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

 

Stage Intelligence Launches Accessible Artificial Intelligence Programme for Bike Share Schemes

Stage has introduced an introductory offer that enables small-to-medium Bike Share operators to leverage AI in the distribution and management of Bike Share Schemes

LONDON, 21 August 2017 – Stage Intelligence, a leading provider of Bike Share Scheme management solutions, has launched its accessible Artificial Intelligence (AI) programme to support small-to-medium Bike Share Scheme operators with affordable Artificial Intelligence (AI) technology. Operators with up to 2,000 bikes can leverage AI with real-time data and self-organising algorithm capabilities with Stage’s limited time introductory offer.

Stage Intelligence, founded in 2011, specialises in using AI solutions to tackle some of the most complex problems in transportation and the shared mobility market. In public Bike Share Schemes, Stage has been highly successful in supporting operators around the world in collecting data and optimising redistribution efforts. Operators are seeing more than 20% reduction in costs through improved operational efficiency with the BICO Solution. The introductory offer is levelling the playing field in a rapidly growing industry.

“Up until now, AI has been limited to the largest players in the market and required significant investment to develop and implement. Our accessible AI programme allows small and medium sized players to adopt new technology and use it to grow,” says Tom Nutley, Business Development Director at Stage Intelligence. “Bike Share Scheme operators globally can deploy AI and simplify how they manage their schemes. We are enabling more riders to enjoy an optimised Bike Share experience.”

BICO has been purpose-built to remove complexity and accelerate decision making. Through intelligence on weather conditions, seasonality, city events and a near infinite number of factors, operators can stay ahead of fluctuating demand. BICO enables Bike Share Scheme operators to take a smarter approach to redistribution by moving away from the traditional schedule or dispatch-based approach and eliminate wasted journeys.

“The shared mobility market is only the beginning for Stage and there are applications of our software in all aspects of transportation from public transit to optimising delivery. We have spent years enhancing our AI technology to support operators and ensure resources are there when and where people need them. Ultimately, this is what will help us to move beyond shared mobility and address the challenges of the wider industry” says Toni Kendall-Troughton, CEO at Stage Intelligence.

Stage’s BICO solution has been proactively managing one of biggest challenges in Bike Share, the availability of bikes and docking stations. Through AI, self-organising algorithms and real-time data, the software has simplified management and optimised operations for Bike Share Scheme operators worldwide. Stage’s state-of-the-art AI technology will be at the forefront of how people move from A to B in the future.

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

Stage Intelligence Integrates the GBFS Open Data Standard into its BICO Bike Share Recommendation Engine

Stage Intelligence Integrates the GBFS Open Data Standard into its BICO Bike Share Recommendation Engine

BICO uses Artificial Intelligence to enable bike share schemes around the globe to maximise their potential and deliver an optimal user experience.

LONDON, 21 August 2016 – Stage Intelligence, the leading provider of bike share scheme management solutions, has integrated the General Bikeshare Feed Specification (GBFS) open data standard into its BICO recommendation engine. The GBFS integration enables BICO to access real-time data feeds from all participating bike share schemes. Bike share schemes that use GBFS are able to rapidly deploy BICO and use Artificial Intelligence to optimise their bike share schemes.

BICO has been designed to simplify how bike share scheme operators manage and grow the bike share scheme using Artificial Intelligence. BICO takes into account an almost infinite number of factors and criteria in its decision making, enabling operators to leverage new levels of real-time intelligence.

“The GBFS integration accelerates access to real-time intelligence for participating bike share schemes. Bike share schemes that use BICO see more than a 15% reduction in operational cost while ensuring that bike share users always have access to the bike or dock they need,” said Toni Kendall-Troughton, CEO at Stage Intelligence. “We are the only provider of Artificial Intelligence-based solutions for bike share schemes with live deployments in major cities. The GBFS integration will support our growth around the world.”

The GBFS open data standard was adopted by the North American Bikeshare Association (NABSA) in November 2015. It makes real-time data feeds publicly available online in a uniform format so that map and transportation based apps can easily incorporate this data into their platforms.

“We are in a pivotal moment for bike share – one where technological advancements make bike share a more accessible form of transportation and easier to use than ever before.” said President of NABSA, Nicole Freedman. “The bike share industry has the opportunity to more seamlessly integrate into other forms of public transportation and trip-planning apps with the data GBFS offers.”

BICO uses real-time intelligence to understand and predict demand within a bike share scheme, while communicating where bicycles need to be redistributed to drivers via a mobile app. It removes the need for manual processes and decision making and enables operators to accurately predict demand across a coverage area. This means better service for customers, greater efficiency in operations, and the ability to scale and grow bike share schemes.

“Data drives innovation. The GBFS integration gives access to data around new scenarios and behavioural patterns within bike share schemes. That helps us to develop new solutions and gives our machine algorithms vital data for optimising bike share schemes in participating cities but also around the world,” said Francois McDonald, Solutions Director at Stage Intelligence.

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 bike share schemes. BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a bike share 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