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Bike Sharing and Micro-Mobility Shifted Gears in 2018

2018 was the year where Bike Sharing and Micro-Mobility showed its potential to change urban spaces and the transportation industry as a whole. Docked or dockless Bikes, e-Bikes, scooters, e-scooters and a whole range of new mobility options have become the most exciting and innovative sector in transportation.

 

If we go back 15 years, there were just four Bike Sharing Schemes. In 2018, there were more than 1,600 globally, according to Bike Sharing consultancy MetroBike. These schemes account for 18.2 million public-use bikes available around the world, nearly double the number from four years ago.

 

Growth is expected to remain in double digits for the next eight years at least. Research and Markets expects global Bike-Sharing market to grow at a Compound Annual Growth Rate (CAGR) of 12.5% between 2018 and 2026.

 

At the same time, schemes are diversifying and going beyond traditional Bike Share models. In the spring of 2018, multiple US cities started facilitating electric scooter services, which lead to 3.6% of people claiming to use the sharing-scheme. An impressive statistic, considering the market was only made available to the public less than 12 months previously.

 

Inside a Populus report – The Micro-Mobility Revolution – they highlighted that 70% of their respondents viewed electric scooters as a positive addition to urban areas – predominantly as they’re more convenient for shorter journeys, compliment public transport and extend their choices of transport as a whole.

 

In April, we saw the beginning of convergence between mobility platforms with Uber’s acquisition of Jump Bikes in April. Uber signalled it would be adding additional ways to move around your city directly from the Uber app. It has recognised the value of micro-mobility to its future and is prepared to spend capital and resource to get in the game.

 

The market is changing fast and that’s exciting but it hasn’t all been good news.

 

In China, a dockless Bike Sharing system was launched that charged cyclists just pennies for a half-an-hour ride. However, the initiative out-grew its demand, meaning there were too many bikes and not enough riders. The bikes were dumped –  in the streets, sometimes in rivers – and that lead to them being laid to rest in ‘bike cemeteries”.

 

In May 2018, the city of San Francisco temporarily banned electric scooters after residents complained of congested streets and illegal parking. The city received 1,900 complaints about the new vehicles. In August, San Francisco Municipal Transportation Agency announced Scoot and Skip as the winners of its e-scooter pilot sweepstakes, bringing e-scooters back to the city.

 

Across the Micro-Mobility industry, growth is being matched with experimentation and a healthy skepticism from local authorities. As in any rapidly evolving market, we are going to see more successes and failures in the next 12 months with efficient and consistent scheme management being a common challenge. No matter what type of scheme is being operated, end users need an optimised experience and operators need an efficient way to manage them.

 

As the market grows in complexity, Stage Intelligence uses its BICO AI optimisation platform to solve these challenges and simplify how schemes are managed. As our industry goes to a new level, we’re taking scheme management to new places with Artificial Intelligence.

 

Please get in touch if you’d like to know more about how we can help you get the most out of your Bike Sharing Scheme:  info@stageintelligence.co.uk

Simplifying and Accelerating Micro-Mobility in 2019

In 2018, we took our business to a new level and put a foundation in place to continue our growth globally whilst utilising our technology to solve new challenges. It was also the most exciting and successful year Stage Intelligence has had to date. We executed our vision for AI-optimised mobility and our partners are seeing the results every day.

This year we met partners across the globe, had more productive conversations, and listened to a growing number of operators as they look to innovate their operations. At every event I attend, I’m reminded of how young, fresh and exciting the Micro-Mobility market is. Everyone is looking at ways to deliver for end users, improve and expand their operations across urban areas or with new modes of transport.

It really feels like 2018 was a landmark year for Micro-Mobility in terms of growth and recognition. The pace of change has been amazing, and the ups and downs throughout the year have shown how important it is to have simple and powerful solutions for managing an increasingly complex mobility landscape.

That’s where we are creating real long-term value for our partners no matter how their organisations evolve in the future. From start-up operators through to the largest Bike Share Schemes in the world, our platform is simplifying and accelerating how they operate.

I’m extremely proud of all that our team has achieved in 2018 and we saw what we are capable of. I know we can continue to build on our success and not only enable more partners to benefit from our platform, but also enable more users to experience the best Micro-Mobility service possible. I believe we can play a critical role in creating sustainable mobility options, businesses and urban environments and that is an exciting prospect in 2019 and beyond.

