Data

Bicycle Network - Super Tuesday Commuter Bike Counts (Points) 2015

Australian Urban Research Infrastructure Network (AURIN)
Bicycle Network (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.aurin.org.au/dataset/5440c889-85a5-47cb-a4cd-57d3f353621d&rft.title=Bicycle Network - Super Tuesday Commuter Bike Counts (Points) 2015&rft.identifier=bn-bicycle-count-2015-na&rft.publisher=Australian Urban Research Infrastructure Network (AURIN)&rft.description=AURIN Download Manager - Download this dataset via the AURIN Download ManagerThis dataset contains cycling volume, movement flow and demographic data for the 'Super Tuesday' Commuter Bike Count event in September 2015. The counts are presented as individual points which relate to the location where the counts were visually undertaken by volunteers. The data covers 47 Local Government Areas (LGAs) across ACT, NSW, SA, TAS, VIC and WA.\n\n'Super Tuesday' is Australia's largest visual bike count, where volunteer counters observe and record cyclist numbers across Australia. The Bicycle Network data is collected within 97 councils and over 1,500 sites, the 'Super Counts' are Australia's largest cycling surveys of their kind.\n\nBicycle Network have used a consistent methodology across Australia to collect consistent figures on cycling participation. The data can be used to compliment other traffic surveys, such as automated systems by providing a broader picture of cycling trends at both a local and national scale.\n\nFor more information please visit [Bicycle Network Bike Counts](https://www.bicyclenetwork.com.au/our-services/counts/).\n\n Bicycle counts help track progress, and identify areas of improvement to inform active transport policy with the goal of making it easier for more people to choose active modes everyday. The data is available for researchers and policymakers to plan and build cycling infrastructure to promote increased cycling activity, and to gather longitudinal insights of cycling volumes and trends.\n\n AURIN has spatially enabled this dataset by creating geometries from the latitude and longitude columns with PostGIS.&rft.creator=Bicycle Network&rft.date=2023&rft.coverage=EPSG:4283 (GDA_1994)&rft.coverage=115.57,-42.9 151.9,-42.9 151.9,-31.85 115.57,-31.85 115.57,-42.9&rft_rights=© Bicycle Network 2015&rft_rights=Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Cycling&rft_subject=Green Transport&rft_subject=Transport&rft_subject=Transport Surveys&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Non-Commercial Licence view details
CC-BY-NC

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
https://creativecommons.org/licenses/by-nc/4.0/

© Bicycle Network 2015

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Brief description

This dataset contains cycling volume, movement flow and demographic data for the 'Super Tuesday' Commuter Bike Count event in September 2015. The counts are presented as individual points which relate to the location where the counts were visually undertaken by volunteers. The data covers 47 Local Government Areas (LGAs) across ACT, NSW, SA, TAS, VIC and WA.

'Super Tuesday' is Australia's largest visual bike count, where volunteer counters observe and record cyclist numbers across Australia. The Bicycle Network data is collected within 97 councils and over 1,500 sites, the 'Super Counts' are Australia's largest cycling surveys of their kind.

Bicycle Network have used a consistent methodology across Australia to collect consistent figures on cycling participation. The data can be used to compliment other traffic surveys, such as automated systems by providing a broader picture of cycling trends at both a local and national scale.

For more information please visit [Bicycle Network Bike Counts](https://www.bicyclenetwork.com.au/our-services/counts/).

Bicycle counts help track progress, and identify areas of improvement to inform active transport policy with the goal of making it easier for more people to choose active modes everyday. The data is available for researchers and policymakers to plan and build cycling infrastructure to promote increased cycling activity, and to gather longitudinal insights of cycling volumes and trends.

AURIN has spatially enabled this dataset by creating geometries from the latitude and longitude columns with PostGIS.

Full description

AURIN Download Manager - Download this dataset via the AURIN Download Manager

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115.57,-42.9 151.9,-42.9 151.9,-31.85 115.57,-31.85 115.57,-42.9

133.735,-37.375

text: EPSG:4283 (GDA_1994)

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