URBAN FLUX
PROJECT Big Data |
The Bartlett School of Architecture
COLLABORATOR Zhu Lin, Anchal Shamanur
SUPERVISORS Enriqueta Llabres-Valls, Zachary Fluker, Guilio Dini
DESCRIPTION
Old Street is known as the Silicon roundabout of London, making it extremely popular for both digital and physical activities. To better understand the activities at Old Street, we have mapped out the physical and digital activities that take place throughout the week (17- 23 February 2017). In relation to the physical events, the main activities considered in the data collection were: food and drink events, comedy events, musical events, and cultural events.
Regarding digital activities, we use Twitter as the digital platform, and the primary consideration was the hashtag ‘#Oldstreet’. The tweets have interesting value for our project as every tweet is embedded with a geo-location tag that lets us track the location of where the tweets were tweeted. Therefore, technically we collected any tweets from the Old Street area within the same period that contains the hashtag. The data measured was then used to map out the digital activities specified as the number of related tweets throughout the week and every two hours. The combination of physical and digital data was then overlaid to give initial direction towards scenarios where the project could take place in the Old Street neighbourhood.
COLLABORATOR Zhu Lin, Anchal Shamanur
SUPERVISORS Enriqueta Llabres-Valls, Zachary Fluker, Guilio Dini
DESCRIPTION
Old Street is known as the Silicon roundabout of London, making it extremely popular for both digital and physical activities. To better understand the activities at Old Street, we have mapped out the physical and digital activities that take place throughout the week (17- 23 February 2017). In relation to the physical events, the main activities considered in the data collection were: food and drink events, comedy events, musical events, and cultural events.
Regarding digital activities, we use Twitter as the digital platform, and the primary consideration was the hashtag ‘#Oldstreet’. The tweets have interesting value for our project as every tweet is embedded with a geo-location tag that lets us track the location of where the tweets were tweeted. Therefore, technically we collected any tweets from the Old Street area within the same period that contains the hashtag. The data measured was then used to map out the digital activities specified as the number of related tweets throughout the week and every two hours. The combination of physical and digital data was then overlaid to give initial direction towards scenarios where the project could take place in the Old Street neighbourhood.
