Select your localized edition:

Close ×

More Ways to Connect

Discover one of our 28 local entrepreneurial communities »

Be the first to know as we launch in new countries and markets around the globe.

Interested in bringing MIT Technology Review to your local market?

MIT Technology ReviewMIT Technology Review - logo

 

Unsupported browser: Your browser does not meet modern web standards. See how it scores »

{ action.text }

Since 2003, some 10 million RFID cards have been issued to commuters using the London transport network. The cards are precharged with credit which is then used to pay for journeys on buses and trains.

For scientists studying the behaviour of commuters, the system has generated a firehose of data. Camille Roth at the Institut des Systemes Complexes in Paris and a few buddies have got their hands on the data for the 11.2 million trips that took place during the week of 31 March to 6 April 2008. This data included the start and finishing point of each journey as well as the journey time.

The data gives one of the most detailed insights into commuting patterns ever assembled. It has long been known that London has three main centres for commuting: the West End, the City and the Midtown area between them. However, nobody has been able to tease apart the structure of commuting in any higher resolution.

Until now. The new data shows for the first time that that there are numerous smaller centres as well. These can be ranked according to their total inflow each day. Just behind the big three are centres such as the Docklands area in East London, the area around Parliament and the area to the south west of this near Victoria and Green Park, which the authors call the Government area.

At even higher resolution, it is possible to see centres of inflow around the museum area of South Kensington, the Northern business area around Camden Town and so on.

That’s not entirely unexpected but it is a step beyond the standard theoretical description of city commuting.

The reason it is important, of course, is that it gives city planners a starting point from which they can model the effects on th transport infrastructure of new urban projects.

The big fear, of course, centres on privacy issues. It isn’t clear to what extent the data is anonymised before it is released. Could it be possible that some suitably clever individual with an electoral register and a few business directories could begin to link individual journeys with specific individuals?

After the Netflix and AOL scandals, only the brave (or perhaps stupid) would rule it out.

Ref: arxiv.org/abs/1001.4915: Commuting In A Polycentric City

3 comments. Share your thoughts »

Tagged: Communications

Reprints and Permissions | Send feedback to the editor

From the Archives

Close

Introducing MIT Technology Review Insider.

Already a Magazine subscriber?

You're automatically an Insider. It's easy to activate or upgrade your account.

Activate Your Account

Become an Insider

It's the new way to subscribe. Get even more of the tech news, research, and discoveries you crave.

Sign Up

Learn More

Find out why MIT Technology Review Insider is for you and explore your options.

Show Me