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Environment
Dataset
This dataset contains location and location description for each set of microclimate sensor device installed throughout the city. Sensors are typically installed on a street pole and locations are selected based on relevant project criteria.
Since the beginning of the Microclimate Sensor Readings in 2019, some sensor devices have been relocated. This may be for various reasons such as construction works. Any changes to sensor locations are important to consider when analysing and interpreting historical data.
The site_id column can be used to merge the data with related dataset (linked below).
Tags climate environment air quality sensor sensors and 7 more
API Docs
Created
June 17 2020
Views
838

Environment
Dataset
This dataset contains environmental readings from microclimate sensors located across the city. The data is updated every hour in fifteen minute increments and can be used to determine variations in microclimate changes throughout the day. Microclimate data includes:
- Ambient air temperature
- Relative humidity
- Barometric pressure
- Particulate matter 2.5
- Particulate matter 10
- Average wind speed
The Microclimate Sensor Readings helps us to understand temperature, relative humidity, pressure, particulate matter 2.5, particulate matter 10, and average wind speed at different locations and different times of day to better inform decision-making and plan for the future.
Additional values are included in this dataset to provide an easier way to correlate the data with the official EPA Victoria data. These can be identified with the value 'epa' included in the type column. EPA Victoria report air quality readings in 1 hour and 24 hour averages . This includes; ambient air temperature readings in 1 hour average, relative humidity readings in 1 hour average, particulate matter 2.5 readings in 1 hour and 24 hour averages, and particulate matter 10 readings in 1 hour and 24 hour averages.
The site_id column can be used to merge the data with the Sensor Locations dataset which contain the sensor location. Any changes to sensor locations are important to consider when analysing and interpreting historical microclimate data.
Note this dataset may not contain a reading for every sensor for every 15 minutes as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site.
For the description of each sensor please see the sensor type attachment.
Tags sensor microclimate environment air quality sensors and 5 more
API Docs
Created
June 10 2020
Views
1,700

Transport
Dataset
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.
Tags sensors accessibility movement travel transport and 1 more
API Docs
Created
April 2 2020
Views
1,392

Environment
Dataset
This dataset contains historical readings for soil sensors within parks across the City of Melbourne. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the data. This dataset can be joined to the soil sensor locations dataset using the site id column. This dataset contains a large number of records, to download only a particular sensor's readings see our attached guide on how to filter data.
Different readings taken (based on unit column):
- %VWC: Volumetric water content is a numerical measure of soil moisture. It is simply the ratio of water volume to soil volume.
- ºC: Temperature in degrees celsius.
- µS/cm: Salinity is the measure of the concentration of dissolved (soluble) salts in water from all sources. (microseimens per centimetre)
Note this dataset may not contain a reading for every sensor for every hour as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site.
Tags soil sensor moisture salinity sensors and 1 more
API Docs
Created
April 1 2020
Views
176

Transport
Dataset
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.
Tags sensors accessibility movement travel transport and 1 more
API Docs
Created
March 31 2020
Views
380

Transport
Dataset
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.
Tags covid-19 sensors accessibility movement travel and 2 more
API Docs
Created
March 30 2020
Views
1,202

Environment
Dataset
This dataset contains the locations of where soil sensors have been deployed across the city. The readings are stored in the soil sensor readings dataset. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the readings dataset. The dataset joins to the soil sensor readings dataset by matching the site_id column.
Tags soil moisture sensor iot sensors and 1 more
API Docs
Created
March 26 2020
Views
73

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 locations and 3 more
API Docs
Created
August 6 2018
Views
5,658