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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 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.

Transport for London case study

Other examples using MND in transport planning for cities

Greater London Authority case study

Great London Authority

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

Govia Thameslink case study

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 case study

Hull City Council

How Citi Logik helped Hull become a Smart City

Holborn
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Rail Analytics Summary

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

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