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Bike Share Schemes Are Starting to Realise the Potential of AI

As Bike Share Schemes around the world become more popular, how we manage the resources such as bikes and docking stations defines the success and growth of such programs.

For Bike Share Schemes to truly be a solution to last mile problems, riders need bikes and docking stations to be available when and where they need them. It is up to the operators to ensure this happens every time.

But many operators fail to provide this basic level of service as they lack the actionable data and operations to manage the schemes effectively.

For a long time, the solution to ridership problems in Bike Share Schemes has been to supply the market with more bikes. In reality this does little to increase efficiency and often adds to the problem.

Now, Bike Share Scheme operators are seeing the value of data and AI in predicting demand and managing supply. Mobike, one of the start-ups in China, is beginning to use AI to manage how its Bike Share Schemes are run.

Mobike’s ‘Magic Cube’, uses data and AI to forecast supply and demand for its bike-rentals. In a fierce competition for market share, Mobike is seeing the value of using AI to simplify scheduling and operations of its scheme.

Mobike has also released its whitepaper outlining what Bike Share Schemes can do with citywide data. The report goes a long way in highlighting the potential for operators in collecting and using data.

The importance of data and AI is clear. For operators, the key is in not only collecting the data but also having a process that works with its systems and resources to drive growth and increase ridership.

In the future, we are going to see more operators turn to data and AI, especially since cities have the potential to collect and store vast amounts of valuable data. With actionable data, operators save money, cities aren’t cluttered with bikes and citizens can rely on a reliable Bike Share Scheme that they can use in their day-to-day lives.

At Stage Intelligence, we have been using Artificial Intelligence (AI) and self-organising algorithms to solve complex problems in Bike Share Schemes from the beginning. Our BICO solution is easily incorporated into existing platforms to simplify logistics and increase ridership.

To find out more about how Stage Intelligence can drive growth within your Bike Share Scheme, please contact: tom.nutley@stageintelligence.co.uk

Putting Cycling at the Centre of Active Transport in London

London is putting cycling front and centre of its campaign to deliver smarter, greener and more efficient transport.

In August, Mayor of London Sadiq Khan shared his vision for the transforming transport in London. He wants the capital city to be a place of ‘active transport’ and is working to make the city greener, smarter and easier to navigate.

Following this announcement, Transport for London (TfL) awarded a new £79.7 million Cycle Hire contract to Bike Share Scheme operator Serco, which includes the development of lighter, more comfortable and more maneuverable bikes. Serco will continue to maintain and distribute the fleet of Santander Cycles until 2022.

Cycling has already taken a major role in commuter life in London. There is a fleet of 11,500 Santander Cycles in London and TfL says that there are over 610,000 bike trips a day made in the city, well over double the figure of the early 2000s.

In 2000, central London’s roads during the morning rush hour were populated by seven times as many cars as bikes. This ratio has now dropped to nearly two to one, leading TfL to predict that bikes will outnumber cars within a few years.

Khan recognises the potential and popularity of cycling within London, and has created a campaign for enhancing the cycling experience in London. He has agreed to increase the TfL budget spend on cycling and has given the go ahead on continuing the build of the cycle super highway. He wants London to be a leader in supporting cycling and show the rest of the world that London understands how to deliver active and green transport.

Khan is dedicated to supporting cycling across London and is working on a number of ways to make this happen. One of the best ways to support cycling in London is to focus on driving usage in its Bike Share Scheme. More users mean less cars on the road, fewer traffic jams, lower emissions and greatly improves public health through physical activity.

London can grow its Bike Share Schemes by focusing on making it even more user friendly. The happier riders are the more uptake Bike Share Schemes will incur, and as a result the more active London will become.

At Stage Intelligence we use Artificial Intelligence to simplify the distribution of bicycles in Bike Share Schemes. When Bike Share Schemes are properly distributed and made easy-to-use, customer satisfaction increases. Bike Share Scheme optimisation can effectively help transform the London transport experience. We think that Khan’s support in bettering cycling in London is a great place to begin in bringing his vision to life.

To find out more about Stage Intelligence’s technology and how it can assist in making the distribution in Bike Share Schemes as efficient as possible please visit our website: http://bit.ly/2bl1cbH