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?
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Team SMAD
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.
Primary dataset used for public spaces is the points of interest dataset : https://data.nsw.gov.au/data/dataset/nsw-points-of-interest-poi
LGA level crime data is accessed from NSW crime tool : http://crimetool.bocsar.nsw.gov.au/bocsar/
LGA boundaries and cadastral lot boundaries are sourced from NSW planning
Parking spaces are sources from Points of interest as well
Description of Use Dataset used as a proxy for number of households and their locations near a public space
Description of Use LGA boundaries are accessed from here to link public spaces to LGA crime stats
Description of Use Used to get different types of crime statistics at an LGA level
Description of Use Used to identify public spaces and their locations. Also used to identify parking spaces
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