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:
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Real-time and historic occupancy
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Passenger flow at stations
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Railway station catchment data
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Impacts of train delays
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Station crowding analytics
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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
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.
Real-time analytics and dashboards tailored for decision makers within the rail industry
Pictorial representations of data to highlight changes in key metrics and provide actionable insights
Case Studies
Govia Thameslink
Citi Logik collected real-time data for Govia Thameslink trains to display which trains had seats available and which were full
TfL
Citi Logik helped TfL identify where people went after leaving Holborn underground station to help TfL plan a station redesign
Smart Data for Rail Planning
Get access to the data you need in the format that you need it in including:
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Real-time and historic occupancy
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Passenger flow at stations
-
Railway station catchment data
-
Impacts of train delays
-
Station crowding analytics
-
Impact of Covid-19