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Uneven Innovation: The Work of Smart Cities PDF

323 Pages·2020·19.368 MB·English
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UNEVEN INNOVATION UNEVEN INNOVATION THE WORK OF SMART CITIES JENNIFER CLARK Columbia University Press New York Columbia University Press Publishers Since 1893 New York Chichester, West Sussex cup.columbia.edu Copyright © 2020 Columbia University Press All rights reserved Library of Congress Cataloging-in-Publication Data Names: Clark, Jennifer, 1972– author. Title: Uneven innovation : the work of smart cities / Jennifer Clark. Description: 1st Edition. | New York : Columbia University Press, 2020. | Includes bibliographical references and index. Identifiers: LCCN 2019026398 (print) | LCCN 2019026399 (ebook) | ISBN 9780231184960 (cloth) | ISBN 9780231184977 (paperback) | ISBN 9780231545785 (ebook) Subjects: LCSH: Cities and towns—Technological innovations. | City planning—Technological innovations. | Cities and towns—Growth. Classification: LCC HT153 .C583 2020 (print) | LCC HT153 (ebook) | DDC 307.76—dc23 LC record available at https://lccn.loc.gov/2019026398 LC e-book record available at https://lccn.loc.gov/2019026399 Columbia University Press books are printed on permanent and durable acid-free paper. Printed in the United States of America Cover design and illustration: Henry Sene Yee Scaffolding image: © Shutterstock CONTENTS List of Illustrations vii Preface xi 1 Uneven Innovation: The Evolution of the Urban Technology Project 1 2 Smart Cities as Solutions 31 3 Smart Cities as Emerging Markets 57 4 Smart Cities as the New Urban Entrepreneurship 95 5 Smart Cities as Urban Innovation Networks 125 6 Smart Cities as Participatory Planning 156 7 Smart Cities as the New Uneven Development 181 8 Conclusions: The Local Is (Not) the Enemy 201 Epilogue: The View from Inside the Urban Innovation Project 217 Notes 231 Bibliography 267 Index 295 ILLUSTRATIONS FIGURES Figure 2.1: “Intelligent Infrastructure” 35 Figure 2.2: Smart Card Systems for Public Transit 36 Figure 2.3: Turning the Amazon Logo Upside Down 39 Figure 2.4: Public Opposition to Subsidies for Private Development 40 Figure 2.5: Connecting the Tech Sector’s Tax Avoidance Strategies to Local Expectations about Corporate Citizenship 41 Figure 3.1: Big Belly Trash Can in Melbourne, Australia 65 Figure 3.2: Big Belly Trash Can in Nottingham, England 66 Figure 3.3: Integrated Urban Parking System 80 Figure 3.4: Uses of Real-Time Data for Car Parks 80 Figure 3.5: Industrial Data Production Process 89 Figure 4.1: Regeneration and Reinvestment Projects near Brindleyplace and Gas Street Basin, Birmingham, England 98 Figure 4.2: Regeneration and Reinvestment Projects near Brindleyplace and The Mailbox, Gas Street Basin, Birmingham, England 99 Figure 4.3: The BeltLine Entrance to Ponce City Market, Atlanta 102 Figure 4.4: A “Maker Space” in the Ponce City Market, Atlanta 103 Figure 4.5: Beginnings of the Redevelopment of the Brooklyn Navy Yard 103 Figure 4.6: Building 92 at the Brooklyn Navy Yard 104 viii Illustrations Figure 4.7: Sign with the Georgia State Capitol’s “Gold Dome” in the Background, Atlanta 105 Figure 4.8: A LinkNYC Kiosk Integrates Private Advertising with Public Services 106 Figure 4.9: LinkNYC Kiosk Incorporates Emergency Public Services: 911 Reporting 107 Figure 4.10: LinkNYC Kiosk Combining Public Phone, Public Wi-Fi, Device Charging Station, Emergency Services, and Advertising 108 Figure 4.11: A Traditional Kiosk Providing One-Way Information Flow and No Connectivity at the Old Birmingham Central Library 108 Figure 5.1: Contained Folding Bicycle Service, Birmingham, England 149 Figure 5.2: Bicycling Rentals with Fixed Docking Stations, Cluj-Napoca, Romania 150 Figure 5.3: Bicycle Rentals with Fixed Docking and Adjacent to Union Station, Denver 150 Figure 5.4: Scooters from Competing Companies on the Sidewalk in Washington, DC 151 Figure 5.5: Docked Scooters as Fixed Urban Sensor Systems. Moscow, Russia 151 Figure 5.6: The Launch of the City of Atlanta’s North Avenue Smart Corridor