AI increases Bike-Share Scheme growth, data shows

Stage Intelligence has released data showing how AI impacts Bike-Share Scheme growth, efficiency and sustainability.

The data shows ridership increases across schemes in Divvy Bikes in Chicago, City Bikes in Helsinki, and MIBICI in Guadalajara, Mexico, since deploying Stage Intelligence’s BICO AI Platform.

Divvy Bikes had an increase of 0.75 rides per day, MIBICI had an increase of 1.5 rides per day and City Bikes had an increase of 5.5 rides per day.

Tom Nutley, CEO at Stage Intelligence, said: “When you see ridership growth increase, it means more riders are enjoying a reliable scheme and making it part of their daily routine while operators are increasing profitability.

“Each ride per day adds to a scheme’s bottom line and enables it to grow and scale effectively/efficiently.

“We are seeing AI create more liveable cities with sustainable transportation solutions, reducing traffic and improving air quality.

“That will have a lasting impact on how we experience urban environments.”

The BICO AI optimisation platform enables users to collect, manage and visualise vast amounts of data and turn this data into actionable insights to drive growth within businesses.

Mario Delgado, director of MIBICI, said: “The number of trips per bike has increased significantly in recent years, however we are continuing to work with the same resources as two years ago with the Government providing re-balancing vehicles for the scheme.

“Currently, during the week we register more than 12,000 trips per day, that is, about six trips per bicycle per day.

“This means that MIBICI represents an efficient transportation alternative for people and has had a very high level of acceptance.

“In this context, the BICO platform has been an invaluable tool for the operation of the system, we have obtained greater performance of the vehicles and has been adapted to our additional strategies for the rebalancing.”