Seeing Cities Through Big Data Research, Methods and Applications in
This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved plan
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Piyushimita (Vonu) Thakuriah Nebiyou Tilahun Moira Zellner Editors
Seeing Cities Through Big Data Research, Methods and Applications in Urban Informatics
Springer Geography
The Springer Geography series seeks to publish a broad portfolio of scientific books, aiming at researchers, students, and everyone interested in geographical research. The series includes peer-reviewed monographs, edited volumes, textbooks, and conference proceedings. It covers the entire research area of geography including, but not limited to, Economic Geography, Physical Geography, Quantitative Geography, and Regional/Urban Planning.
More information about this series at http://www.springer.com/series/10180
Piyushimita (Vonu) Thakuriah • Nebiyou Tilahun Moira Zellner Editors
Seeing Cities Through Big Data Research, Methods and Applications in Urban Informatics
Editors Piyushimita (Vonu) Thakuriah Urban Studies and Urban Big Data Centre University of Glasgow Glasgow, UK
Nebiyou Tilahun Department of Urban Planning and Policy University of Illinois at Chicago Chicago, IL, USA
Moira Zellner Department of Urban Planning and Policy University of Illinois at Chicago Chicago, IL, USA
ISSN 2194-315X ISSN 2194-3168 (electronic) Springer Geography ISBN 978-3-319-40900-9 ISBN 978-3-319-40902-3 (eBook) DOI 10.1007/978-3-319-40902-3 Library of Congress Control Number: 2016953041 © Springer International Publishing Switzerland 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Big Data is spawning new areas of research, new methods and tools, and new insights into Urban Informatics. This edited volume presents several papers highlighting the opportunities and challenges of using Big Data for understanding urban patterns and dynamics. The volume is intended for researchers
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