Giving you up-to-date insights about where people are moving most to address the sector’s gap in knowing where and when communities come together.
What are the relative usage levels of community facilities and active spaces?
What does good look like in terms of usage for different types of facilities and spaces?
Are the facilities in our priority communities being used, and do we have the correct mix of facilities and active spaces to meet local needs?
Where would future facilities and spaces work well? Are we managing capacity effectively now?
Movement data is the world’s largest privacy-forward data set de-identified and aggregated from 30+ billion daily location updates streaming from 600M monthly active mobile users, bringing the data sourced together to show relative footfall and vehicle movement by the hour, day and month within a 100x100 metre grid (with national coverage) - these grids can therefore be associated with any facility and space.
Even fully anonymous data can be re-identified if the location signals are analyzed at a fine enough granularity without aggregation. To minimize the risk of data misuse, Mapbox applies minimum privacy thresholds and small amounts of random noise to low-activity tiles. This intelligent privacy mechanism maximizes data coverage, minimizes risk of re-identifying activity patterns, and guarantees no statistical impact on the resulting analysis.
The data captured is then normalised into a Mapbox proprietary ‘activity index’ that reflects the level of activity in the specified time span and geographic region. The index is provided as a decimal value ranging from 0 to 1 with a normalisation process applied to smooth out any effects of extreme outlier activity which reflects the level of activity in the time window and spatial regions defined (100x100m grids).
Beyond the extensive local data on organised community sport, recreation and leisure already in SportsEye, our network can now use this data to better understand non-traditional and casual usage levels of their spaces and compare activity levels to other areas.
As a leader in using data to drive evidence-based decision making, our network has an additional data set to:
Every site within the NID has been assigned a corresponding movement data quadkey (100x100m). Users can add any NID site to their Movement Monitoring list using the new icon in the NID site toolbar.
Movement areas which are not NID sites, such as high street movement and public transport hubs, can also be monitored using the Quadkey Collection functionality.
A raw export of the average activity index across each collection is available in CSV format to allow customers to use this data for their own purposes. This can be downloaded by clicking the 'download' button in the Movement Monitoring section.
Set-up your own specific locations to monitor movement over time and have these seamlessly visualised into your SportsEye subscription to continually monitor by hour, day and month over time.
Watch the explainer video below for a glimpse of Movement Data inside SportsEye.
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