Stay up to date with notifications from The Independent

Notifications can be managed in browser preferences.

Could making the Tube go slower actually make it more efficient?

A new study published in a Royal Society journal says it could

Doug Bolton
Thursday 24 September 2015 20:09 BST
Comments
A Underground sign seen through the gates to an entrance at Paddington
A Underground sign seen through the gates to an entrance at Paddington (PA)

An academic study of public transport in London has suggested that Tube bosses should be wary of their trains travelling too quickly.

The study, conducted by mathematicians Emanuele Strano, Saray Shai, Simon Dobson and Marc Barthelemy, found that if Tube trains go too fast, overall congestion could increase.

The nature of London's train network means that there are a number of large interchanges where people switch modes of transport, outside of the city centre.

If Tube trains go too quickly, then these busy areas will become bottlenecks, which will result in congestion reaching back into central London.

Their findings, published in the Royal Society Interface journal, suggested that for optimal function, the Tube should travel at around 1.2 times faster than the average speed on the roads.

If this idea was adopted, it would see the optimum Tube speed re-defined as 13mph, slower than the current average of 21 mph.

However, while this theory may make sense on paper, it could have very different effects in real life.

Dr Barthelemy told the BBC that the study was theoretical, and more data would be needed to make specific recommendations.

However, the study does shed light on the sheer interconnectedness of London's transport network - from the Tube, to buses, to roads, each element can have a profound effect on the effciency of another.

Join our commenting forum

Join thought-provoking conversations, follow other Independent readers and see their replies

Comments

Thank you for registering

Please refresh the page or navigate to another page on the site to be automatically logged inPlease refresh your browser to be logged in