Wednesday, 25 February 2009

Urban Diary London Map

The map of the last three weeks keyed by participant. The dotted lines indicate connections within a trip sequence but without proper GPS signal.

Image by UrbanTick for UrbanDiary using the to convert the data

There are a number of patterns showing up now. On of the main ones is the difference between workweek and weekend. The workdays are back and forward movement between home and the work place. The London characteristic here is a sort of a star shape. People live outside and travel linear into the centre and back out. For some participants the workweek tracks are only two little islands on the map, connected through a doted line, as a lot of traveling is underground.
The weekend travel pattern on the other hand is mainly around the home location and tends to be directed outwards. Very often this is directed by the location of friends and family.


radek said...

nice post :]

just one question regarding 'connections within a trip sequence but without proper GPS signal'..

are these assumed to be the connections between last proper signal reception and the location where gps unit picked up signal again?


fan said...

Yes you're right, this is the line between the points of signal reception. But only within one day trip, not across the unit of one day...
I will refresh the map in a minute, just received some more data from this week, cheque it out.

fan said...

sorry it has taken a little longer but it is online now...

radek said...

seems like quite a lot of information is lost :/ could u estimate what are the main reasons of loosing signal? tube? high buildings?

seems like London is quite difficult city to conduct gps research of this kind?

but all in all.. good job!

fan said...

The main reason for loosing signal is probably the density of the built environment in central London in general and the mode of transport in particular.
Most of the lost long distance journeys are probably down to tube travel, local and smaller bits are dependent on either slow device and and/or the hight of the surrounding buildings. There are a lot of factors, as you can see. But, I am quite pleased with the data the participants a collecting, as non o them have particular GPS experience.

Nick Austin said...


Great bit of visualization!! I am carrying out some research in London looking at how we can deduce mode of travel just using GPS signal.

Interesting there are a lot of missing links (common in London!).

Whilst the theory exists to process the GPS data to mode i was wondering if anyone knew of any software that would do it?


fan said...

Thanx for your comment.
There are indeed lot of missing links just because of the environment. I am not sure what processing you could do to this to recover the data. Are you thinking of generating point trough GIS queries?

Nick Austin said...

Hello again

No i am looking into creating some software to process the trips to identify mode of travel. So where there are "gaps" data and the known end points are within a set distance of an underground station, then a link is created to identify "tube" as mode.

Just realised you are CASA. I did the MSc GIS at UCL and went to quite a few CASA seminars!