United Kingdom, London
FC-01x Future Cities (Self-Paced) - Exercise 1 : "Making the Invisible - Visible"
Uploaded on 2019-05-20 by Frederique Le Bescond
Please find below two "invisible information" that can be extracted out of the visible information of my photo: - Travel behaviors. We can see for a mother with her child cycling and few people walking close to a tube station. From this visible data we could try to information how the people are travelling and for what purpose at different time of the day. - Classification catchment. We can see a few high rise buildings in the back of the photo (behind the bridge). From this visible information we could try to identify why people are attracted to this area of the city. If we take the example of the travel behavior, by knowing how people are commuting at different period of the day, the city can plan the appropriate transportation policy. By planning the appropriate policy, the city will enable the population to enjoy their commute, to relieve traffic congestion on the road or in the public transport), and even maybe to create new way of commuting. This will enable to contribute to the planning of a more urban livable space.