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Article Dans Une Revue Transportation Research : Part D, Transport and Environment Année : 2021

Open-source modeling chain for the dynamic assessment of road traffic noise exposure

Résumé

In light of the growing concern about the adverse effects of noise pollution on health, a better understanding is needed of the relationships between urban transport and individual exposure. To improve the scientific community's modeling capabilities specific to this issue, we are proposing a noise exposure modeling framework that uses agent-based activity, multi-agent travel simulation and a European standardized noise emission and propagation model. Based on two open source software packages, MATSim and NoiseModelling, this framework aims to simulate the spatiotemporal distributions of daily individual activity and road traffic noise. The proposed approach makes it possible to use all the tools and methods proposed in the NoiseModelling software by importing MATSim outputs, therefore, taking full advantage of the development work carried out within the two communities. As such, it enables both characterizing the individual exposure to road traffic-related noise and investigating noise exposure inequality problems based on the attributes of individuals and their activities.
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Dates et versions

hal-03203833 , version 1 (21-04-2021)

Identifiants

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Valentin Le Bescond, Arnaud Can, Pierre Aumond, Pascal Gastineau. Open-source modeling chain for the dynamic assessment of road traffic noise exposure. Transportation Research : Part D, Transport and Environment, 2021, 94, 38p. ⟨10.1016/j.trd.2021.102793⟩. ⟨hal-03203833⟩
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