Innovative noise modelling

This tool implements an open-source road-transport noise modelling approach based on the CNOSSOS-EU methodology. The model estimates residential noise exposure using harmonised spatial datasets and is designed to be applicable across different geographical contexts within the Equal-Life project. It focuses on modelling noise exposure at building façades, including maximum, minimum, and variability of exposure around dwellings.

Purpose of the tool:

The purpose of the tool is to provide a transparent and reproducible method for modelling road-traffic noise exposure using open or locally available data. The approach supports epidemiological and exposome studies by enabling the estimation of standard CNOSSOS-EU noise indicators and by capturing variability in noise levels around buildings, including loudest and quietest façades.The tool is designed to be applicable in multiple cohorts and countries, using harmonised methods and freely available software, and to complement other Equal-Life deliverables on traffic modelling and exposome metrics.

Classification of tool:

Model

Required skills:

• GIS

• Spatial data handling

• Basic use of PostgreSQL / PostGIS

Required input data:

• Road network with traffic flow estimates (major and minor roads)

• Building footprints with height attributes

• Land cover data

• Meteorological data (wind direction profiles and average temperature)

• Receptor locations (e.g. residential addresses or postcode centroids)

• Spatial datasets provided either by OpenStreetMap or local/national mapping agencies

Output

• Road-traffic noise exposure estimates at residential locations

• CNOSSOS-EU noise indicators:

  • Lday

  • Levening

  • Lnight

  • LAeq16

  • Lden

• Identification of:

  • Loudest façade (maximum exposure)

  • Quietest façade (minimum exposure)

• Spatial datasets suitable for integration into epidemiological analyses and exposome studies

Useful links

• Deliverable reference: