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.
Risk model prioritising environmental monitoring
- Organisation
- The Valley Environment Service
- Theme
- Nature and Environment
- Public Order and Safety
- Space and Infrastructure
- Status
- In use
General information
Name
Short description
Organisation
Theme
- Nature and Environment
- Public Order and Safety
- Space and Infrastructure
Status
Begin date
Contact information
Link to publication website
Publication category
Responsible use
Goal and impact
Supervision capacity is deployed at the companies with the most environmental relevance and where violations are estimated to be more likely. In addition, the work planning is largely automated. The resulting capacity can be used for supervision. This algorithm is used to prioritise preventive inspections. Inspections are also carried out outside this model, for instance in response to nuisance complaints.
Considerations
The algorithm ensures that more information is taken into account when determining surveillance priorities. This makes choices more informed and objective. Supervisors have the freedom to carry out checks based on their own observations in deviation from the algorithm. Additionally, coordinators can override the algorithm by manually prioritising a check.
Human intervention
Supervisors check the highest-priority companies but feed experiences back to the coordinators, which may lead to adjustment of the algorithm. Additionally, the results are analysed and, based on the results of the analysis, the algorithm is improved. In addition, it is built into the work processes in various ways that deviation from the model is allowed.
Risk management
Create awareness among the users of the model of the model's (im)possibilities and there is peer-review with other environment departments using the same or a similar model.
Legal basis
Environment Act
Links to legal bases
Operations
Data
For compliance behaviour, we look at data from our own case system and data from Inspectieview (external source).
For environmental relevance, data from the company's own case system, the National Waste Notification Office (external source), the SCIOS register (external source), the KIWA register (external source), the Chamber of Commerce (external source), the BAG (external source) and the RVO energy-saving obligation (external source) are used.
The time since last inspection is extracted from the in-house case system.
Technical design
The time since the last inspection is simply extracted from its own case system. For compliance and environmental relevance, data that say something about compliance or environmental relevance are extracted from the above-mentioned data sources. These data are converted into variables, each of which has its own weighting factor. For instance, for compliance, the results of previous inspections are taken into account. For environmental relevance, the variables considered include energy consumption, waste issued and environmental category.