We’re Moving Fast

At the beginning of the year, our BICO AI optimisation platform was live in two Bike Share Schemes, and by December 2018 it had been deployed in 15 schemes across three continents. Our growth has been transformational for our business. We’re operating in a range of unique environments and have shown that we can scale to serve some of the world’s largest and most dynamic schemes. Smaller schemes that have adopted BICO have also seen the benefits of adopting AI within their schemes, making them more cost efficient enabling them to grow and scale efficiently. There really aren’t any limits on where we can deploy our platform and have positive impacts on operational performance.

In July, we announced our deployment in Helsinki with CityBike Finland OY from which it has grown to be our most successful scheme in terms of ridership. After deploying BICO, CityBike Finland saw ridership grow by five riders per bike per day. That means more citizens are using the available bikes and the scheme is growing its profitability, shown by another expansion planned for the coming season – It’s a win-win for the city, operator and the users.

In Latin America, we partnered with Tembici to deploy BICO in cities across Brazil including Rio de Janeiro, Sao Paulo, Recife, Salvador, Port Alegre and Vila Velha. Our phase two deployments include Santiago, Chile, and Buenos Aires, Argentina. This is a major leap forward for our presence in South America and a vote of confidence in our platform. Tembici believes in BICO and will utilise the platform to scale their operations across Latin America and beyond.

In Europe, we’re working with Smovengo and have deployed BICO across the Velib in Paris, France. We’re extremely proud to see BICO live in the largest Bike Share Scheme in the Western world, and increasing the usability of more than 21,000 bikes of which 7000 will be electric. It’s a major milestone for our business and really shows that no matter the size of scheme, season, vehicle type or weather, BICO can drive efficiencies for our partners.

Each of these BICO deployments shows the potential of our business to directly influence the future of Micro-Mobility globally, and enable the success and growth of more operators across the world. With every scheme we add we’re evolving, refining and improving our platform. Each scheme adds something new and drives our platforms features and functionalities forward.

Priorities in 2019

Since becoming CEO of Stage Intelligence in 2018, I’ve been focused on continually pushing our business forward and building on and adding to our successes. The biggest challenge in AI and Micro-Mobility is remaining focused on where we add value and not try to chase every opportunity. We have to stay aligned with our original purpose. We make solving complex challenges simple for our partners.

In 2019, we’re going to build on our core strengths and use all we’ve learned to expand into some new areas. I see 2019 as a year where we add some new dimensions to BICO and find some interesting ways to add value for our partners.

There are six areas that we are going to prioritise in the 2019:

  • Nurturing Our Core – We will continue to grow the number of Bike Share Schemes we’re deployed in and support more operators globally. There are more than 1,600 Bike Share Schemes globally and we know that we can help them to operate efficiently and deliver an optimised experience for users. I see huge potential in North America, and we’ll be making a big push in the market in 2019.
  • Adding New Capabilities – We’re expanding what our platform can do for our partners. We’re adding new support for managing broken bikes, electric bikes and optimised battery management. Operators need a more efficient way to deal with maintenance and we see an opportunity for BICO to help them solve these challenges.
  • Supporting Hybrid Models – We’re looking at ways to support Hybrid Bike Share models where docked and dockless systems are integrated. Depending on the exact model, bikes can be docked at physical docking stations, “virtual docking stations” or remain free-floating. It adds new complexity to scheme management but ultimately offers a flexible user experience. The challenge is to help operators manage their bikes and ensure they are available when and where they’re needed.
  • Deliver Micro-Mobility Through a Single Pane – As the number of modes of transport grow across a city, we’re developing ways to visualise the entire Micro-Mobility landscape in an urban area. Operators want to see and understand their entire operating environment through a simple, optimised dashboard. They want to gain insights from data and make faster decisions. Micro-Mobility will only grow in complexity and we’re finding ways to make it simpler to manage.
  • Growing Our Team – In 2019, we’re going to continue to grow our team and bring on board new skills and talent. We added Alex Churchill to the team at the end of 2018 to expand our AI expertise, and he brings new perspective and insights to our operation. Our AI platform is delivering amazing results and we want to continue to refine and optimise it. The tech team will grow as well as we expand our platform, while sales and marketing will also see new additions.
  • Continued Execution for Partners – The most important thing is that we continue to execute for partners and deliver the results we’re capable of. The numbers show precisely the kind of impact we can have on a scheme within months. Each scheme we work with sees cost-savings and new growth in their ridership. It is that simple. We just need to keep delivering for partners.

