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Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Willingness to pay for parking

Municipality of Utrecht

By monitoring whether and where residents are willing to pay parking fees, we can better and more precisely implement our parking policy. This could indirectly lead to more or fewer parking spaces and more or less crowding at certain locations in the city.
Last change on 5th of September 2025, at 13:02 (CET) | Publication Standard 1.0
Publication category
Impactful algorithms
Impact assessment
Uthiek, DPIA
Status
In use

General information

Theme

Traffic

Begin date

-

Contact information

algoritmeregister@utrecht.nl

Responsible use

Goal and impact

Monitoring residents' willingness to pay parking fees

Considerations

Results Uthiek Assessment: by monitoring residents' willingness to pay for parking in Utrecht, we can shape our parking policy in a better and more targeted way. Thanks to an improved form of our parking policy, we can properly perform our legal task of parking enforcement. This contributes to the Power Relations value. The value Privacy is NOT at stake because we monitor at an aggregated level with parking revenue at different locations. Without using personal data from individual parking actions.

Human intervention

The algorithm (with direct impact on Utrecht residents and their living environment) only serves as a source of information for an employee, who takes the right follow-up step based on this information and the context of the situation. This principle is included in our Utrecht framework Internal Guidelines for Algorithm Application.

Risk management

The Utrecht data scientists, Information and Process Advisors (IPA) and Decentralised Information Security Officers (DISO) within the Utrecht municipality have a controlling and monitoring role in the application of the algorithm, in addition to the employees directly involved. By doing so, we want to prevent the following risks from occurring:


- data leak by making personal data of Utrecht residents publicly available

- algorithm takes a decision completely independently, without the intervention of an employee and without interpreting the relevant context of the situation

- 'function creep' regarding data in the application of the algorithm, causing the algorithm to give a distorted picture of what is going on. This can occur because the same type of data is used when applying the algorithm, and the algorithm uses that as confirmation for what comes out as information

Impact assessment

  • Utrecht Uthiek Assessment
  • Data Protection Impact Assessment (DPIA)

Operations

Data

Financial data from internal systems

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