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E-book Seeing the City Digitally : Processing Urban Space and Time
This book explores what’s happening to ways of seeing urban spaces in the contemporary moment, when so many of the technologies through which cities are visualized are digital. It is by no means comprehensive. Its chapters all explore specif ic examples of different kinds of digital technologies and examine different sorts of images in different cities: many other technologies, images and cities could have been their focus. However, cumulatively the chapters suggest some of the most important ways in which seeing urban spaces through digital devices is reconf iguring both how cities appear and what happens there.The argument that many cities – perhaps all cities, in different ways – are now digitally mediated is an increasingly familiar one (early statements include Boyer 1996; Manovich 2006; Mitchell 2003). McQuire (2016, 1), for example, concludes his discussion by identifying the extension of digital networked media throughout urban space as “one of the key features dis-tinguishing twenty-f irst-century urban experience from earlier modes of urban inhabitation”. The social, experiential, and physical spaces of a city are more and more often def ined, navigated, and experienced with data generated by digital devices. Software-enabled technologies work with digital data of many kinds, in a huge array of urban infrastructures and institutions. Data is generated, integrated, and analysed by various human and algorithmic agents, with consequences for things as diverse as the allocation of housing and healthcare, traff ic management, policing, and the provision of infrastructure and services (see for example Anthopoulos 2017; Aurigi and Willis 2020; Eubanks 2017; Graham 2005; Marvin, Luque-Ayala, and McFarlane 2016; Willis and Aurigi 2018). Smartphones and their cameras and apps mediate more and more of everyday urban life, from socializing to travelling to eating. For Kitchin and Dodge, this means that cities must be understood in part at least through the organizational geometries of “code/space”: “code/space occurs when software and the spatiality of everyday life become mutually constituted” (2011, 16).Much recent discussion of code/space in urban studies has centred on the generation and integration of digital data for urban planning and city management. This was the focus of early accounts of “informational” and “intelligent” cities (see for example Batty 1990; Castells 1989) and it has remained central to much of the recent extensive discussion of the “smart city”. In these discussions, a lot of attention has been given to how city authorities install and utilize digital infrastructure and data f lows. The close relationship between digital infrastructure and the neoliberal privatization of city governance was noted early on and continues to be the focus of much criticism (Cardullo and Kitchin 2019; Hollands 2008). More recently, understanding the digital mediation of cities has had to engage with corporate digital platforms like AirBnB, Facebook, Instagram, and a plethora of ride-sharing and food-delivery apps, among many others. These platforms also do what smart cities purport to do: gather data, integrate data, and put data to use. However, while much smart city activity retains at least some relation to the forms and ideals of civic governance – even if only lip service – platform urbanism is largely driven by the search for prof it (Cowley, Joss, and Dayot 2018; Sadowski 2020). Platforms are owned by companies making money from vast, globally-integrated data assets and their machine-learning algorithms (Barns 2020a; Hodson et al. 2020).
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