This Time Next Year

This time next year I think the Micro-Mobility market will have had another year of huge growth and disruption. Personally, we will have double digit growth in the number of schemes we’re deployed in and our platform will support more diverse needs of our partners.

There will be more modes of transport deployed in cities across the globe and the need for a simpler, faster and easier way to manage schemes will only grow. We’re going to work closely with partners to collaborate and co-create features or solutions that solve their challenges. If we keep listening to their needs, the potential in our business is limitless.

Part of this is about getting out in the market and to even more events. We’re going to be sharing our ideas, data and results. I want to evangelise AI in Micro-Mobility and share our partners’ success stories. I see an opportunity for us to offer consultancy to new partners and really act as a trusted advisor for new schemes that are launching, or existing schemes that want to go to a new level.

There has never been a more exciting time in our business and our industry and I’m looking forward to a huge 2019.

Delivering New Visibility to Bike Share Operations with Spin-off Environments

Management of Bike Share Schemes often come second to operators that are looking to expand to new markets globally. Today, operators can gain new visibility into their existing Bike Share operations by testing in a spin-off environment.

 

A spin-off environment simulates an operator’s current redistribution and management processes in a particular market to find new operational efficiencies. It looks at variables such as the number of trucks in use, capacity of these vehicles, staff shift patterns and other factors to assess if resources can be better utilised.

 

When Bike Share operators have visibility into how their schemes are run they can make quick decisions that can help reduce cost, win riders and grow in local and global markets.

 

Platforms that offer spin-off environments on-demand give Bike Share operators a huge advantage in the local market. With redistribution accounting for over 30% of the total operational costs, spin-off environments enable operators to reduce internal resources and optimise rebalancing to maximise their bottom lines.

 

In an increasingly multi-vendor state, where more than one Bike Share operator compete in the local market, the winners are the ones that are efficiently testing operations and managing resources. It gives them significant cost savings compared to its competitors, build strong ridership through better rebalancing and grow.

 

Operators can see the impact of managing resources with a spin-off environment. They are not unnecessarily spending huge amounts of money and time adding new resources. They gain real insights into management and can build a strong redistribution strategy.

 

Bike Share operators around the world now have the opportunity to test their management processes in spin-off environments. They have the ability to better optimise and manage their schemes day-to-day.

 

From the partners we’ve worked with they have seen real value in the testing in a spin-off environment. They were able to turn up their operations locally with very minimal increases in internal resources. That’s a big win for us. Our goal is to help operators reduce cost through better management of their existing resources.

 

We are able to work closely with operators and leverage our platform’s capabilities to spin-off environments on-demand. They see new opportunities in their operations that can help them compete more efficiently in the local market. They see results almost instantly, reducing the risk of managing a Bike Share Scheme.

 

If you are interested in finding out how our BICO platform is able to spin-off environment on-demand and deliver actionable insights into new markets, please contact us: tom.nutley(@)stageintelligence.co.uk.

Delivering On-demand Team Management to Bike Share Operators

Bike Share operators around the world are looking for easier and better ways to manage its operations and operational staff. They need solutions that can make internal team management simple and reliable.

Today, Bike Share operators are struggling with outdated team creation and management processes that restrict how they carry out their day-to-day tasks. They are burdened with manual inputting, time implications and constant miscommunications internally.

When your operational staff are not working together efficiently, your whole scheme could be at risk. Your redistribution and internal operations are not optimised and that could have a negative impact for your riders.

It’s why team management has been a big priority for us. Operators are looking for easier ways for its distribution teams to work together, communicate and collaborate. In BICO version 15.1.0, we made it simple to create and manage multiple teams.

Operational staff can now set up teams in real-time without the need to do so in advance. They are free to start their day and update the app as they pick up new job requests. It saves valuable time and effort for staff and enables them to operate more efficiently when redistributing the bikes.

