Caretaker Conventions

This shape file contains the location of Bluetooth Detection (sniffer) that are installed in the ACT region for monitoring the traffic flow.

This data set is a record of unplanned road closures within the ACT. This data contains all information recorded since the implementation of an ESRI Survey 123 solution to handle Temporary Traffic Management (TTM) Applications.

This data set provides a count and percentage of gross weekly income ranges of households sampled in obtaining data for the ACT Household Travel Survey.

This Java Script Open Notation (JSON) Feed and ArcGIS Online map presents the unplanned footpath closures within the ACT in real-time.

The fields of the JSON string include:

Object ID (Numeric field)
Global ID (Alpha-numeric field)
Project title (Free text field string)
Type (Selected from: light rail, special event, road works, emergency, utilities, telecommunications, building construction, ActewAGL, NBN, charitable organisation, inclement weather, other)
Describe activity (Free text field string required if "other" type selected)
Footpaths closed (Free text field string)
Reason for footpath closure (Free text field string)
Closure start time (Unix Format - see data dictionary for syntax)
Closure end time (Unix Format - see data dictionary for syntax)
Geometry (X,Y longitude, latitude format)

More information regarding the syntax for querying this API can be found in the linked data dictionary.

This dataset contains information of areas that are classified as community pavements in the ACT.

This dataset is up to date as of August 2019.

This data compliments the Footpaths in the ACT 2019 dataset available at https://www.data.act.gov.au/Transport/Footpaths-in-the-ACT-2019/ee7d-h7nm

This data set provides the average trip distance (in km) categorised by the method of transport used and the time of day. 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. The main method of travel across a trip is used to classify trip types. The time of day is based on the mid-point of the start and arrival time of the trip.
AM Peak: 8-9AM, PM Peak: 5-6PM

The Average Passenger Boardings By Route 2015-16 for weekdays on the ACTION network

This dataset gives information about locations of Ticket Vending Machines (TVM) in Canberra. These machines are used to buy a paper ticket or top-up MyWay cards. These machines accept credit card & cash as denoted inside the dataset for each TVM

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

This data set provides the number of trips per person 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. The time of day is based on the mid-point of the start and arrival time of the trip.
AM Peak: 8-9AM, PM Peak: 5-6PM