University of Hertfordshire

By the same authors

Standing out in a crowd: Big Data to produce new forms of publicness

Research output: Chapter in Book/Report/Conference proceedingChapter

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Original languageEnglish
Title of host publicationArchitecture and the Smart City
PublisherRoutledge
Chapter17
Number of pages11
ISBN (Electronic)ISBN 9780429324468
ISBN (Print)9780367342074
Publication statusPublished - 5 Nov 2019

Publication series

Name'Critiques' (Critical Studies in Architectural Humanities) series
PublisherRoutledge

Abstract

In opposition to the perception that smart cities are synonymous with computer generated standardisation, where people are considered a generic sampled category, this study claims that extensive use of smart and sensing technologies in the urban environment will result in an elevated future role for the individual over the public. The assumption that a process of unified standardisation will envelop human activities in the public space is superseded by a new focus on individuality. This is characterised by the increasing amount and accuracy of available information in the public domain underpinned by big data. Tomorrow’s public space is a granular (Rabari and Storper 2014) and complex (Batty 2005) combination of individual contributions to public life. This work discusses the positions proposed by Kitchin and Dodge (2011); Carpo (2014); Mayer-Schönberger; and Cukier (2013) et al. where the idiosyncratic role of the individual is put at the forefront of the production of the public space. Through several case studies based on open datasets in different cities, this study analyses how the individual will influence and play a vital role in the making of tomorrow’s public realm; with its attributes and unique spatiotemporal characteristics. Unique data about each individual are perceived by sensors and computers within a generic machine-learning framework that continuously scrutinises the built environment. This rich vein of information is then stored, interpreted, identified, and converted by AI-based machines to return a highly accurate definition of publicness. A blockchain-based system will ensure individuality of expression is cherished throughout the public realm: protecting both the individuality of the occupant, as well as individuality through idiosyncratic, ‘imperfect ‘design. This work supports that smart technology will enhance, not replace individual expression or endeavour in cities. Cities will instead become more people-centred through the innovative harvesting and use of information, manifest in big data.

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