How data sharing and AI tools lead to healthier mobility

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Predicting future passenger flows to ease congestion and ensure a healthy fluidity, during a pandemic with changed travel patterns, is a significant challenge for authorities and transport operators in urban metropolises around the world, as is meeting the environmental targets necessary to protect a fragile planet.

The solution to these challenges can be found in a mobility approach that positions rail as the backbone of urban transport systems, interconnected with a diverse range of first- and last-mile solutions. For this type of multimodal system to be truly effective, operators must work together to both orchestrate and optimise their services through a transparent system of data sharing. 

Rail as the backbone of mobility:

However, rail alone cannot solve every urban transport problem and it is increasingly important to understand how other forms of transport link into the local ecosystem. While rail may be the beating heart of collective mobility, it must be connected with first- and last-mile solutions, enabling seamless transfers for door-to-door travel. For this to happen, operators need the right tools to both anticipate and adapt to demand.

Orchestrating mobility means integrating traditional forms of collective transport, such as trains, metros and tramways, with new means of transport, such as bike and taxi shares. As citizens move away from private vehicles to more sustainable forms of travel, Alstom is shifting its focus to a global mobility offer.

At the centre of this offer is rail, the greenest and safest mode of transport. By opting to take collective transport instead of using a personal vehicle, passengers reduce road congestion while actively lowering their carbon footprint.

In the European Union, urban metros and regional and high-speed trains emit up to 80% less carbon per passenger kilometre than private cars. Rail is also by far the safest mode of collective transportation.

Orchestrating multimodal mobility:

Passengers need multimodal mobility services that are consistent and reliable, especially in terms of the time taken to get from A to B every day. If the length of a commute varies by a large margin each day and is unpredictable, passengers may be reluctant to take collective transport. One key to reliable transportation is dependable and affordable first- and last-mile transport options, such as scooter and bike shares. Another is easy access to accurate information on all the transport options in a passenger’s city.

Currently, operators may provide multimodal information on mobile applications, but it is usually partial, pieced together by third parties from publicly available information, and is not always relevant. For multimodal mobility to work effectively, commuters need easy access to reliable information on all the transport options in their city. This requires local operators to work together to consolidate and share data.

To enable truly seamless transport, operators, telecommunications companies and local authorities must consolidate and share data effectively. Without this cooperation, no single operator can provide passengers with the level of reliability they need to use public transport day to day. A whole range of information, from ticketing, track and train sensors to weather reports, news, social media and CCTV can all power the data-driven analysis that will allow passengers to see the full range of transport options and capacity in real time.

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