Data-mapping work by Eric Fischer suggests that it could. If the volume of geo-tagged Tweets is used a proxy for traffic levels, urban planners could use this data to fine-tune existing transport networks and establish where new routes are needed.
Fischer took millions of geolocated Tweets from across the world, cross-referenced them with data on known transport nodes, and used the results to plot the most heavily used routes in cities, countries and continents.
He then created what are in effect transit cartograms, with the thickness of a road or other mass transport line corresponding to the volume of Tweets sent along its path.
Below is a selection of the maps he produced. The full series of images can be found here at Fischer’s Flickr account.
Fischer created this map using data from over one million Tweet-based trips in August 2011. Advocates of HS2 may feel somewhat vindicated.
Using data from Twitter covering 60,000 trips, aggregated within a ten mile radius, Fischer created this map of Europe’s transport network. He acknowledges that disproportionately high Twitter usage levels in England and the Netherlands has skewed the overall picture.
Broadway shows clearly as the most heavily used route, with subway networks also well-defined.
Trips across the bay and along the peninsula dominate, though aggregation radii make it difficult to know exactly which road or rail line was being used.
The Chicago map was made by plotting ten thousand Twitter-sourced points over an OpenStreetMap grid. Fischer points out that the thicker line heading to the southwest doesn’t correspond to any major road or rail line.