Bike Share operators really benefit from a dynamic management platform that can keep up with the changing industry. You’ll see better optimised internal processes that enable your teams to work together to better serve the market. That gives riders complete confidence in your scheme.

Riders can trust that your bikes and resources are available when and where they need them. They can rely on your scheme to get to their end location each and every time. That builds strong ridership and helps you grow locally and around the globe.

In BICO v15.1.0, we’ve worked closely with our partners to add new features including:

 

  • Simple Team Creation

Our BICO Android application lets users create teams with the app by selecting a User Name, Shift, Break Time, Vehicle, Depot and Team Name, which can be easily edited.

 

  • User Verification

The latest BICO update includes a simple user verification process that can be set up by entering the username and password. This is an optional feature and can be turned on or off.

 

  • Usability & Stability Improvements

BICO 15.1.0 also comes with a range of usability improvements, general bug fixes and stability improvements.

 

At Stage Intelligence, we’re continually updating our app to deliver a simpler, faster and better way to manage a Bike Share Scheme. We’re improving the usability, stability and performance of the app while adding new features to give partners around the globe a reliable Artificial Intelligence (AI) platform.

 

If you’d like to find out more about the latest BICO update and how that impacts Bike Share operators around the globe, please get in touch: tom.nutley(@)stageintelligence.co.uk

2018: A Tipping Point for Artificial Intelligence in Transportation

2018 will be the tipping point for Artificial Intelligence (AI) in the transportation industry. It will be a year where AI becomes an essential tool with new understanding and recognition that it is critical to success. In our business and beyond, we’ve seen how influential this technology can be in changing business models and creating better transport solutions.

 

At Stage Intelligence, we’re seeing this become a reality. In 2017, we’ve seen tremendous momentum behind our business and growing demand for real AI solutions in transportation. We’re rolling out our AI-based Bike Share management solution in cities across the globe and changing the perception that Bike Share isn’t a viable, reliable transport option.

 

We are helping to accelerate transformation in transportation and utilising self-organising algorithms and elements of machine learning to simplify and empower Bike Share management.

 

2018: Challenges in AI

The future of transportation will be defined by AI. Research firm Gartner predicts that by 2020 almost every new software product will have AI technologies. In transportation, we are starting to see widespread application and development of AI technology that is being powered by the collection of data and use of algorithms.

 

That said, it is still a very young market with challenges ahead. I see three big challenges for AI in transportation:

 

  1. Not All “AI” is the Same – Many businesses that say they use AI don’t actually have it deployed. It is a buzzword and many businesses are doing data visualisations or pretty interfaces but when you look under the hood there’s nothing there. Operators eager to benefit from AI don’t get what they paid for and won’t see the best of it.

 

  1. Transportation Expertise and Focus – AI solutions need to address specific challenges. They need to be purpose built for transportation and developed by both experts in transportation and AI. Otherwise, you get generic solutions that solve generic problems rather than enabling real innovation and agility in transportation.

 

  1. Nurturing AI – AI isn’t just about building solutions. It is about training it and nurturing it to deliver the results you want. It requires people, time, effort and a lot of data to continuously maintain and develop the technology. You don’t just flip a switch. It requires an expert experienced in developing and growing successful solutions.

 

As we see more AI-based solutions adopted, there will be a move towards quality and performance. Solutions that are based more on buzzwords than results will fade away.

 

In 2018, more people will understand the basics of AI and make better decisions about the solutions they deploy. That’s good for transportation and will accelerate its growth.

 

Building Better Bike Share Schemes

We’ve seen tremendous growth in our business over the past year. In 2017, we deployed our solutions in new corners of the world.

 

Our business development team led by Tom Nutley was out and about at events and meetings almost on a monthly basis. We’ve been successful in sharing our belief in automated rebalancing and using self-organising algorithms to build better Bike Share Schemes and that has led to trials and deployments around the world.

 

Our flagship BICO Bike Share Scheme management platform has been adopted and is supporting ridership growth in unique markets in the Americas and Europe. In 2017, We added greater functionality to BICO including a successful internationalisation process that helped us to better serve our partners abroad and dynamic replenishment values for greater predictive management of a scheme. Both have made it easier for operators to deploy and benefit from our solution.

