Big Data for Urban Sustainability

Big Data for Urban Sustainability

EnglishHardbackPrint on demand
Wang, Stephen Jia
Springer, Berlin
EAN: 9783319736082
Print on demand
Delivery on Friday, 28. of August 2026
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Detailed information

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.

EAN 9783319736082
ISBN 3319736086
Binding Hardback
Publisher Springer, Berlin
Publication date April 5, 2018
Pages 160
Language English
Dimensions 235 x 155
Country Switzerland
Readership General
Authors Moriarty Patrick; Wang, Stephen Jia
Illustrations 9 Illustrations, color; 5 Illustrations, black and white
Edition 2018 ed.
Manufacturer information
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