PedEstimate

Team Name: 
ChristopherWalkIn

Project Description

Starting a new restaurant is hard - there are so many things to consider:

  • Where do you get the best staff?
  • Have you organised appropriate insurance?
  • Is the menu going to be a hit?

But thankfully, choosing where to situate your new business just got easier with PedEstimate.

PedEstimate allows you to easily examine a range of potential locations to evaluate the amount of foot fall traffic in the vicinity. PedEstimate uses City of Melbourne pedestrian counter data and combines it with foursquare venue data and City of Melbourne land use data to build a predictive model of pedestrian foot traffic. It also enables you to easily see the surrounding drivers of this traffic such as office space, retail space, restaurants and residential accomodation.

Our simple to use web interface makes the process of site selection a quick and easy process. Checkout the demo below for more details.

For the nitty gritty, check out our github repo.​​​​​​​

Data Story

The core concept of PedEstimate is to use a predictive model to determine the likely footfall traffic based on a number of known predictors such as:

  • The amount of nearby office space (within 100, 200 and 300 meters)
  • The amount of nearby retail space
  • The number of competing dining establishments
  • The nearby employment density

Using cutting edge estimation techniques we are able to generate models which predict the pedestrian traffic at any location within the city.

Region: 
Used Datasets: 
Dataset Name: 
Building information
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
Data was used to determine the density of relevant businesses around the pedestrian count locations
Dataset Name: 
Pedestrian Counts
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
Data was used to build a model for pedestrian numbers based on business density in an area.
Dataset Name: 
Pedestrian Sensor Locations
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
Data was used to build a model for pedestrian numbers based on business density in an area.
Dataset Name: 
Census Of Land Use And Employment (CLUE) Small Areas
Publishing Organisation/Agency: 
City of Melbourne
Jurisdiction of Data: 
Local Government
How did you use this data in your entry?: 
Used for overlays of development density.
Event Location: 
Brisbane Official