This dataset contains observed bike counts from sites across the city. These counts are often referred to "Super Tuesday" and is Australia’s biggest annual commuter bike count. The count also contains information for gender, and movement flow of people on bikes. There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.

This dataset contains observed bike counts from sites across the city. These counts are often referred to "Super Tuesday" and is Australia’s biggest annual commuter bike count. The count also contains information for gender, and movement flow of people on bikes. There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.

This dataset contains observed bike counts from sites across the city known as "Super Sunday". This is Australia’s biggest survey of recreational travel. Held annually in mid-November, the count looks at how runners, walkers, bike riders and other recreational users move around There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.

This dataset contains observed bike counts from sites across the city known as "Super Sunday". This is Australia’s biggest survey of recreational travel. Held annually in mid-November, the count looks at how runners, walkers, bike riders and other recreational users move around There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.

This dataset presents information and locations related to The Super Tuesday Bike Count event in Katherine for 2019. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers. The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. 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. Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report. Please note: Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.

This dataset presents information and locations related to The Super Tuesday Bike Count event in Palmerston for 2016. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers. The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. 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. Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report. Please note: Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.

This dataset presents information and locations related to The Super Tuesday Bike Count event in Tennant Creek for 2019. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers. The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. 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. Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report. Please note: Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.

The City has conducted twice yearly intersection cycle counts at various sites in peak hours (6-9 am and 4-7 pm) on one day in March and October every year, since March 2010 (excluding March 2018). This data shows the total number of cyclists at the site during peak hours as well as individual survey hours.

This dataset presents information and locations related to The Super Tuesday Bike Count event in Alice Springs for 2018. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers. The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. 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. Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report. Please note: Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.