 

We are also proud to have partnered with industry bodies to accelerate transformation in Bike Share Schemes. We are a member of the platform for European Bicycle Sharing & Systems (PEBSS), created by European Cyclist’s Federation (ECF). Our work with ECF and PEBSS highlights our commitment to growing a healthier cycling market for all.

 

In November, our usability data was shared around the world and is influencing conversation about how to create Bike Share Schemes that give riders an optimised experience. We are sharing our data and analytics to show what is possible in Bike Share when you take a new approach.

 

This Time Next Year

Throughout 2018, we will develop our AI technology for the shared mobility market, innovate for Bike Share operators and continue to roll our solutions around the world. It is an exciting time for our industry and we are ready to help our partners benefit from our solution and encourage the continued growth of Bike Share.

 

As cities around the globe continue to push towards cleaner and more sustainable transportation, we will see increased demand for user-friendly Biker Share. How cities and operators manage their schemes and support riders will define their success.

 

The tipping point in Bike Share will be seen when automated rebalancing becomes a critical part of any Bike Share operator’s conversations about growth. AI will at least be considered when discussing a path forward for schemes looking to grow. That’s a big step forward in an industry that is constantly changing.

 

There are a few things that I believe will define the Bike Share in 2018:

 

  • Growing Bike Share Schemes

As more Bike Shares use AI-based management solutions, riders will get a better experience and schemes will grow. It will enable faster decision making for bike distribution, ensuring that riders get bikes and docks where and when they need them. That drives growth and creates new efficiencies.

 

  • Move Towards Electric

We will see a greater push in electric cars, bikes and scooters in an effort to reduce emissions and drive down costs. We will see more Bike Share offering e-bikes and even further introduction of e-scooter sharing in cities around the world. With greater range and a larger, more diverse user base, schemes will need better management solutions to drive efficiency.

 

  • Mobility as a Service

We will see mobile phones play a greater role in traditional transportation. Mobility as Service (MaaS) showed its potential in 2017 and now MaaS will begin being rolled out in cities around the globe. It will streamline how we travel and deliver even more data about how we commute.

 

  • The End of the Free-For-All in Free Floating

The free-for-all in Free Floating Bike Share has to come to an end. Healthy markets do not tolerate massive oversupply and as we’ve seen in some cities in China it leads to failing schemes. Free Floating Bike Share Schemes need to be managed and follow policies set out by local governments to be successful. In 2018, we hope to see less mistakes made and a lesson to be learned.

 

All of these things will drive demand for AI-based solutions and the evolution of Bike Share Scheme management. Bike Share operations should be simpler to manage with better experiences for riders. In 2018, we will solve some of the challenges in transportation and deliver solutions that benefit cities, citizens and the environment. I see tremendous potential in our business and our industry. 2018 will be a phenomenal year for AI in transportation.

 

Big Data Innovation in Bike Share Schemes

Big data is changing how we experience cities and enabling us to live healthier, happier and more productive lives. As cities become smarter, big data is being used to reimagine transportation and how we get from A to B.

Every city is producing vast amounts of data every hour and every day. Increasingly this data is being captured and put to work creating new solutions, processes and experiences that improve how a city functions and is enjoyed by citizens.

Data can be used to improve, urban planning, health care, sustainability, transportation and just about every aspect of a city. The “smart” in Smart Cities is about taking this data and rapidly turning it into actionable insights.

According to IBM, a Smart City “makes optimal use of all the interconnected information available today to better understand and control its operations and optimise the use of limited resources”. It makes cities better places to live and enables the best use of what a city’s budgets, space, people and technologies.

By 2021, open and shared data has the potential to add $2.83 billion (10.4 Billion AED) to Dubai’s economy every year, according to a report produced by KPMG. That is a lasting and long-term impact on the city of Dubai and results from using data in a Smart City environment.

While Smart City deployments continue to grow, transportation is an area where we are already seeing the direct impact of data on how citizens live day-to-day. In modern cities, Bike Share Schemes have emerged as a healthy and efficient means of commuting and navigating a city.

These schemes are taking the Smart City concept and applying it to local challenges and succeeding in growing ridership and providing more citizens with healthy and efficient transportation.

It’s this citywide data that is at the heart of the three pillars of smarter public bike sharing system as set out in the Policy Framework for Smart Public-Use Bike Share by the Platform for European Bicycle Sharing & Systems (PEBSS). Data influences how rider priorities are met and how cities offer suitable conditions with sustainable technologies and innovation. Smart Cities support Bike Share Schemes by considering the people, infrastructure and technology elements.

