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Environment
Dataset
Tree canopy within City of Melbourne mapped using 2018 aerial photos and LiDAR. The canopy polygons represent actual tree canopy extents on public property (land managed by the City of Melbourne) across the city. The data is considered accurate for 2018. Changes in tree canopy are expected to have occurred since that time.
Tree canopy cover is mapped by the City of Melbourne annually.
Tags greening plant tree urbanforest vegetation and 1 more
API Docs
Created
February 19 2019
Views
1,003

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 accessibility activities activity bookings cityreactivation and 4 more
API Docs
Created
February 18 2019
Views
2,778

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 bike count infrastructure safemobility super tuesday transport and 1 more
API Docs
Created
February 17 2019
Views
1,855

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 catchment analysis foot traffic network pedestrian pedestrian behaviour and 3 more
Created
February 14 2019
Views
2,591

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 bicycle bicycle infrastructure catchment analysis network route analysis and 2 more
Created
February 6 2019
Views
1,879

Environment
External Link
A terrain surface dataset that represents the height value of all natural and built features of the surface of the city. Each pixel within the image contains an elevation value in accordance with the Australian Height Datum (AHD).
The data has been captured in May 2018 as GeoTiff files, and covers the entire municipality.
A KML tile index file can be found in the attachments to indicate the location of each tile, along with a sample image.
Capture Information:
Capture Pixel Resolution: 0.1 metres
Limitations:
Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.
Tags 3d analysis buildings dsm environment and 8 more
Created
January 24 2019
Views
4,322

Environment
Dataset
This dataset contains survey data for bird species across various river and wetland locations in the City of Melbourne. Bird transect surveys were conducted by Ecology Australia at the following locations: Dynon Road, West Melbourne, Wildlife Sanctuary (1), Dynon Road, West Melbourne, Tidal Drain (2), Moonee Ponds Creek lower catchment near Racecourse Road, Kensington and Dynon Road, West Melbourne (3), Maribyrnong River near Newells Paddock and Dynon Road, West Melbourne (4), Royal Park Oak Street Wetland (5), and Stony Creek Backwash, Footscray (6). Surveys were undertaken during daylight hours and were repeated on various dates throughout February and March 2018. Bird surveys were conducted by completing transects along the waterbodies and identifying bird species and numbers. These surveys were undertaken to primarily track bird species richness at Site (1) with Site (3) existing as a reference site with comparable habitat characteristics.
This bird survey dataset includes the bird’s common name, scientific name, the corresponding Victorian Biodiversity Atlas Code, the date the survey was conducted, and the location of the survey (including the latitude and longitude). The Victorian Biodiversity Atlas (VBA) is managed by the Department of Environment, Land, Water and Planning (DELWP) and provides a list of species observations in Victoria. Each species has an identification ‘code’ number.
Please get in contact with the Urban Forest and Ecology Team (nature@melbourne.vic.gov.au) if you wish to view the full report by Ecology Australia or if you have any questions about the dataset.
Tags biodiversity birds nature rivers urban ecology and 1 more
API Docs
Created
January 8 2019
Views
1,438

Business
Dataset
Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2020. It shows floor space (in square meters) per city (CLUE) block, classified by their CLUE industry (from ANZSIC1) and small area allocation.
The City of Melbourne creates unique codes to account for floor space allocated to residential space, vacant space, open space and common area. These unique codes are not included within ANZSIC 1 classification and therefore these floor areas are not included in this data set.
This data set has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row and column totals refer to the true total, including those suppressed cells.
Non-confidentialised data may be made available subject to a data supply agreement. For more information contact clue@melbourne.vic.gov.au
For more information about CLUE see http://www.melbourne.vic.gov.au/clue
For more information about the ANZSIC industry classification system see http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0
Tags anzsic clue clue blocks floor space industry
API Docs
Created
November 29 2018
Views
521

Business
Dataset
Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2020. It shows floor space (in square meters) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation.
The City of Melbourne creates unique codes to account for floor space allocated to residential space, vacant space, open space and common area. These unique codes are not included within ANZSIC 1 classification and therefore these floor areas are not included in this data set.
This data set has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row and column totals refer to the true total, including those suppressed cells.
Non-confidentialised data may be made available subject to a data supply agreement. For more information contact clue@melbourne.vic.gov.au
For more information about CLUE see http://www.melbourne.vic.gov.au/clue
For more information about the ANZSIC industry classification system see http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0
Tags anzsic clue clue 2018 clue blocks floor space and 1 more
API Docs
Created
November 19 2018
Views
412

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
8,506