University of Hertfordshire

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Big Data Generate New Spatialities

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Original languageEnglish
Journalarq: Architectural Research Quarterly
Journal publication date2018
Publication statusIn preparation - 2018

Abstract

The introduction of big data in the design process brought significant differences in the final outcome of architectural projects. This study claims that the big data-driven architectures have new spatial characteristics that are not noticeable in the data-driven projects realised between the 1990s and 2000s. The first part of this work discusses the conceptualisation of digital design and data-driven projects elaborated around the 1990s and characterised by the notions of Curvilinearity (Lynn 1993), Cyberspace (Frazer 1995b), Non-linearity (Jencks 1997), Non-standard forms (Spuybroek 1998), and Datascape (Maas 2001, Burry & Burry 2010). Part I concludes with a synthesis of descriptive characteristics. The second part scrutinises a series of big data-driven projects on various scales, extrapolating a number of space-related attributes. From the comparison between the spatial characteristics provided for the data-driven projects (1990-2010) and the big data-driven projects (2010 onwards), it emerges a first set of spatial characteristics of the big data spatiality (Kitchin 2014a).

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