Mobile network data for Transport
Citi Logik have developed custom datasets using MND for over 100 transport and urban planning projects in the UK and abroad.
With a team of experts in population movement, transport modelling, data science and big data, we offer a flexible, transparent approach to enable clients to exploit the huge potential of mobile network data.
Our transportdata capability provides insight on the following:
Where do people travel from and to?
Our journey generator determines where trips start and end. Rail trips can be split into ‘station to station’ and ‘first mile/last mile’ legs.
Why are people travelling?
Our pattern recognition infers the purposes of each trip.
By what mode are people travelling
Our algorithms detect the mode of each trip - rail, slow mode, HGV or ‘other road-based’ mode. We also generate the number of ’static’ people.
What route are they taking?
We snap the trajectories of each trip to the corresponding road or rail route. Development under way on ‘snap to flight’ for the air industry.
We take a consultative approach to our service, tailoring our data solutions to meet the specific needs of each client.
All projects include
Comprehensive pre-sales technical engagement to ensure smooth project
Up to three progress meetings/workshops
Report detailing methodology and assumptions
Report describing the verification checks undertaken
Support line for queries post data delivery
Bespoke multi-modal mobile phone datasets
12 month archive for UK customers
Used in over 100 transport and urban planning projects
Developed by transport modelling experts
R&D opportunities welcomed
Option to visualise datasets within Citi Analytics
GDPR and WebTAG compliant