110 Noise_Exposure_and_Health

Project metadata
Project Title Noise_Exposure_and_Health
Owners Geoffrey Morgan, National Noise and Health Collaboration
Project Abstract This is a national collaboration with USyd, UWA, ACU, UNSW, ISGlobal and Ben Hinze (ambient.com). Some of these datasets are created by Ben Hinze to model noise using road geometry, cadastral boundaries, and mesh block census data.

110.1 Morley_Minor_Roads

Accessibility Provision Status Licence
NA Provided No licence
Metadata fields
Short Name Morley_Minor_Roads
Title Morley_Minor_Roads
Creators David Morley
Contact Email
Abstract

The main aim of this study was to try and improve noise exposure estimates for people living in residential areas. Although a good coverage of traffic counts is available for major roads, minor roads are often assigned a constant daily vehicle flow. This is a problem for exposure estimates as noise predictions are reliant on accurate traffic flow data. Here, we attempt to use network routing (similar to SatNav applications) to identify which minor roads are most commonly used within the road network and assign an importance index accordingly. This can then be used to relate to traffic levels.

Reference: Morley, D.W., & Gulliver, J. (2016). Methods to improve traffic flow and noise exposure estimation on minor roads. Environmental Pollution. http://dx.doi.org/10.1016/j.envpol.2016.06.042
Study Extent
Associated Parties
Repository Path ResearchProjects_CAR/Noise_Exposure_and_Health/Morley_Minor_Roads
Repository Link https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Noise_Exposure_and_Health/Morley_Minor_Roads
External Link
Recommended Citation

Morley, D. (2017): Minor Roads: A method to estimate the importance of minor roads in terms of traffic flow. CAR. (Dataset). https://github.com/dwmorley/Minor_Roads [accessed on 2023-11-28]

110.2 NOISE_S1_bankstown_preliminary_results

Accessibility Provision Status Licence
Restricted Published other
Metadata fields
Short Name NOISE_S1_bankstown_preliminary_results
Title NOISE_S1_bankstown_preliminary_results
Creators Ben Hinze
Contact Email
Abstract In preliminary modelling toward a noise map for Sydney, Ben Hinze created a model including 2m ground contours, road, rail and buildings. The geometry for road and rail lines was based on the centreline of these roads / rail with arbitrary values based on road or rail classification. Eg. 75 dB for freeways and stepping down in 5 dB increments for each drop in road classification. For buildings, the cadastral boundaries that were residential and created a polygon within a few meters or so away from the cadastral line. Then the 2011 Mesh Block and Census data were used. A population estimate was attached to each building based on the volume of the building (ie. building footprint area * the height), as to assign a greater number of people to larger, taller buildings (eg. unit blocks) compared to single dwellings. Then a noise level was calculated for each building for the road lines. These noise levels are based on the noise levels around each building facade and provide not only the maximum noise level at each building, but also an average and minimum noise levels around each building, acknowledging not everyone lives in the loudest room of each house. This data is a based on a crude model with the greatest limitation being the estimated building facade information based on block size and a nominal setback distance to define the footprint.
Study Extent
Associated Parties
Repository Path
Repository Link https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Noise_Exposure_and_Health
External Link
Recommended Citation Hinze, B. (2019): NOISE S1 Bankstown preliminary results. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Noise_Exposure_and_Health

110.3 Traffic_Noise_Canterbury_Earlwood_and_Hurlstone_Park

Accessibility Provision Status Licence
Restricted Published CC BY-SA 4.0
Metadata fields
Short Name Traffic_Noise_Canterbury_Earlwood_and_Hurlstone_Park
Title Traffic_Noise_Canterbury_Earlwood_and_Hurlstone_Park
Creators Ben Hinze
Contact Email
Abstract

These data were created by Ben Hinze as part of his work to create a road, rail and aircraft noise model for Australia. For roads, inputs based from mobile device probe counts include traffic volumes, speeds and HGV% for the day, evening and night time periods for all roads including local access streets. Noise barriers as identified by the NSW Department of Roads and Maritime Services also feature. Buildings were sourced from PSMA Australia (release date May 2019), with all features overlaid on to a terrain developed from the Shuttle Radar Topography Mission.

Noise levels in the form of an LAeq were calculated using the German standard RLS90 for the day (7am to 7pm), evening (7pm to 11pm) and night (11pm to 7am) time periods.

At this stage, no verification has been made with this dataset and the German standard. This process is currently underway.

Then a noise level was calculated for each facade of each storey for each building for the road lines. These noise levels are based on the noise levels around each building facade and provide not only the maximum noise level at each building, but also an average and minimum noise levels around each building, acknowledging not everyone lives in the loudest room of each house.

These data also include the height and number of floors in the buildings.
Study Extent
Associated Parties
Repository Path
Repository Link https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Noise_Exposure_and_Health/Traffic_Noise_Canterbury_Earlwood_and_Hurlstone_Park
External Link
Recommended Citation Hinze, B. (2019): Traffic noise for the Sydney suburbs of Canterbury, Earlwood and Hurlstone Park. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Noise_Exposure_and_Health/Traffic_Noise_Canterbury_Earlwood_and_Hurlstone_Park