To make data work for Bike Share Scheme operators, it needs to be collected, managed and analysed effectively. This is where Artificial Intelligence (AI) plays a crucial role. AI-based platform manages all available data to deliver valuable insights to operators. The illustration below highlights this.

 

 

 

 

 

 

 

 

 

 

 

 

 

Stage Intelligence’s Usability Data Reveals the Need for Better Bike Share Scheme Management

Insights from schemes in London, Paris, New York and Chicago show that data can be used to deliver optimised rider experiences and grow Bike Share Schemes

LONDON, 8 November 2017 – Stage Intelligence, the leading provider of Bike Share Scheme management solutions, has released its 2016 Q4 data on bicycle and docking station usability and availability across Bike Share Schemes in London, Paris, New York and Chicago. Usability is central to providing an exceptional rider experience and supporting the growth of Bike Share Schemes. It ensures bikes and docking stations are available when and where they are needed most.

The data reveals Chicago and London leading the group with an average usability figure for the quarter of 99.3% and 99.4% respectively. Chicago has been consistent in delivering a reliable Bike Share Scheme to its riders. London is also rated highly but this could indicate over servicing its market, which can create unnecessary costs and limit growth.

New York City ranks the lowest of the major cities with an average usability figure of 90.2% for the quarter. It means that on average 10% of riders at any given time cannot access the bikes or docking stations they want. Paris follows New York City with an average usability of 98.1% with usability dipping to lows of 76.7%. The inconsistency in the scheme means that it may be difficult for riders to depend on the scheme on a daily basis.

“Bike Share riders and cities benefit from Schemes that are easy and reliable to use,” said Tom Nutley, Head of Operations at Stage Intelligence. “Operators need to make sure that riders have access to bikes when and where they need them without over servicing the market. This is where the London scheme could be at most risk. The data is very positive for London but it could be using too much city resources to manage its operations especially when there is no need to.”

Stage’s usability measure compares all docking stations that are within easy walking/cycling distance in a published 500m radius from each other, which can be altered by the BICO platform. The platform takes into account each city’s SLAs when measuring the usability of a Bike Share Scheme. A docking station is usable if there are bikes and docking points available at the station itself or at one or more of its neighbours. The BICO platform can also set custom usability defined by a specific threshold or the SLAs of different cities.

“For Bike Share schemes to be seen as a real, public transport solution and a smart answer to urban mobility, they need to work as good or better than existing public transport services,” said Paul Stratta, Director, at Platform for European Bicycle Sharing & Systems (PEBSS), an initiative from the ECF. “Nowadays people go to bus and railway stations expecting the services to be there, and for it to operate on time. It should be the same with Bike Share schemes. Collecting and analysing data allows Bike Share operators, and their city clients, to get a big picture of operations and understand where bike share can improve and how exactly to do it.”

The neighbourhood approach goes beyond the usual cluster and geographic data collection method which may be a sub-optimal approach – especially in larger schemes. It can identify if Bike Share Schemes are managed well and if it is over or under servicing the cities and its riders. The BICO platform is dynamic to each city and considers each city’s user patterns and prioritisation as well as the SLAs they operate under to measure the usability of Bike Share Schemes and provide valuable data for operators.

“Our BICO platform allows us to take a deep dive into individual Bike Share Schemes in different cities and neighbourhoods around the world and find ways to improve usability within them,” said Toni Kendall-Troughton, CEO at Stage Intelligence. “We were particularly impressed with Chicago’s Bike Share scheme which was performing well without over servicing its neighbourhoods or the market. It was consistent throughout the quarter with high usability figures and over-performed on busy summer weekends to meet the rise in demand.”

 

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.

www.stageintelligence.co.uk

 

How Cities Can Support Bike Share Schemes

Cities and its citizens stand to gain a lot from the success of Bike Share Schemes. They provide a clean and healthy transportation option in increasingly congested urban areas. Cities now play a huge role in attracting new schemes and supporting the adoption with cyclists.

 

In an effort to grow and capture further market share, Bike Share Schemes are always looking to enter new markets. Chinese start-ups are a prime example of this with many expanding to nearby countries such as Singapore and even as far as the UK.

