SEARCH THE DATABASE

While aerial photography is associated with vertical objectivity and spatial abstractions, street-level imagery appears less political in its orientation to the particularities of place. I contest this assumption, showing how the aggregation of street-level imagery into “big datasets” allows for the algorithmic sorting of places by their street-level visual qualities. This occurs through an abstraction by “datafication,” inscribing new power geometries onto urban places through algorithmic linkages between visual environmental qualities, geographic information, and valuations of social worth and risk. Though largely missing from media studies of Google Street View, similar issues have been raised in critiques of criminological theories that use place as a proxy for risk. Comparing the Broken Windows theory of criminogenesis with big data applications of street-level imagery informs a critical media studies approach to Google Street View. The final section of this article suggests alternative theoretical orientations for algorithm design that avoid the pitfalls of essentialist equations of place with social character.

The collection of large-scale administrative records in electronic form by many cities provides a new opportunity for the measurement and longitudinal tracking of neighborhood characteristics, but one that will require novel methodologies that convert such data into research-relevant measures. The authors illustrate these challenges by developing measures of “broken windows” from Boston’s constituent relationship management (CRM) system (aka 311 hotline). A 16-month archive of the CRM database contains more than 300,000 address-based requests for city services, many of which reference physical incivilities (e.g., graffiti removal). The authors carry out three ecometric analyses, each building on the previous one. Analysis 1 examines the content of the measure, identifying 28 items that constitute two independent constructs, private neglect and public denigration. Analysis 2 assesses the validity of the measure by using investigator-initiated neighborhood audits to examine the “civic response rate” across neighborhoods. Indicators of civic response were then extracted from the CRM database so that measurement adjustments could be automated. These adjustments were calibrated against measures of litter from the objective audits. Analysis 3 examines the reliability of the composite measure of physical disorder at different spatiotemporal windows, finding that census tracts can be measured at two-month intervals and census block groups at six-month intervals. The final measures are highly detailed, can be tracked longitudinally, and are virtually costless. This framework thus provides an example of how new forms of large-scale administrative data can yield ecometric measurement for urban science while illustrating the methodological challenges that must be addressed.

Increasing amounts of information processing capacity are embedded in the environment around us. The informational landscape is both a repository of data and also increasingly communicates and processes information. No longer confined to desk tops, computers have become both mobile and also disassembled. Many everyday objects now embed computer processing power, while others are activated by passing sensors, transponders and processors. The distributed processing in the world around us is often claimed to be a pervasive or ubiquitous computing environment: a world of ambient intelligence, happening around us on the periphery of our awareness, where our environment is not a passive backdrop but an active agent in organizing daily lives. The spaces around us are now being continually forged and reforged in informational and communicative processes. It is a world where we not only think of cities but cities think of us, where the environment reflexively monitors our behaviour. This paper suggests that we need to unpack the embedded politics of this process. It outlines the three key emerging dynamics in terms of environments that learn and possess anticipation and memory, the efficacy of technological mythologies and the politics of visibility. To examine the assumptions and implications behind this the paper explores three contrasting forms of ‘sentient’ urban environments. The first addresses market-led visions of customized consumer worlds. The second explores military plans for profiling and targeting. Finally, the third looks at artistic endeavours to re-enchant and contest the urban informational landscape of urban sentience. Each, we suggest, shows a powerful dynamic of the environment tracking, predicting and recalling usage.