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 in which people travelled in, along with 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 afterwards.

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

Free sample data file

Make faster, better decisions using insights from mobile network data. Click below to request your free sample data file.  

Data for Rail

• Real-time and historic occupancy

• Passenger flow at stations

• Railway station catchment data

• Impacts of train delays

• Station crowding analytics

• Impacts of Covid-19