Dartmouth footfall - week 21 - 2018

Here are the footfall figures for last week Wk 21 based on the Springboard footfall camera measurements:

I have often been asked how the Springboard footfall measurement cameras work so I am including in this post an extract from their website describing how they gather footfall data. You will also note that when footfall is discussed on the news or business channels then Springboard is the company they rely on for data:



Springboard’s technology monitors pedestrians and vehicles in any type of environment, continuously 24 hours a day, 7 days a week.

A small counting device is mounted on either a building or lighting/CCTV column, a virtual zone is defined and pedestrians and cars who travel through the zone are recorded.

Visitor numbers are recorded using the very latest counting software based on “target specific tracking”. Footfall data is audited each day by Springboard and uploaded daily to an internet server where it is permanently stored.

Target specific tracking software monitors flows by employing a wide range of characteristics to determine a target to identify and track. With origins in defence and security applications, TST software has demonstrated an unrivalled degree of accuracy in internal and external environments, with independent audits revealing a degree of accuracy of between 95% and 98%.


  • Detecting early warning signs of change, so that relevant strategies can be devised and implemented
  • Providing a baseline to track performance against, facilitating the setting and measuring of pedestrian count targets
  • Providing an objective measure of attractiveness to customers, lessening the reliance on anecdotal evidence of performance or on a sample of sales data which can vary from that of the area generally
  • Evaluating the success of marketing and promotion by understanding the additional pedestrian count generated during an event or as a result of a promotion
  • Identifying the contribution of capital improvements - both during and on completion in terms of increasing customer numbers
  • Understanding patterns of activity and how they vary over time and between locations, which can inform strategy setting and implementation
  • Providing data required by inward investors to evaluate a decision as to whether they should invest in a location
  • Identifying over or under-performance by benchmarking against national and regional averages and peer groups to establish whether increases or decreases in footfall are in line with general trends



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