 

Operators are now looking at more than just market size. They need to be sure that cities can fully support the growth of their schemes with proper infrastructure, capital and in changing consumer perception if necessary.

 

We highlight what cities and city planners can do to help attract Bike Share Schemes and support the adoption and growth with its citizens:

 

  • Provide safe cycling infrastructure:

It is important that citizens have access to safe cycling infrastructure. By promoting safe cycling, more riders are likely to see Bike Share Schemes and cycling in general as a viable solution.

 

Suitable cycling lanes and places for docking stations will be critical to the adoption and growth of the schemes.

 

  • Promote a cycling culture

The citizens are one of the biggest assets for cities. By changing perceptions and encouraging people to cycle, Bike Share Scheme operators will see more value and potential in entering the market.

 

Aside from getting operators into the market, a cycling culture will also greatly benefit the city. As more people cycle, the image of cities itself can be reshaped while seeing environmental and cost benefits.

 

  • Work with existing transportation hubs 

A huge amount of Bike Share Scheme riders see it as a last-mile solution. Such schemes often help them get to their final destinations quicker, easier and more cost efficiently.

 

Through working with existing hubs by strategically placing bikes and docking stations, operators will have access to a large portion of the market. Cities can also offer its citizens an integrated transportation option.

 

  • Partner with operators

By working with operators, cities can ensure that Bike Share Schemes are set up to meet both the needs of the cities and citizens as well as the operators themselves. Showing a willing partnership is going to be more encouraging to new operators looking to enter and grow in a specific market.

 

Cities also have immense potential in capturing data. Operators need to make use of the data available in cities to increase ridership. Data within cities can be used to identify key areas that will be crucial to new schemes and is also highly helpful in predicting demand.

 

At Stage Intelligence, we use real-time data available in cities and Artificial Intelligence technology to simplify Bike Share Scheme logistics. By understanding the data, Bike Share Schemes can remove complexity and give bikes to riders when and where they want them.

 

To find out more about how Stage Intelligence can manage operations and increase ridership within your Bike Share Scheme, please contact

tom.nutley@stageintelligence.co.uk

 

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

Bike Share

Bike Share Schemes – In the Battle of Traditional vs Free-Floating

As increasing number of people look to get healthier, save money and time and preserve the environment, it’s no surprise that Bike Share Schemes are growing in popularity around the world.

With traditional schemes doing well in many cities, more and more start-ups are bringing out dockless Bike Share Schemes in the hope to take advantage of the rising on-demand culture. It gives riders convenience, choice and transparency over the more traditional docked schemes.

With a free-floating Bike Share Scheme, riders can use their smartphones to find, pay for and unlock bikes and leave the bike anywhere once they are done. It’s this level of simplicity that is making such schemes very popular.

In fact, in China, the most mature market for Bike Share Schemes, start-ups have had massive success entering the market, raising significant amount of funding and supplying vast amounts of bikes.

At the same time, the news in this market dominates around dockless bikes being stolen, damaged and left in an unsuitable place by their millions. For operators, they are constantly replacing bikes while cities and its citizens are seeing more cluttered bikes on their streets.

This raises the question; which schemes should cities adopt? Free-floating Bike Share Schemes are a topic of heavy debate for many cities due to the problems they can create if it remains unmanaged. The solution for many companies was to supply more bikes to the market, which only added to the problem.

But operators are now becoming savvier. They are offering parking spaces, rewards for good riders and improved apps to track their bikes. This is a step in the right direction to tackling the problem. With dockless bikes being a good way to get people cycling, it would be wrong to completely rule out the free-floating schemes.

Instead, operators should focus on how they can effectively manage existing resources to benefit themselves, the cyclists and cities. By effectively managing logistics, operators can remove bikes from overcrowded and unsuitable areas to supply it to areas that need them.

Through collecting and organising huge amounts of data available in cities, operators gain real insight into their schemes as well as the market. They gain cost efficiencies as they are not unnecessarily purchasing bikes and riders can trust that bikes are available when and where they need them.

At Stage Intelligence, we use close to infinite amount of data and Artificial Intelligence technology to offer a simple management process for Bike Share Schemes. By predicting demand and managing supply, operators see real benefits to their schemes.

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