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

This dataset provides the shape file of physical paths taken by vehicles in the ACT. This file is generated using the GTFS data as of July 2020. Please refer to latest GTFS data published at https://www.transport.act.gov.au/contact-us/information-for-developers

This dataset represents information which is contained within the Google Transit Feed Service - Realtime (GTFSR) of the ACT Capital Metro light rail service.

Further information on the technical details of the metadata for this dataset can be found in the linked data dictionary.

This dataset is a historical archive of information which is contained within Trip Update section of the Google Transit Feed Service - Realtime (GTFSR) of the ACT Capital Metro light rail service.

Further information on the technical details of the metadata for this dataset can be found in the attached/linked data dictionary.

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.

This dataset provides the total numbers of vehicles registered in the ACT as at the first day of each month by their motive power. Motive power in this case indicates the fuel source of the vehicle. These data are used to track the uptake of Zero Emissions Vehicles in the ACT.

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 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 Java Script Open Notation (JSON) Feed and ArcGIS Online map presents the unplanned road 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)
Roads closed (Free text field string)
Reason for road 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 represents information which is contained within the Google Transit Feed Service - Realtime (GTFSR) of the ACT Capital Metro light rail service.

Further information on the technical details of the metadata for this dataset can be found in the linked data dictionary.