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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’.

How to Grow a Smart City Bike Share Scheme

Smart Cities offer an entire ecosystem of valuable and relevant data that Bike Share Scheme operators can use. Smart City data can be used to identify trends and provide actionable insights that can drive the growth of Bike Share Schemes.

These four questions about data hold key information that Bike Share Scheme operators can use to reshape their approach:

  • Who are they?
  • What is happening in the City?
  • Where are they going?
  • What are they saying?

Bike Share Scheme operators need to know not only who their riders are but also the potential of the market. Citywide census and records collect data on population and demographics as well as human behaviour that can be used to predict the future of such schemes for operators. Trends in demographics can be identifiers for areas of growth in specific markets.

Cities also offer the potential to track a range of real-time data from traffic to weather and major events. Understanding how areas are being used at different times of day, by different types of people, and in response to different events through real-time data, can be highly beneficial to operators. A dynamic scheme is the first step in providing mobility options that work for all.

How people move in urban cities is just as important as identifying who they are. Fortunately, cities have a way of capturing this data too. Mobile phones, parking sensors, congestion zones all yield data about how and when people are moving around the city. Transport for London (TFL), a body responsible for the cities transport system, can track passenger movements through the Oyster card. For Bike Share Scheme operators, this data allows them to provide resources that are better attuned to the rider’s needs.

In a more connected and social world, it is also much easier to find out what people are thinking.
As an example, sentiment analysis can be used to track attitudes and opinions on social media. Operators can use this data to see how people react, what they like and dislike as well identify any opportunities for improvement. Ridership is the key to success for Bike Share Schemes and insights on this data can go a long way in ensuring the satisfaction of riders.

The challenge for operators is in how this data is collected and managed. Smart Artificial Intelligence (AI) systems will make use of public data feeds and encrypt user information to ensure the security of data.

For Bike Share Schemes and other transportation networks, it is imperative that they comply with existing and soon-to-be implemented regulations on data collection, privacy and usage such as the General Data Protection Regulation (GDPR). The EU GDPR replaces the Data Protection Directive 95/46/EC and was designed to harmonise data privacy laws across Europe, to protect and empower citizens and to reshape the way organisations approach data privacy.

To find out more about what data is available in Smart Cities, read our full white paper on ‘How to Grow a Smart City Bike Share Scheme’.

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

 

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