A visual representation of where the hotspots are in your local area. This provides a clear insight into the most popular and heavily used areas locally using maps, satellite and Google Street View.
Understand how the organisation of local areas and tread / event-led changes impact how people use centres. Find how density relates to transport links, marketing activities and events with time-stamped mobility data.
Mobility flow and density should reflect where visitors spend most of their time within local areas. As mobility data has no infrastructure limitations, showing where visitors are observed visually and in detail allows for rich, visual analysis of the data.
Mobility flow maps are a detailed visual representation of where visitors spend time within an area. Use flow maps to differentiate one end of a street from another. Find out what attracts visitors to features within local areas.
All of our outputs are available on a daily basis, allowing users to detect change in a highly granular basis. This daily data is published via our products with just a 48hr lag behind realtime.
There are no real constraints to how fine or how broad a measurement area, or point, can be. Customers provide points around which to measure density, or polygons representing their areas of interest to use as inputs.
There is no limit to the number of locations available for measurement within our products. Our pre-existing data coverage exists across the whole of each geographic market we serve. This flexibility allows us to exactly meet your measurement requirements.
Mobility flow maps show how visitor activity is distributed across an area, with colour shading to represent areas of higher and lower density. The map overlay is comprised of 10m x 10m grids which protects privacy while providing fine-grained, useful insight.
Huq’s mobility data goes back as far as 2016, although most products provide footfall data history starting in 2019. Density map history for your selected locations will be present within your product as soon as it is set up.
Mobility data allows researchers to determine where visitors travelled from, what they did / how long they spent there, and where they went next. It also provides a measure of the speed at which visitors travel. These qualities enable us to differentiate between visits and transits to an area within the metrics that we produce.
We associate profiles within our mobility data with census and other demographic classification data. This allows us to add dimensions such as income, age and gender to the density map outputs we create. This helps researchers discover more about who is visiting their centres and why.
Our experts will guide you through what is contained within the data, provide samples, support and get you started with Huq.