Population Movement from Holborn Station

Case Study: Transport for London

Identifying where people go after leaving a station

During the redesign of Holborn underground station, TfL wanted to know where people went after leaving the station. The aim was to minimise  the number of people crossing busy roads outside the station for safety reasons. 

 

Citi Logik was able to clarify the direction that people travelled in, as well as their end destinations. This provided TfL with the evidence they needed to carry out the work and get it right first time, avoiding the need to make costly changes later.

Other Case Studies

Great London Authority

Three pilot studies to show how mobile network data can help decision-making

Govia Thameslink

Citi Logik collected real-time data for Govia Thameslink trains to display which trains had seats available and which were full

Hull City Council

How Citi Logik helped Hull become a Smart City

 
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Rail Analytics Summary
  • Real-time and historic occupancy

  • Passenger flow at stations

  • Railway station catchment data

  • Impacts of train delays

  • Station crowding analytics

  • Impacts of Covid-19

Data for Rail

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