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.


Five Bike Share Trends to Watch in 2018

When I talk to people at events, I see how business models have changed over the last year. Bike Share operators are constantly challenged to keep up with the rapidly changing industry and offer better rider experiences to its users.


A big opportunity for operators in 2018 is in how Bike Share Schemes are managed. It will not be enough to just supply the bikes, questions will be asked about how operators cater to the local market needs.


Intelligent operations will be at the heart of Bike Share Schemes in 2018 with operators focused on delivering the best experience to compete in the highly saturated market.


As Bike Share continues to grow across the globe, I see the following trends changing the marketplace:


  1. Rise in App-Based & Dockless Bike Share Models

App-based Bike Share Schemes are being deployed in more markets globally. In many urban cities, you now have access to free-floating bikes that can be picked up and dropped off virtually anywhere. In 2018, we will see an increase in cities adopting these schemes in an effort to reduce the strain on existing transport infrastructure and facilitate the move from personal vehicles.


  1. Growth of Multi-Operator Environments

Multi-operator environments are not new. We are already seeing many cities where more than one operator is running a scheme. Throughout 2018, this is likely to grow to more cities around the world and operators will be asked to deliver an optimised Bike Share Scheme to keep up with the competition. Cities will also need assuring that resources will be better managed to avoid bikes being damaged or left in unsuitable places.


  1. Optimised Redistribution with New Technology & Incentives

The growth in Bike Share Schemes and multi-operator environments will be the driving force for better redistribution. Operators will be challenged to offer schemes that work well and is not a nuisance to cities or its citizens. Fortunately, new technology such as geo-fencing and incentives including financial rewards will drive better rebalancing processes. From the events I’ve been to, it’s clear that operators are looking to do more to improve their redistribution efforts.


  1. Increased Bike Share Regulations

Bike Share operators have welcomed the prospect of more regulations. While some may hinder current operations, most regulations will help Bike Share Schemes to thrive. It will guide operators as to what is required and enable them to grow into new markets much easier.


  1. Driving Intelligent Bike Share Scheme Operations

In 2018, operators will look towards better ways to manage their schemes and to grow their ridership. We see growth in technology such as Artificial Intelligence (AI) simplifying the management process. It enables operators to sort through vast amounts of data to gain actionable insights that has a direct impact on their operation. That kind of information makes management of Bike Share Schemes simple and efficient.


In 2018, we will continue to see disruption in all parts of Bike Share and the wider transportation industry. It will impact how operators do business. How these schemes are managed will still be the main focus for many cities and its citizens.


Users expect transportation to be as simple and efficient as the other services they consume on a day-to-day basis. That puts the pressure on operators to deliver a well-run Bike Share Scheme.


An optimised scheme enables users to rely on its services and use it regularly. It reduces unnecessary costs and complications for operators while driving profits to their business.


Fortunately, I see new technology, incentives and processes enabling operators to transform their current business model.


At Stage Intelligence, we combine citywide data with AI technology to deliver real value to Bike Share Scheme operators. Our BICO platform makes it easy for operators to simplify their operations and deliver Bike Share Schemes that works for both cities and the users.


To find out more about how Stage Intelligence is transforming Bike Share Schemes around the world with AI technology, please contact


Solving Distribution Challenges in Bike Share Schemes

Effective distribution, in some of the best Bike Share Schemes, require immense amounts of citywide data to be captured, processed and used. Increasingly, schemes around the world are using city data to not only optimise its redistribution but to also show complete visibility to its users as to where the bikes are on its system map.

It’s how Bike Share Schemes use this data that drives value for operators, riders and cities. Bike Share Scheme operators are often familiar with rider statistics and patterns but the challenge is to use this data to accelerate growth within a scheme.

Tracking growth and stimulating growth are often two very different things. At the heart of new growth is rider experience. Bike Share Schemes are challenged to offer a consistent rider experience across a city while ensuring that using a Bike Share Scheme is easy, convenient and enjoyable for the rider. A positive and consistent Bike Share Scheme begins and ends with two questions:


  1. “Can I get a bike where I want one?”
  2. “Can I dock my bike at the end of my journey?”


If a Bike Share Scheme can guarantee these two things, it is likely that a rider will have a positive riding experience. When a rider can borrow a bike and dock it, they are more likely to use the scheme again and make it part of their routine.

That’s good for the Bike Share Scheme as it will help to grow overall ridership and new people will experience the city using shared bikes. A Bike Share Scheme with an active and growing ridership is able to invest and expand its schemes.

The data available in a city can be used to ensure that riders can access bikes and docks where and when they want them. Different days of the week, weather, events, seasons, local conditions and scenarios, and a whole range of criteria can shape how a Bike Share Scheme is used.

On a rare rainy day in Los Angeles, people may not cycle at all. In Amsterdam, there may only be a slight variance in usage patterns. At the same time, different events can be connected like a sunny day in a city, matched with a train drivers strike and major sporting event being held in one area of the city. All of these factors can influence how a scheme is functioning and where more or less bikes are needed.

Artificial Intelligence (AI) can be an excellent tool for simplifying Bike Share Scheme operations while using the power of data to drive decision making. AI can process a variety of data both historically and in real-time
to deliver actionable insights for Bike Share Scheme operators. Operators gain visibility into all of the criteria shaping a cityscape and benefit from useful insights to optimise bike distribution to match changing conditions.

AI accelerates how decisions are made by operators while taking the guess work out of bike distribution. The AI technology can predict peak times up to 12 hours in advance, enabling operators to manage supply and meet requirements in those areas. This ultimately leads to bikes and docks being available and riders getting a better Bike Share experience.


To find out more about the role data and AI has on a Bike Share Scheme, read our full whitepaper on ‘How to Grow a Smart City Bike Share Scheme’