Coronavirus: How Trainline can tell if trains are safe to travel on

At the start of July, Trainline introduced the Crowd Alerts feature to its app, which enables users to share real-time feedback on whether it is possible to social distance on the train they have boarded.

The rail industry has yet to come up with a comprehensive application programming interface (API) to enable operators and third-party apps to share information on whether a train is full or overcrowded. Trainline has worked around this issue by encouraging users of its app to provide direct feedback, which is correlated and broadcast to every Trainline app user.

This is not the first time the company has crowdsourced train data. Trainline’s senior product director, Dave Slocombe, who led the team that developed the feature, says Crowd Alerts is an iteration of an existing feature in the Trainline app called BusyBot, which crowdsources data to help passengers identify the train carriages in which they are most likely to find an empty seat. For instance, if a customer is looking ahead at travel options for the next day, BusyBot shows a prediction of how busy the train might be, based on what people had fed back about the same train on previous days.

But unlike BusyBot, Crowd Alerts uses real-time feedback, rather than predictive analytics. The new functionality enables the Trainline customer community to alert one another if certain parts of a train (front, middle and back) are too busy to allow for social distancing.

The app takes real-time crowdsourced passenger data to give people information to enable them to decide if it is safe to travel. When customers tap the “live tracker” button for an upcoming journey in the Trainline app, a pop-up message asks them to confirm whether social distancing is possible on their train by clicking a “thumbs up” or “thumbs down” button.

If the customer clicks “thumbs down”, they will be asked to share whether they are in the front, the middle or at the back of the train. If a customer shares feedback to say social distancing is not possible, a bubble will be displayed for all customers searching this journey in Trainline’s app. An orange bubble means customers have reported the whole train as busy, while a blue bubble means customers have reported one section of the train (front, middle or back) as busy. The number in the bubble shows how many customers have shared this feedback. 

Peak travel changes

Trainline ran a trial of Crowd Alerts on Northern Rail to check if everything worked. The trial was used to assess the proportion of train journeys for which Trainline users actively gave feedback, and then measure customer satisfaction based on whether the information the app then provided to other Trainline users was useful or not.

“What we learnt from the trial is how few trains have poor social distancing – 90% of trains have good social distancing; only 6% of trains are busy,” says Slocombe.

Such data helps people feel confident they can return to train travel and social distance on their rail journeys. “Initially on lockdown, trains were very quiet, but, to aid recovery, we have to give people insight,” he adds.

One interesting thing to note is that rush hour peak times have changed, says Slocombe. “We are not yet fully at occupancy, but time of travel is quite different compared to before Covid. Ordinarily, it would be busy at peak times,” he says. But now,  busy travel times appear to have flattened out across the day.

Given that the app actively asks every customer to give real-time feedback, one of the key performance indicators for Slocombe and the team at Trainline is to have 80% feedback on the top 1,000 train journeys.