Caretaker Conventions

This dataset contains the shape file of all bus stops as per the GTFS data feed released during July 2020. Please refer to latest GTFS file at https://www.transport.act.gov.au/contact-us/information-for-developers

This data set provides a rate of 'trips' taken by individuals sampled in obtaining data for the ACT Household Travel Survey. The data is categorised based on the purpose of the trip.
A trip is defined as the travel between two main activities, where a stop may constitute a change in transport mode. As an example: driving from home to a park and ride facility, then catching a bus to an interchange, then walking to a shop to purchase an item and finally walking to work is comprised of 4 ‘stops’ and two ‘trips’.
Note: This data represents travel and activity on an average weekday.

This data set provides a count and percentage of the age ranges of individuals sampled in obtaining data for the ACT Household Travel Survey.

This data set provides a count and percentage of trips categorised by the purpose of the trip. This data is from individuals sampled in obtaining data for the ACT Household Travel Survey.

A trip is defined as the travel between two main activities, where a stop may constitute a change in transport mode. As an example: driving from home to a park and ride facility, then catching a bus to an interchange, then walking to a shop to purchase an item and finally walking to work is comprised of 4 ‘stops’ and two ‘trips’.

Note: This data represents travel and activity on an average weekday.

This dataset contains # of trips planned using Transport Canberra's journey planner web app at https://www.transport.act.gov.au/. Transport Canberra's journey planner was launched on 19th Dec 2018.

This data set provides a count and percentage of the number of stops categorised by method of transport. This data is obtained from individuals sampled in obtaining data for the ACT Household Travel Survey.

A trip is defined as the travel between two main activities, where a stop may constitute a change in transport mode. As an example: driving from home to a park and ride facility, then catching a bus to an interchange, then walking to a shop to purchase an item and finally walking to work is comprised of 4 ‘stops’ and two ‘trips’.

Note: This data represents travel and activity on an average weekday.

This case study document provides information on how HERE Technologies is using our open datasets and articulates citizen benefits.

This case study document provides information on how TomTom is using our open datasets and articulates citizen benefits.

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.

Provides the average number of passenger alightings by day broken down by stop and quarter hour for May 2017. Patronage is a 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 netBI business intelligence software.