The use of shared active mobility depends on several factors:
Cycling infrastructure (cycle tracks, 30 km/h zones, bicycle racks, signage, etc.) available in cities.
The pricing (subsidised annual subscription, hourly rate, incentive policy, etc.).
The availability of the shared mobility fleet (number of vehicles, condition of vehicles, etc.).
Information reliability (number of available bicycles, number of available docks, etc.). A user needs to be sure that he or she can easily find a functional bike when he or she needs it and can easily drop it off.
Qucit Bike User
Predict the availability of bicycles and docks to provide more reliable information to users!
A turnkey predictive API
Models the demand for shared bikes (standard and/or electric) and docks.
Predicts 15 minutes to 12 hours in advance the probability of finding an available bike/dock.
Available via an API Rest for easy integration into third party media (websites, mobile applications, ...).
Our partnerships
Our latest partnership :
Modalis, the trip planner of the Nouvelle Aquitaine region, now integrates the Qucit Bike User API
Instant System and Qucit have collaborated to integrate Qucit's artificial intelligence models into Modalis. Qucit Bike User anticipates the availability of bikes and docks at each station in Bordeaux, La Rochelle and Pau. The predictive feature makes trips more reliable and makes Modalis a leader in intelligent trip planners in France!
THEIR TESTIMONIES
« The integration of bike sharing data into Vianavigo’s trip planner enables to meet the challenges of the Ile-de-France Urban Transport Plan (PDUIF), namely to give a new boost to cycling and to encourage the use of bicycles by everyone. Thanks to the predictive feature, Vianavigo can finely adapt to users’ route searches by qualifying the service provided. »
Our integrations
Today, Qucit Bike User is integrated into: multimodal (MaaS) and monomodal applications and trips planners websites.
Qucit Bike User: articles
MEDIUM - MaaS or the new mobility paradigm!
One of the success factors of intermodality is information. A motorist will only agree to switch from private car use to public and/or shared transport if he/she has a reliable means of getting to each destination. How can we ensure a pleasant user experience, without frustration... seamless in a way?