Community.Ly: Better, Activated Public Spaces

Project Info

Team SMAD thumbnail

Team Members

Sai Valipireddy , Shub , Amit and 1 other member with an unpublished profile.

Project Description

With communityly, we provide a new way of looking at our public spaces.
It provides advanced analytics to monitor aspects such as accessibility of public spaces, Crime rates within the community and their relationship with the types of available public spaces in the region.

It sources public places data from NSW points of interest, it sources the crime statistics data from NSW crime tool at an LGA level and also the LGA boundaries from ABS datasets.

CommunityLy aggregates the public places within each LGA and establishes any significant relationship between types and number of public spaces with different types of crime statistics.
For example, some of the interesting observations surfaced are:
1. Number of Race courses in a region seemed to have a positive correlation with assault rates in the region,
2. Number of training tracks in a region had a significant negative correlation with the number of homicides in the region.

Public places, as analysed can have a significant impact on the community and it's health. But making sure these public spaces are accessible to the community is also an important aspect.
CommunityLy sources the data of household boundaries from cadastral lots provided by NSW planning. Using the information of household boundaries, the app links each household to it's nearest public place such as Parks, Picnic area, Sports centres, etc.
With this we can get an estimation of the number of households for which a particular public space is native so to speak. This also shows us the potential visitation each of these public spaces can get.

One of the important aspects of accessibility is availability of parking spaces next to any public space. From NSW points of interest data, communityly identifies all the parking spaces within walking distance of each of the public spaces. Comparing this against the number of households/visitations would provide insights on the accessibility to parking attribute of each of the public spaces.

For example, we have a sports centre here in Sydney region, the number of households to which the Sports centre is native is all of these. And if we look at the nearest parking spaces to this Sports centre, we can see that there could be a lack of accessibility to this sports centre.

Similarly other aspects of accessibility to all public spaces can be viewed through CommunityLy and strategies to improve can be laid out.

Data Story

Primary dataset used for public spaces is the points of interest dataset :
LGA level crime data is accessed from NSW crime tool :
LGA boundaries and cadastral lot boundaries are sourced from NSW planning
Parking spaces are sources from Points of interest as well

Evidence of Work


Team DataSets

Cadastral boundaries

Description of Use Dataset used as a proxy for number of households and their locations near a public space

Data Set

LGA level boundaries

Description of Use LGA boundaries are accessed from here to link public spaces to LGA crime stats

Data Set

Crime statistics at LGA level

Description of Use Used to get different types of crime statistics at an LGA level

Data Set

NSW Points of Interest (POI)

Description of Use Used to identify public spaces and their locations. Also used to identify parking spaces

Data Set

Challenge Entries

BETTER Public Spaces

How do we help ensure everyone feels welcome and safe in public spaces (day and night) regardless of age, gender, ethnicity or identity?

Go to Challenge | 14 teams have entered this challenge.

Create a solution to a customer need using the ABS Data API

We are excited to provide innovators with machine to machine access to ABS Data and see what exciting customer solutions can be created. Here is a chance to draw in ABS Data and answer an important question through visualisation, mapping or even blending with other data sources. Create a solution to a customer need using data drawn from the ABS Data API.

Eligibility: Teams are encouraged to use datasets from a variety of sources, but at least one must be drawn from the ABS Data API.

Go to Challenge | 20 teams have entered this challenge.

ACTIVATED Public Spaces

What makes a public space vibrant, walkable, and encourages people to dwell longer at different times of the day or night, and throughout the year?

Go to Challenge | 17 teams have entered this challenge.


How do we build confidence in the community to use public spaces to support economic, social, cultural and environmental recovery, whether in response to Covid-19, or other disasters such as recent bushfires and floods?

Go to Challenge | 12 teams have entered this challenge.