SweetSpot

Team Name: 
Four Planners and a Panda

SweetSpot is a data visualisation tool which combines employment, building, residential and traffic data in Melbourne to determine promising locations to start or expand a business.

It allows users to interrogate a wide range of property, landuse and demographic datasets at an individual building level, with the aim of helping users suitably locate a business.  The tool allows for the interrogation of:

- Building predominant use classification and current traders, this allows users to see who is currently trading in every building within the City of Melbourne, and quickly determine where their competitors are

- Building physical accessibility, which is a ranking administered by the City of Melbourne, based on ramp and stair access into each building. This would be useful in the case of a user who wishes to open a medical facility.

- Distribution of employment by industry (at city block level) across the City of Melbourne. This allows users to target specific sectors of the city based on the type of people who work there.

- Distribution of other traders by type (at building level), for example cafes and restaurants. Certain businesses would benefit from closer or further proximity from competitors and clients, and this tool allows users to identify such locations.

- Daily traffic volumes by individual road to help users gauge street exposure

- A Public Transport accessibility by building to help users identify premises which are easier for customers to get to. An index has been calculated for every individual building across the Council area, based on its proximity to train, bus and tram stops, as well as the service levels provided.

- Pedestrian counts by hour, across the day, to assist users in determing ideal trading hours

 

 

Region: 
Used Datasets: 
Dataset Name: 
Property Boundaries
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
This dataset was used to visualise the individual building sites within the City of Melbourne, and house a number of other attributes made available by the Council at a building level, including accessibility and traders.
Dataset Name: 
Buliding information 2015 - map
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
We merged the accessibility, predominant use category and construction information with the property boundaries layer for easier visualisation.
Dataset Name: 
Traffic Volumes for Freeways and Arterial Roads
Publishing Organisation/Agency: 
VicRoads
Jurisdiction of Data: 
Victorian Government
How did you use this data in your entry?: 
Visualised the daily traffic volumes to help users gauge their potential site's street exposure.
Dataset Name: 
Employment per industry for blocks 2015
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
This dataset allowed us to visualise the distribution of employment category across the City of Melbourne.
Dataset Name: 
Business establishment trading name and industry classification 2015 map
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
We used this dataset to visualise the number of traders by category at an individual building level (when merged with the other building information datasets). We also made the traders by building available for interrogation.
Dataset Name: 
PTV Timetable and Geographic Information - GTFS
Publishing Organisation/Agency: 
Public Transport Victoria
Jurisdiction of Data: 
Victorian Government
How did you use this data in your entry?: 
We used the location of stops and number of services by stop to create a public transport accessibility index by individual building. We calculated the number of services divided by the distance squared between every single building and train/bus/stop pair in the City of Melbourne to derive this.
Dataset Name: 
Pedestrian Counts
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
We charted the number of pedestrians at each sensor location by hour of the day, as averaged over the month of June 2015.
Event Location: 
Melbourne