Data and the city

著者

書誌事項

Data and the city

edited by Rob Kitchin, Tracey P. Lauriault and Gavin McArdle

[Produced by Amazon], c2018

  • : pbk

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注記

Reprint. Originally published: Abingdon : Routledge ,2018

Original issued in series: Regions and cities 119

Printed in Japan

"Regional Studies Association, the global forum for city and regional research, development, and policy"--Cover

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

List of Figures List of Tables List of Contributors Chapter 1 Data and the City by Rob Kitchin, Tracey P. Lauriault and Gavin McArdle Part I: Data-Driven Cities Chapter 2 A city is not a galaxy: Understanding the city through urban data by Martijn de Waal Chapter 3 Data about cities: Redefining big, recasting small by Michael Batty Chapter 4 Data-driven urbanism by Rob Kitchin Part II: Urban Data Chapter 5 Crime data and analytics: Accounting for crime in the city by Teresa Scassa Chapter 6 Data provenance and possibility: thoughts towards a provenance schema for urban data by Jim Thatcher and Craig Dalton Chapter 7 Following data threads by James Merrick White Chapter 8 Sticky data - context and friction in the use of urban data proxies by Dietmar Offenhuber Part III: Urban Data Technologies Chapter 9 Urban data and city dashboards: Six key issues by Rob Kitchin and Gavin McArdle Chapter 10 Sharing and analysing data in smart cities by Pouria Amirian and Anahid Basiri Chapter 11 Blockchain City: Economic, social and cognitive ledgers by Chris Speed, Deborah Maxwell and Larissa Pschetz Chapter 12 Situating data infrastructures by Till Straube Chapter 13 Ontologizing the City by Tracey P. Lauriault Part IV: Urban Data Cultures and Power Chapter 14 Data cultures, power and the city by Jo Bates Chapter 15 Where are data citizens? by Evelyn Ruppert Chapter 16 Beyond quantification: a role for citizen science and community science in a smart city by Mordechai (Muki) Haklay Index

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