Risk model prioritising environmental monitoring

The Valley Environment Service

Risk prioritisation scores companies based on objective compliance behaviour, environmental relevance and time lapse since last inspection. The higher a company is on the list, the higher the estimated probability of violations and the impact of any incidents on people and the environment.

Last change on 3rd of May 2024, at 8:06 (CET) | Publication Standard 1.0

• Publication category: Other algorithms
• Impact assessment: Field not filled in.
• Status: In use

General information

Theme

• Nature and Environment
• Public Order and Safety
• Space and Infrastructure

Begin date

2022-01

Contact information

[e-mail]

Link to publication website

https://www.oddevallei.nl/

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

Grondslag toezicht en handhaving: https://wetten.overheid.nl/BWBR0037885/2024-01-01/0#Hoofdstuk18

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.

External provider

Internally developed