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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
Updated
February 25 2021
Views
6,736

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 safemobility status directions locations pedestrian and 3 more
API Docs
Updated
February 24 2021
Views
5,667

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 pedestrian and 3 more
Updated
November 19 2019
Views
1,915