Year: 2024
Type: conference-paper
Abstract: Modelling the noise exposure for a given population is essential in order to assess its potential environmental health issues and to guide authorities in their urban planning or transportation policies.This paper introduces a new method for evaluating noise exposure of large-scale populations based on MATSim, an open-source agentbased transportation simulator.A list of agents, i.e. a synthetic population, is generated using available census and travel surveys, and are used in the transport simulation.The description of the agents includes their socio-professional profile.The resulting vehicle movements are then used in NoiseModelling, an opensource CNOSSOS-EU implementation for noise emission and propagation, to compute the noise levels every time step, typically every 15mn.Agents are then followed in their daily schedule and a noise level is assigned to them every time step.The result is a 24h noise level time history for every agent.Opportunities for analysis are discussed, such as the detailed population exposure assessment and the investigation of environmental justice issues.A case study is presented and some use cases are explored.Finally, a similar coupling for air pollutants (CO2, NOx, ...) using the HBEFA emission database and the SIRANE ---------
Language: English
Topic: Noise Effects and Management
Subfield: Acoustics and Ultrasonics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4391028451