The City of Melbourne has installed in-ground parking bay sensors in most CBD parking bays. These sensors record when a vehicle arrives and when it departs. Each record also includes the parking restriction for the bay and whether the vehicle has overstayed that restriction. An event will include if a vehicle was present or not which can determine stay time and vacancy time.

The City of Melbourne has installed in-ground parking bay sensors in most CBD parking bays. These sensors record when a vehicle arrives and when it departs. Each record also includes the parking restriction for the bay and whether the vehicle has overstayed that restriction. An event will include if a vehicle was present or not which can determine stay time and vacancy time.

The City of Melbourne has installed in-ground parking bay sensors in most CBD parking bays. These sensors record when a vehicle arrives and when it departs. Each record also includes the parking restriction for the bay and whether the vehicle has overstayed that restriction. This is the data for the period of Jan 1st 2020 to May 2020. This dataset was released to support customer requests to understand the impact of Covid-19 on city movement.

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.

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.

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.

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.

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

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.

This dataset contains the historical dock readings from sensors in Melbourne's Bike Share. 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.