TCCS - ACT Government Bike & Ride Locations

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This dataset outlines the location and details of bike & ride facilities within the ACT. These facilities enable users to use both cycling and public transport modes of travel. Further details on the types of bike and ride locations are available on the Transport Canberra website provided in the metadata.

TCCS - Pedestrian & Cycling Cordon Counts

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This dataset presents data collected as part of Pedal Power Cordon counts which are performed annually. Details relating to the methodology used in the collection of data at each location is described in PDF documents which are accessible in the attached files of the dataset. Data collection times of the columns are as follows: AM: 07:00 to 10:00 PM: 16:00 to 19:00 Total: Sum of AM and PM counts Note: Data prior to 2015 is excluded due to the use of different survey sites and collection methodology. Data for site G14 is only available for 2017 and 2018, and no methodology details are currently available for this location.

TCCS Data Capability - Passenger Journeys By Week By Ticket Type

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Provides a total number of passenger journeys by fiscal week on the Transport Canberra network, broken down by the ticket type used. Note, a journey may be comprised of multiple individual trips.

TCCS - Alightings By Stop By Hr

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Provides the average number of passenger alightings by day broken down by stop and hour for May 2017. Patronage is measured through unique alightings recorded in the MyWay ticketing system on scheduled services. This includes alightings by passengers with MyWay cards. This dataset excludes passenger alightings on dedicated school routes. Data was sourced from the MyWay ticketing system which records passenger validations and cash sales using the netBI business intelligence software.

Bicycle count surveys

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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.

TCCS Data Capability - BI OPENDATA.ASSET ONROADCYCLING

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Line data representing the spatial location of On-Road cycling within the ACT, as of July 2017.

TCCS - Boardings By Stop By Hour 2020 - 2021

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Provides the average number of passenger boardings by month broken down by stop and hour for July 2020 - June 2021. Patronage is measured through unique boardings recorded in the MyWay ticketing system on scheduled services. This includes boardings by passengers with MyWay cards and passengers who choose to purchase a ticket or transfer on board a vehicle. This dataset excludes passenger boardings on dedicated school routes. Data was sourced from the MyWay ticketing system which records passenger validations and cash sales using the netBI business intelligence software.

TCCS - Boardings by Stop by Hour 2018 - 2019

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Provides the number of passenger boardings by month broken down by stop and hour for July 2018 - June 2019. Patronage is measured through unique boardings recorded in the MyWay ticketing system on scheduled services. This includes boardings by passengers with MyWay cards and passengers who choose to purchase a ticket or transfer on board a vehicle. This dataset excludes passenger boardings on dedicated school routes. Data was sourced from the MyWay ticketing system which records passenger validations and cash sales using the netBI business intelligence software.

TCCS - Boardings by Stop by Hour 2019 - 2020

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Provides the number of passenger boardings by month broken down by stop and hour for July 2019 - June 2020. Patronage is measured through unique boardings recorded in the MyWay ticketing system on scheduled services. This includes boardings by passengers with MyWay cards and passengers who choose to purchase a ticket or transfer on board a vehicle. This dataset excludes passenger boardings on dedicated school routes. Data was sourced from the MyWay ticketing system which records passenger validations and cash sales using the netBI business intelligence software.