Data

Traffic-Induced Noise Pollution Site Audit Dataset: Melbourne, Australia

Swinburne University of Technology
David O'Reilly (Aggregated by)
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Full description

This dataset contains field measurements of traffic-induced noise pollution [TINP] collected to investigate the acoustic environment experienced by pedestrians in inner-urban Melbourne, Australia.

The dataset was developed as part of research examining receiver-centric traffic-noise annoyance and its effects on pedestrian Walk-Quality. It provides the empirical site-audit observations used to calculate psychoacoustic annoyance [PA], train and test a Random Forest predictive model, and support subsequent spatial modelling of pedestrian noise exposure.

Notes

Users: Any redistribution should refer to attached README file and the associated variable definitions to ensure the measurement context and limitations remain clear.

Issued: 14 07 2025

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Subjects
GIS | Melbourne, Australia | Random Forest | TINP | Traffic noise | Walk-Quality | active transport | environmental noise | machine learning | pedestrian | psychoacoustic annoyance | psychoacoustics | road traffic | soundscape | traffic-induced noise pollution | urban design |

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Identifiers
ACN 633 798 857