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7 Benefits of an AI-Optimised Bike Share Scheme for Smart Cities

Smart Cities that have active and growing Bike Share Schemes create urban environments that are healthier, with less congestion and better placed to manage growing populations.

In 2016, 1.7 billion people or 23% of the world’s population lived in a city with at least 1 million inhabitants, according to the United Nations. By 2030, that will grow to 27%. Urbanisation is continuing to grow and that puts strain on transportation networks.

Public Transport in its current state is already stretched and cities are often challenged to fund new projects. With optimised Bike Share Schemes, cities can encourage citizens to cycle and avoid crowded transport systems.

As more Smart City initiatives are deployed, cities become data-rich environments that can benefit Bike Share Schemes. The emergence of the Internet of Things (IoT) and a growing number of connected devices deployed across a city will only expand the potential of Artificial Intelligence (AI) in Bike Share Schemes and transportation overall.

Expanding data sets managed with AI can deliver results that directly benefit riders and influence how a city functions and grows.

All cities can benefit from an AI-driven Bike Share Scheme but as smart technologies are rolled out widely, the depth of data will grow. Operators benefit from new and increasingly precise insights while riders will see Bike Share Schemes optimised in new ways.

With AI, operators can ensure a well-run Bike Share Scheme that offers:

 

A Cleaner Transport Option:

For cities to help tackle climate change and deliver a better environment for citizens to live in

 

Healthier and Happier Riders:

Through daily exercise

 

Effective First & Last Mile Solution:

Since it can be significantly cheaper and faster than other public transport options for short distances

 

Reduced Strain on Infrastructure:

As less people are using public transport that requires continuous upkeep and maintenance

 

More Investment in Cities:

With less need for maintenance and new projects, Smart Cities can use funding on other much needed transport infrastructure such as cycling lanes and incentives

 

Manage Rising Transport Demand:

With increasing urban-dwellers, cities can offer more transport options with a Bike Share Scheme to accommodate this rise

 

City’s Brand Image:

Can be shaped by a cycling culture, supporting tourism and other thriving economic industries

 

Bike Share Schemes are like no other modes of transport. It offers a viable transportation option to many crowded cities that deliver a range of benefits to both cities and its citizens.

To find out more about the benefits of Bike Share Schemes to operators, cities and citizens, read our full white paper on ‘How to Grow a Smart City Bike Share Scheme’.

AI Technology and Big Data are Building Smarter Cities

As technology continues to advance, cities don’t want to be left behind. Cities around the world are turning to Artificial Intelligence (AI) to facilitate and support the drive towards ‘Smart Cities’.

Organisations are realising the potential of cities in collecting and using valuable data to benefit its citizens. Big Data and AI are helping to drive new innovations and disruptions, especially within the transport sector.

We give a round-up of key advancements in AI technology with city environments. These articles show a future where AI could be at the heart of how we get from A to B.

 

  • AI Traffic Lights

AI Traffic lights, set to be implemented in Milton Keynes, UK for 2018, will aim to offer a more reactive solution to managing rush hour. Traffic lights at present run in sequence. The AI fitted lights will cover a 50 square mile area around busy zones to monitor traffic and lower congestion, making it safer for cyclists, buses and other vehicles.

The AI traffic lights are the first step to improve traffic by integrating with existing road signs and management systems. In the future, the traffic lights will be able to communicate with driverless cars to ensure they work effectively.

 

  • NVIDIA’s AI Security Camera

According to NVIDIA, there are hundreds of millions of surveillance cameras around the globe, expected to reach approximately 1 billion by 2020. The amount of data that this creates is difficult to manage by human beings alone.

This is where AI technology can play a huge part. AI can be used to analyse vast amounts of data and accurately drive insights. Connected to the Cloud, AI-powered systems can track and monitor behaviour as well be a solution to a lot of city problems.

 

  • Connecting the Car Industry with AI

 AI has transformed the transportation industry with new business models and ways of operating. The car industry is not any different. AI has bought new features and increased connectivity options while promising a future of driverless cars.

The advancements in AI are making vehicles safer, smarter and cost efficient for people. From major automotive brands to start-ups, AI is proving its value in improving operations and bringing innovations.

 

  • Launching a ‘Pop-up’ Bus

Citymapper’s CMX1, dubbed the ‘pop-up bus’, aims to offer bus routes that change dynamically according to traffic and demand. It analyses vast amounts of data to find where demand is and offer a bus route to meet that demand.

Public transport has remained unchanged over the years. Citymapper’s pop-up bus is a good example of how optimising your resources can find new efficiencies and benefits to operators, even in old traditional models.

 

At Stage, we use Artificial Intelligence to remove complexity in Bike Share Schemes. Through using real-time data, we can predict demand and manage supply to increase ridership and grow Bike Share schemes.

To find out more about how Stage Intelligence’s AI solution can simplify logistics within your Bike Share Scheme, please contact tom.nutley@stageintelligence.co.uk

 

Bike Share

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

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-flowing 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-flowing 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-flowing 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