Testbed Project at The Ponce City Market 153 Figure 8.1: A Parking Garage for Bicycles Owned by Individuals, Munich, Germany 206 Figure 8.2: A Secure, Designated Bicycle Parking Space in a Historic District, Old Montreal, Canada 207 Figure 8.3: The Cheonggyecheon, Seoul, South Korea 208 Figure 8.4: The High Line, New York City 209 Figure Epilogue.1: The Georgia Institute of Technology’s University– City Partnership Team at the Launch of the City of Atlanta’s North Avenue Smart Corridor Project at The Ponce City Market, Atlanta 219 Illustrations ix TABLES Table 3.1: The Scales of Smart Cities Markets 69 Table 4.1: Work Space as a Service 119 Table 4.2: Testing Explanations for the Rise of Flexible Work Spaces 120 Table 4.3: Common Services Provided by Coworking Firms 122 Table 5.1: A Typology of Urban Innovation Networks 138 PREFACE T HE smart cities project—as a discourse and a practice— first came on the popular scene with initiatives such as IBM Smarter Cities in the early 2010s. As with many technology initiatives, the novelty of the smart cities project captured the public’s imagination. Technology firms, the auto industry, and business consultants and advisers argued that self- driving cars would soon disrupt urban transportation systems and reshape the built environment as we know it. Soon policy makers, urban planners, and urban designers came to see the smart cit- ies project as an opportunity to integrate the new technologies that were changing industries, including advanced manufactur- ing, energy, into the infrastructure and operations of cities. The resulting intelligent infrastructure, it was thought, would then serve as the platform for sustained economic growth. The smart cities project thus became an economic development project. In February 2016, the President’s Council of Advisors on Science and Technology (PCAST) released a major report, “Technology and the Future of Cities,” which outlined a strat- egy to guide federal investment and engagement in smart cities initiatives. Although the future of smart cities initiatives and the xii Preface policy impact of the original PCAST report remains uncertain, the report itself was revealing. Only a small number of the more than 100 contributors to the report represented the perspective or expertise of the social sciences that are dedicated to cities and the urban scale: urban policy, urban planning, urban geography, urban history, urban economics, or urban administration. The growing interest in smart cities and the expansion of smart cities programs and projects has thus presented some interesting questions for the academic community: where does one learn about smart cities? Who teaches about smart cities? What discipline or degree programs prepare students to design, implement, and evaluate smart cities? Increasingly, the smart cities project is challenging the established social science disci- plines to rethink their own boundaries and knowledge claims. The question then becomes, who will define what is required to be a participant in or an analyst of the smart cities project? Who will define the processes and practices that govern the future profession of urban innovation? Ultimately, the smart cities project is rarely seen for what it is: a technology diffusion challenge operating in a dynamic and contested space between the public and the private sector. Technology development is the easy part; the real challenge is that the design and deployment of these models into this lim- inal space where governance, regulation, access, participation, and representation are unclear and the “operating standards” are yet to be fully articulated. In this book, I tackle that challenge by providing a framework for analyzing the smart cities project that is grounded in the anal- ysis of economic development and embedded in economic geog- raphy’s established discourse on uneven development. The result is a way of thinking about urban innovation that recenters the analysis on scale, markets, and regulation. The book produces this

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