Posts

Artificial Intelligence for Modern Transport Operators

With an AI-based management platform, transport operators benefit from utilising a variety of data sources. For Bike Share Schemes, the platform can give insights as to where bikes are required and instantly inform distribution trucks about where bikes need to be picked up and dropped off. When information is being processed instantly and communicated to drivers, there is no lag between new demand emerging and that demand being served.

The value of AI is its ability to process vasts amount of data across a Smart City and make it useful for operators. Citizens get the resources they need and that supports the long-term sustainable growth of public transport.

As a form of modern transport, AI platforms simplify the management of Bike Share Schemes and deliver unique benefits to operators:

 

User Satisfaction

Increased user satisfaction by ensuring bikes and docking points are available when and where required

 

Cost Reductions

Improved operational efficiency and reduced requirement of operational resources

 

Remove Unnecessary Processes

Move away from traditional schedule or dispatch-based approaches and eliminate wasted journeys

 

New Visibility

Real-time truck locations, colour coded station status and station clustering as well as access to advanced analytics and actionable reports via a single dashboard

 

Increased Autonomy

Drivers receive direct communications often via a mobile app, allowing them to work independently of each other and the back office with less wasted time

 

Greater Control

Autonomous operation of a Bike Share Scheme that reflects real time conditions, offers consistent delivery instruction and a detailed overview of the scheme

 

Scenario Simulation

The simulation engine in such management platforms offers the ability to see responses to “what if” scenarios, allowing improved and more efficient resource planning

 

Scale Up

Increase the size of a Bike Share Scheme without the need to simultaneously increase available resource to maintain operation levels

 

The demand for public transport is growing with more citizens turning to Bike Share Schemes as a viable mode of transport. In a growing and competitive Bike Share market, AI could be the key to success for many operators. It has already proven its value to some of the largest schemes in the world and will continue to be at the heart of modern transportation in the future.

 

To find out more about the advantages of utilising AI in transportation read our full whitepaper on ‘How to Grow a Smart City Bike Share Scheme’.

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’

 

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 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