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Transport
Dataset
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.
Tags safemobility recreational travel super sunday travel infrastructure and 2 more
API Docs
Created
February 19 2019
Views
1,518

Events
Dataset
This dataset contains active and planned activities across the City of Melbourne area. Activities include city works (such as proposed road closures, footpath works or reserved parking permits) and event bookings. The information is derived from permits which are issued by City of Melbourne.
Each activity includes geo-spatial information to indicate the general area of the activity. The spatial information is not indicative of the activity size as the activity may only take up a small portion of the area for the entry.
The start and end date fields indicate that the event/activity is expected to occur within this time range. The actual activity may be active for significantly shorter duration than the start and end dates.
Additional column value information can be found in the attachment (.xlsx) below.
Tags disruption events activities activity safemobility and 3 more
API Docs
Created
February 18 2019
Views
2,042

Transport
Dataset
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.
Tags safemobility travel infrastructure transport super tuesday and 1 more
API Docs
Created
February 17 2019
Views
1,313

Transport
File or Document
This dataset contains a line network representing pedestrian walking routes throughout the City of Melbourne.
It features links to additional land subdivisions and incorporates additional elements/attributes. The network has been created with the intent to assist interested stakeholder in multiple modelling tasks including catchment analysis and route analysis.
The network emulates pedestrian behaviour, by allowing free movement in low traffic areas while penalising busy crossings with traffic lights.
The network also connects to the City of Melbourne property layer through property centroids and connectors for all the different properties in the dataset.
The download is a zip file containing compressed .json files. Please see the metadata attached for further information.
Tags safemobility route analysis catchment analysis pedestrian behaviour traffic flow and 3 more
Created
February 14 2019
Views
1,913

Transport
File or Document
This dataset contains a simplified network representation of bike paths across City of Melbourne.
The dataset can be used to create a digital bicycle network with route modelling capabilities that integrated existing bicycle infrastructure. The network has been created to be used with ArcGIS network analyst. The resulting network was connected to the City of Melbourne property layer through centroids created for this project:
The network can assist in multiple modelling tasks including catchment analysis and route analysis. The download is a zip file containing compressed .json files
Please see the metadata attached for further information.
Tags safemobility route analysis catchment analysis bicycle infrastructure route modelling and 2 more
Created
February 6 2019
Views
1,302

Transport
Dataset
Current issue 23/09/2020
Please note: Sensors 67, 68 and 69 are showing duplicate records. We are currently working on a fix to resolve this.
This dataset contains minute by minute directional pedestrian counts for the last hour from pedestrian sensor devices located across the city. The data is updated every 15 minutes and can be used to determine variations in pedestrian activity throughout the day.

The sensor_id column can be used to merge the data with the Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data.

Note this dataset may not contain a reading for every sensor for every minute as sensor devices only create a record when one or more pedestrians have passed underneath the sensor.

The Pedestrian Counting System helps us to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.

Related datasets:
Pedestrian Counting System – 2009 to Present (counts per hour).
Pedestrian Counting System - Sensor Locations

Tags pedestrian sensors foot traffic traffic flow safemobility
API Docs
Created
October 19 2018
Views
6,716

Transport
Dataset
This dataset show the historical Melbourne Bike Share docks. This program came to an end in Novemer 2019.
Contains the bike share dock locations that were deployed across Melbourne as part of the Melbourne Bike Share Program.
Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. It allows commuters to hire a bike from a dock location and return it to another dock location in the city. This dataset contains the bike share dock locations and capacity across the city.
This dataset can be joined to the bike share data feed using the column station_id.
Tags safemobility sensors live transport sensor and 5 more
API Docs
Created
October 15 2018
Views
1,616

Transport
Dataset
This dataset contains status, location and directional information for each pedestrian sensor device installed throughout the city. The sensor_id column can be used to merge the data with related datasets.

Since the inauguration of the Pedestrian Counting System in 2009, some sensor devices have been removed or relocated. This may be for various reasons such as construction works. Others may be inactive due to a temporary issue. This is detailed in the notes column. Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data.

Sensors are typically installed under an awning or on a street pole to form a counting zone on the footpath below. They record bi-directional pedestrian movements through the zone, 24 hours, every day. Locations are selected based on three criteria – retail and event activity, regular pedestrian use and the egress and entry flow to these areas. The system records movements, not images, so no individual information is collected. New sensor devices have been recently installed, with more to come in the near future as part of the city’s commitment to expanding the system.

Status field:
This field indicates if the sensor is expected to be active and is manually maintained as needed. A pedestrian sensor with an active value ('A') may be unavailable in some situations.

A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.

Related datasets:
Pedestrian Counting System – 2009 to Present (counts per hour)
Pedestrian Counting System – Past Hour (counts per minute)

Tags pedestrian sensors foot traffic traffic flow safemobility and 3 more
API Docs
Created
August 6 2018
Views
5,658

Transport
Map
This data contains locations of train stations and their accessibility information, such as hearing aid information.
Tags safemobility transport innovation pids aids and 4 more
Created
February 12 2018
Views
3,907

City Council
Dataset
This dataset contains information such as location, lighting type and wattage of feature lighting across City of Melbourne.
Feature lights are usually found around high profile areas of the city.
Tags lighting feature lighting assets safemobility
API Docs
Created
January 2 2018
Views
1,340