Guide / Case study

Public transport on exceptional days

Public transport on exceptional days
How to plan and manage effectively with DRT

Some days pose particular challenges for public transport. A rugby match, a theatre premiere, a local funfair or even the Paralympic Games taking place in the city can disrupt timetables, destinations and passenger profiles. Demand arises at unusual times and in unusual places, often from passengers who are unfamiliar with the network or require additional support. For on-demand services, this requires a high degree of responsiveness and, above all, absolute flexibility in designing the service offering.This case study examines how on-demand transport can complement local public transport on such days. It presents four projects that were successfully implemented using the Padam Mobility platform.

  • Paris 2024: accessible shuttle buses for spectators with reduced mobility, connecting 8 railway stations with 23 event venues. 7,500 journeys during the Olympic Games and 3,200 during the Paralympic Games.
  • Lyon: autonomous on-demand shuttle buses between a tram stop and the stadium.
  • Brussels: a shuttle bus for a theatre, with its route planned in advance of the first journey based on demand data.
  • Trade fairs and festivals: journeys from various points of interest, with no booking, no app and no prior registration required.

These four projects highlight one key point: technology alone is not enough to ensure the smooth running of a special transport service. Careful planning, appropriate operating parameters and close coordination with organisers, operators and authorities are essential.Download the document to find out more about these case studies.

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Padam Mobility

As a key player in shared mobility, Padam Mobility meets the objectives of rebalancing the transport offer in sparsely populated areas and allows all users to move around with more freedom. The company designs and develops dynamic and intelligent Demand-Responsive Transport solutions (DRT and Paratransit) based on artificial intelligence:

Users book their rides in real time or in advance via an application, a website or a call centre.

Drivers follow the evolution of their itinerary which is optimised according to bookings.

Thanks to a dedicated management interface, transport operators can supervise operations and collect the data needed to continuously improve the service.