Bike Share: The Foundation for Mobility as a Service

Bike Share Schemes can be the foundation for developing Mobility as a Service (MaaS) in an urban city. It has a proven model that supports the deployment of MaaS across many different areas.


MaaS integrates various forms of transport services into a single mobility solution. It combines a range of services from trains and buses to taxis and bike sharing to offer a tailor-made transport solution that connects you door-to-door.


Bike Share Schemes make it easier to facilitate the move towards MaaS. MaaS operators can take advantage of its large user base and learn from its management approach to drive efficiency beyond Bike Share.


We believe a well-run Bike Share Scheme is the foundation for MaaS models. It supports the move away from personally owned vehicles to modes of transportation that are just as effective and cost-efficient whilst better connecting existing transportation.


Research by DTimes and ofo has found that shared bikes have the ability to seamlessly interlink existing transport infrastructure. Bike Share Schemes make it easy for users to access other transport links as well get to their final destination.


When residents can rely on transportation services to fully connect them to where they need to go, they are likely to use the services again and on a regular basis. That can facilitate the move towards MaaS initiatives in the future.


We are seeing the growth of MaaS apps such as Whim in Helsinki that could soon be the norm for modern transport around the world. It provides the convenience of private vehicle travel without the need of ownership particularly when on average cars are parked for over 95% of the time.


For cities looking to adopt MaaS models and transform the culture of personal vehicles, simplifying and optimising Bike Share Schemes should be the first step. It makes the financial and convenience case for using public and private means of transport over own personal vehicles.


With MaaS, operators and city officials gain complete visibility across a cityscape. It provides a clear picture of its users and their transportation needs. Visibility can be matched with technology such as AI to optimise all journeys in the urban city.


At Stage Intelligence, we are leaders in Bike Share Scheme management and hold a track record of simplifying operations around the world using our AI technology. We combine data and AI to deliver actionable insights that makes the management of Bike Share simple and efficient for operators.


To find out more about how Stage Intelligence can optimise your Bike Share Schemes with its AI platform, please contact



Delivering New Growth for Bike Share Schemes with E-Bikes

Electric bikes (e-bikes) have huge potential for Bike Share Schemes but it brings a new level of management challenges for operators. Over its manual counterpart, e-bikes need to be fully charged for each rider, every time and that requires efficient distribution.


E-bike is a pedal bicycle with an electric motor. It assists the rider with additional electric power whilst offering many of the same characteristics as traditional bicycles. Many e-bikes are legally classified as bicycles and subject to the same local laws.


E-bikes can be a great way to travel. It can reduce door-to-door time of commutes with a lot less effort and makes transport more accessible to the new or less-experienced cyclists. For operators, it delivers new opportunities to compete in the industry and win new riders.


In the recent CES 2018 event, we saw many operators reveal their plans to incorporate e-bikes. Limebike, Spin, Ford GoBikes and Social Bikes all announced the introduction of e-bikes within their operations. It marks the shift in the industry that caters to the end users and their Bike Sharing experience.


E-bikes are a convenient way to get from A to B but it is faced with challenges in the market that limit its growth. The perception of e-bikes as ‘cheating’, the added weight of the battery pack to cycles and the cost of purchasing and repairing one all affect e-bike adoption with the public.


Manual pedal bikes are also much cheaper and easier to purchase, build and maintain for operators. It makes it simple for operators to grow fast and grow far. It’s one of the reasons why we are seeing thousands of pedal bikes being launched globally and at such a rapid pace.


For operators, the key is to deliver a service that people will want to use regularly and e-bikes offer a solution that removes the limit on how and when riders can use the schemes.


One major concern I see is in how operators manage their e-bike schemes. The demand for e-bikes is likely to be higher than the current pedal Bike Sharing schemes. It will put pressure on operators to deliver each and every time.


E-bikes will also need to be charged at the end of the trip and ready to be used by the next rider. That requires seamless management of resources and expert understanding of the local market.


Bike Share operators will need to have a strong management process in place to not only handle the challenges of e-bike sharing but to also take full advantage of the many opportunities it looks to bring for operators. Operators will be required to match local demand with efficient redistribution to succeed in the market.


At Stage Intelligence, we are using our expertise in Bike Share management to address the challenges of e-bike sharing. We are incorporating new e-bike technology within the artificial intelligence platform. Our processes enable us to add new features and functionality to cater to the dynamic Bike Share market.


To find out more about how Stage Intelligence can support and simplify your Bike Share Scheme operations, please contact

BKT Chooses Stage Intelligence to Transform Guadalajara’s Bike Share Scheme with Artificial Intelligence

Stage Intelligence has partnered with BKT bicipública to simplify and accelerate Bike Share Scheme management in Guadalajara, Mexico. 


LONDON, 7 February 2018 – Stage Intelligence, the leading provider of Bike Share Scheme management solutions, has been selected by BKT bicipública, a leading Central American Bike Share operator, to deploy its BICO Bike Share management platform. BKT operates the MIBICI system in Guadalajara and will use the Artificial Intelligence-based platform to offer citizens an optimised rider experience and grow their scheme.


