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Mobile network data for Rail

Data to enable smarter decisions in the rail industry

Train operating companies (TOCs) need to understand train occupancy and people flow to make quick and well-informed decisions.

Citi Logik's expertise with mobile network data and the Internet of Things can provide the insights required either in real-time or as historical data files.

Delivering insights into:

  • Real-time and historic occupancy

  • Passenger flow at stations

  • Railway station catchment data

  • Impacts of train delays

  • Station crowding analytics

  • Impact of Covid-19

Delivering rail passenger flow insights for:

Rail timetable planners

Understand passenger demand by route, time of day and commuting / non-commuting 

Station health & safety

Movements of passengers in stations, including crowding analysis

Rail network engineers

Data to plan maintenance, response to accidents and to maximise efficiency

Insights into Train Passenger Occupancy

 
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Rail insight delivered the way you want it

You need more than just the data

Citi Logik data enables clients to understand passenger demand by route, by time of day, and split by commuters and non-commuters. 

As well as providing real-time insights into train and station occupancy via our railanalytics platform, we can also provide clean, robust data via a CSV or XLSX file or an API for integration or visualisation.

railanalytics: real-time analytics, insights, dashboards for decision makers in the rail industry

Real-time analytics and dashboards tailored for decision makers within the rail industry

Mobile Network Data integrated in to your big data project

Data for integration into your Platform

Data in CSV or XLSX format for seamless integration

Pictorial representation of MND-based people movement information

Pictorial representations of data to highlight changes in key metrics and provide actionable insights

 

Case Studies

Govia Thameslink

Govia Thameslink

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

Transport for London

TfL

Citi Logik helped TfL identify where people went after leaving Holborn underground station to help TfL plan a station redesign

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Free sample data file

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

Rail Analytics Summary

Smart Data for Rail Planning

Get access to the data you need in the format that you need it in including:

 

  • Real-time and historic occupancy

  • Passenger flow at stations

  • Railway station catchment data

  • Impacts of train delays

  • Station crowding analytics

  • Impact of Covid-19

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