Big data for urban sustainability : a human-centered perspective /

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Bibliographic Details
Author / Creator:Wang, Stephen Jia, 1976- author.
Imprint:Cham : Springer, [2018]
©2018
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11544108
Hidden Bibliographic Details
Other authors / contributors:Moriarty, Patrick (J. Patrick), author.
ISBN:9783319736105
3319736108
9783319736099
3319736094
9783030088194
3030088197
9783319736082
3319736086
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (EBSCO, viewed March 27, 2018).
Summary:This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment. The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware. Cloud services, mobile and embedded platforms, interfaces, operating system design methods, networking, and middleware are all considered. The authors then explore in detail the framework, design principles, architecture and key components of developing energy systems to support sustainable urban environments. The included case study provides a pathway to improve the eco-efficiency of urban transport, demonstrating how to design an energy efficient next generation urban navigation system by leveraging vast cloud data sets on user-behavior. Ultimately, this resource maps big data's pivotal intersection with rapid global urbanization along the path to a sustainable future.
Other form:Printed edition: 9783319736082
Standard no.:10.1007/978-3-319-73610-5