*Trains of Data | Isochronic France*

The Senseable City Lab has partnered with the SNCF division for research and innovation to investigate new ways of gaining insight into how people access different parts of France using the country's high speed railway system. Today's transportation networks are densely packed with sensors and digital systems to facilitate routine operations. The two visual applications below combine several data sets generated by these systems to provide new perspectives on how France moves on rail.

. isochronic france
As train schedules, wait times between connections and delays vary throughout the day and over the course of a week, travel time between any location and the rest of the country changes constantly. In this visualization, deformations are proportional to travel time and reveal the changes in the course of a one week period. Users can select any one location as their origin to explore what cities can be reached within specific travel times. The interface allows users to access the information for a specific time or visualize this information over the course of a week.

. team
Kristian Kloeckl, project leader
Xiaoji Chen
Christian Sommer
Carlo Ratti, director
Assaf Biderman, associate director

a project by
MIT Senseable City Lab

in collaboration with
SNCF

Bien à vous,

@Morgane BRAVO

http://twitter.com/#!/MorganeBravo
https://twitter.com/#!/EcologieI