Total Online Payments) / (Total Paid Citations)) * 100

Data Source(s)    

  • Payment Status
  • Payment Type
  • Payment Date

Factors That Affect This Metric    

The following list provides all data that affects this metric.

  • Some clients may not offer in office payments or may charge a larger fee for paying online. Clients may also not allow for booted vehicle payments online, and clients with high volume booting may be impacted.

Metric Significance    

This metric shows the percentage of payments that are made outside of the office. Payments made outside of the office have less operational costs, such as personnel and handling of funds.

Average Days from Citation Issuance to Fully Paid

Overview

This metric provides insight into the average number of days from the Issue Date to the Paid Date for all Paid Citations.

Calculation    

(Total Days to Fully Paid) / (Fully Paid Citations)

Data Source(s)    

  • Payment Status
  • Payment Date
  • Issue Date

Factors That Affect This Metric    

The following list provides all data that affects this metric.

  • Longer escalation timelines and appeal windows could increase the number of days until paid

Metric Significance    

The longer citations remain unpaid, the less likely they are to be paid.

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