There is a long history of governments, businesses, science and citizens producing and utilizing data in order to monitor, regulate, profit from and make sense of the urban world. Recently, we have entered the age of big data, and now many aspects of everyday urban life are being captured as data and city management is mediated through data-driven technologies.

Data and the City is the first edited collection to provide an interdisciplinary analysis of how this new era of urban big data is reshaping how we come to know and govern cities, and the implications of such a transformation. This book looks at the creation of real-time cities and data-driven urbanism and considers the relationships at play. By taking a philosophical, political, practical and technical approach to urban data, the authors analyse the ways in which data is produced and framed within socio-technical systems. They then examine the constellation of existing and emerging urban data technologies. The volume concludes by considering the social and political ramifications of data-driven urbanism, questioning whom it serves and for what ends.

This book, the companion volume to 2016’s Code and the City, offers the first critical reflection on the relationship between data, data practices and the city, and how we come to know and understand cities through data. It will be crucial reading for those who wish to understand and conceptualize urban big data, data-driven urbanism and the development of smart cities.

chapter 1|13 pages

Data and the city

ByRob Kitchin, Tracey P. Lauriault, Gavin McArdle

part I|42 pages

Data-driven cities

chapter 2|14 pages

A city is not a galaxy

Understanding the city through urban data
ByMartijn de Waal

chapter 3|13 pages

Data about cities

Redefining big, recasting small
ByMichael Batty

chapter 4|13 pages

Data-driven urbanism

ByRob Kitchin

part II|52 pages

Urban data

chapter 5|13 pages

Crime data and analytics

Accounting for crime in the city
ByTeresa Scassa

chapter 6|13 pages

Data provenance and possibility

Thoughts towards a provenance schema for urban data
ByJim Thatcher, Craig Dalton

chapter 7|13 pages

Following data threads

ByJames Merricks White

chapter 8|11 pages

Sticky data

Context and friction in the use of urban data proxies
ByDietmar Offenhuber

part III|78 pages

Urban data technologies

chapter 9|16 pages

Urban data and city dashboards

Six key issues
ByRob Kitchin, Gavin McArdle

chapter 10|14 pages

Sharing and analysing data in smart cities

ByPouria Amirian, Anahid Basiri

chapter 11|15 pages

Blockchain city

Economic, social and cognitive ledgers
ByChris Speed, Deborah Maxwell, Larissa Pschetz

chapter 12|15 pages

Situating data infrastructures

ByTill Straube

chapter 13|16 pages

Ontologizing the city

ByTracey P. Lauriault

part IV|38 pages

Urban data cultures and power

chapter 14|12 pages

Data cultures, power and the city

ByJo Bates

chapter 15|12 pages

Where are data citizens?

ByEvelyn Ruppert

chapter 16|12 pages

Beyond quantification

A role for citizen science and community science in a smart city
ByMordechai (Muki) Haklay