Stage’s deployment with BKT is the first time AI will be used in a Bike Share Scheme in Mexico. BICO will enable BKT to rapidly and efficiently distribute cycles across the city and ensure that riders have bikes and docks available when and where they need them.


“BKT and Stage have a shared vision for simple, efficient and user-centric transportation. Together, we are bringing innovation to Guadalajara’s Bike Share Scheme and using AI to give riders the best possible Bike Share experience,” said Tom Nutley, Head of Operations at Stage Intelligence. “AI makes it simple to grow a Bike Share Scheme and provide services that create life-long riders. This is a great opportunity for Guadalajara to innovate in clean and sustainable transportation.”


The Guadalajara Bike Share Scheme is the second largest and the most important Bike Share Scheme in Mexico serving estimated population of over five million people.


“The rebalancing is one of our biggest challenges in the operation of the public bicycle system in Guadalajara. BICO has allowed us to take better advantage of our resources to improve our service. We focus our efforts on achieving user satisfaction. BICO is an essential part to provide a better service and now satisfaction is also for our staff,” said Noé Santana, Operation Manager at BKT bicipública.


Stage’s AI-based BICO platform uses citywide data and the leading AI-technology to provide actionable insights for operators and addresses some of the biggest challenges in Bike Share. Stage recently implemented its internationalisation process that enables the BICO platform to be easily deployed in cities like Guadalajara and cater to the specific needs of its citizens.


“BICO has been very useful for the improvement of our services, the performance of our staff and the understanding of the system. We are very happy to have integrated it into our tools for the operation” said Mario Delgado, Director at BKT bicipública.


The talks between BKT and Stage kicked off as part of the i-Mobility Week in 2017. The Department of International Trade (DIT) in Mexico facilitated the trip to Mexico and helped organise the talks with BKT. The DIT enables UK companies to trade overseas and supports new innovations abroad. It was critical in setting up initial meetings with MIBICI operators and providing guidance throughout the contract process.


“The partnership between Stage Intelligence and BKT demonstrates how organisations in the UK and Mexico can collaborate to create greener cities and happier citizens. Thanks to the support of the British Embassy in Mexico, Stage and BKT have shown that innovation doesn’t have borders. We are very proud to have joined this partnership and we look forward to Stage and BKT growing their partnership and enabling each other’s success in the long term,” said Manuel Mandujano, Trade and Investment Officer at British Embassy Mexico.




About Stage Intelligence

Stage Intelligence specialises in developing Artificial Intelligence solutions for the transport and logistics industry. Its flagship solution, the BICO recommendation engine, delivers real-time intelligence for the management of bikeshare schemes. BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a bikeshare scheme. Customers choose Stage Intelligence because our solutions increase their agility, adaptability and enable them to move beyond traditional manual processes. We collaborate with customers to solve complex problems and deliver solutions that have a lasting impact on their operations.


About BKT bicipública

BKT bicipública is a leading bike share operator across Latin America that finds integral solutions for implementing public bicycle systems within cities. It has been working on city projects for over 10 years to support the development and execution of their plans. BKT uses the most robust technology in the market and manages more than 50,000 bicycles, 3,900 stations and 160 million trips around the world. It currently operates the MIBICI system in the Metropolitan Area of ​​Guadalajara, its second largest and most important scheme in Mexico.


Increasing Rider Satisfaction with Artificial Intelligence

Big data and Artificial Intelligence (AI) provide a valuable opportunity for growth to Bike Share Schemes that have been deployed and developed across the six continents. Both schemes that are in the planning stages and ones that have already been deployed can benefit from leveraging big data and AI

Operators looking to drive growth to their schemes need AI to sort through vast amounts of data. If you combine millions of different criteria across a large urban area, the sheer number of possibilities can be overwhelming.

Every element matters and can influence where bikes are dropped and congestion occurs. In the worst-case scenarios, a rider borrows a bike but can’t find a dock and must travel away from their destination to drop it off and when they return there are no bikes remaining.

Data and AI is key to avoiding this situation. It ensures rider satisfaction by predicting demand in popular areas and managing supply. Only with data and AI technology can Bike Share Schemes look to improve existing processes, operations and logistics, and drive growth to their operations.

Going forward, data needs to be more accessible to operators. Open data allows Bike Share Scheme operators to deliver a transport solution that works for all. Data ensures bikes are available when and where it’s needed to support the growth of Bike Share Scheme deployments around the world.

Regulations such as the General Data Protection Regulation (GDPR) will still be paramount in the push for the openness of data. Cities, operators and all others involved have a duty to follow secure practices and take necessary steps in protecting user information.

Data and AI are ready to help operators to adapt and grow their schemes while refining and simplifying how they manage distribution.

For operators, getting started is simple:

  1. Evaluate long and short-term goals and growth objectives
  2. Explore what AI-based management platforms are available
  3. Look at what open data, shared data and Smart City initiative have been launched or are being developed locally
  4. Collaborate with AI experts and begin the journey towards smarter and more efficient Bike Share Schemes

To find out more about how operators can grow their Bike Share Schemes, read our full whitepaper on ‘How to Grow a Smart City Bike Share Scheme’.