Authors:
Demonstrates how big data empowered by cloud computing provides new possibilities for researchers tackling the grand challenges of sustainable urban development and transportation
Teaches readers how to launch new big data applications in urban sustainability, using successes in retail, telecoms, and banking to develop template patterns and design approaches
Provides the first framework for realizing the opportunities suggested by big data applied to urban sustainability, based on less expensive and heterogeneous infrastructures than those currently available
Transcends the theoretical by including a detailed case study derived from a real-world research project- the ISUNS transportation system in development in China
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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School of Design, Royal College of Art, Kensington Gore, London, United Kingdom
Stephen Jia Wang
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Department of Design, Monash University-Caulfield Campus, Caulfield East, Australia
Patrick Moriarty
About the authors
Bibliographic Information
Book Title: Big Data for Urban Sustainability
Book Subtitle: A Human-Centered Perspective
Authors: Stephen Jia Wang, Patrick Moriarty
DOI: https://doi.org/10.1007/978-3-319-73610-5
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-73608-2Published: 05 April 2018
Softcover ISBN: 978-3-030-08819-4Published: 26 January 2019
eBook ISBN: 978-3-319-73610-5Published: 22 March 2018
Edition Number: 1
Number of Pages: XVI, 160
Number of Illustrations: 5 b/w illustrations, 9 illustrations in colour
Topics: Renewable and Green Energy, Sustainable Development, Software Engineering, Transportation Technology and Traffic Engineering