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.
Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. This dataset contains the locations of all of the bike share pods, the number of bikes located at each pod and the number of empty slots at the pod.
The source data is updated approximately every 15 minutes, then a script runs every 15 minutes to update this portal. So the data here may be as much as 30 minutes out of date.
For developers, two alternative APIs are available:
Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2015. It show business establishments with their trading name, industry (ANZSIC4) classification, number of dining seats (classified by indoor/outdoor), location and CLUE block and small area designation.
This dataset contains all the non parking sign panels, such as Stop signs, wayfinding, speed restrictions within the City of Melbourne. A sign panel is the part of the sign that display the information.
This dataset also contains information regarding disabled access, as referenced in the data by the use of DDA acronym.
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.
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.
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.
This dataset shows all of the streets and laneways within the City of Melbourne. This dataset is used in order for people to create their own map of the city and can be used to label the streets with their names down the centre of the road as is the standard for labelling streets on maps.