Dream States : Smart Cities and the Pursuit of Utopian Urbanism

628 TWD
會員價
565
English

產品說明

WINNER OF THE 2022 WRITERS' TRUST BALSILLIE PRIZE FOR PUBLIC POLICY SHORTLISTED FOR THE 2022 DONNER BOOK PRIZE WINNER OF THE PATTIS FAMILY FOUNDATION GLOBAL CITIES BOOK AWARD Is the ‘smart city’ the utopia we’ve been waiting for? The promise of the so-called smart city has been at the forefront of urban planning and development since the early 2010s, and the tech industry that supplies smart city software and hardware is now worth hundreds of billions a year. But the ideas and approaches underpinning smart city tech raise tough and important questions about the future of urban communities, surveillance, automation, and public participation. The smart city era, moreover, belongs firmly in a longer historical narrative about cities — one defined by utopian ideologies, architectural visions, and technological fantasies. Smart streetlights, water and air quality tracking, autonomous vehicles: with examples from all over the world, including New York, Los Angeles, Boston, Portland, and Chicago, Dream States unpacks the world of smart city tech, but also situates this important shift in city-building into a broader story about why we still dream about perfect places.   "John Lorinc’s incisive analysis in Dream States reminds us that the search for urban utopia is not new. Throughout the book, Lorinc underscores the fact that a gamut of urban innovations – from smart city megaprojects to e-government to pandemic preparedness tools – only provide promise when scrutinized together with the political, economic, social, and physical complexities of urban life." – Shauna Brail, University of Toronto "Dream States: Smart Cities, Technology, and the Pursuit of Urban Utopias takes us on a fascinating journey across world cities to show how technology has shaped them in the past and how smart city technology will reshape them in the future. This book is essential reading for policy makers, researchers, and practitioners interested in understanding the opportunities and challenges o

WINNER OF THE 2022 WRITERS' TRUST BALSILLIE PRIZE FOR PUBLIC POLICYSHORTLISTED FOR THE 2022 DONNER BOOK PRIZEWINNER OF THE PATTIS FAMILY FOUNDATION GLOBAL CITIES BOOK AWARDIs the ‘smart city’ the utopia we’ve been waiting for?The promise of the so-called smart city has been at the forefront of urban planning and development since the early 2010s, and the tech industry that supplies smart city software and hardware is now worth hundreds of billions a year. But the ideas and approaches underpinning smart city tech raise tough and important questions about the future of urban communities, surveillance, automation, and public participation. The smart city era, moreover, belongs firmly in a longer historical narrative about cities — one defined by utopian ideologies, architectural visions, and technological fantasies. Smart streetlights, water and air quality tracking, autonomous vehicles: with examples from all over the world, including New York, Los Angeles, Boston, Portland, and Chicago, Dream States unpacks the world of smart city tech, but also situates this important shift in city-building into a broader story about why we still dream about perfect places. "John Lorinc’s incisive analysis in Dream States reminds us that the search for urban utopia is not new. Throughout the book, Lorinc underscores the fact that a gamut of urban innovations – from smart city megaprojects to e-government to pandemic preparedness tools – only provide promise when scrutinized together with the political, economic, social, and physical complexities of urban life." – Shauna Brail, University of Toronto"Dream States: Smart Cities, Technology, and the Pursuit of Urban Utopias takes us on a fascinating journey across world cities to show how technology has shaped them in the past and how smart city technology will reshape them in the future. This book is essential reading for policy makers, researchers, and practitioners interested in understanding the opportunities and challenges of smar

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