The sharing and peer-to-peer economies like AirBnB, Uber etc. have transformed the manner in which the city is understood and experienced, as well as the means by which its infrastructures are utilised and even appropriated. This has prompted a paradigm shift from ‘ownership’ of assets and property to ‘access’ to services through subscription.
Cities are about access not ownership?
An internet-of-things i.e. - virtual applications, transactions and ubiquitous data now have a more direct impact on the physical spaces in the city. Co-referencing and hybridising datasets generated by these discrete and disparate platforms offers a more holistic insight into behaviours of cities and its networks.
Could data prompt more innovative patterns of land use? Will the sharing economy make our built environment more efficient?
This project is empowered by a process of data scrapping – whereby geo-referenced information and data from web-based Application Programming Interfaces (APIs) can be extracted into design environments. Here raw information is co-referenced.
The platform is thus a conduit between APIs and computer aided design application (Rhinoceros 3D) through an algorithmic visual programming language (Grasshopper).