Big Data for Urban Sustainability: A Human-Centered Perspective By Wang, Stephe
Unlock the potential of big data, cloud, and complex systems for sustainable urban environments. This book provides a practical framework for applying these technologies to address urban environmental challenges, focusing on energy efficiency and the urban ecosystem. Explore key aspects of big data, cloud services, pervasive computing, and mobile technologies from a design perspective, including open-source firmware. Learn about cloud services, mobile and embedded platforms, interfaces, operating system design, networking, and middleware. The authors detail the framework, design principles, architecture, and components for developing energy systems that support sustainable cities. A case study demonstrates how to improve urban transport eco-efficiency with an energy-efficient next-generation urban navigation system, leveraging cloud data. This essential resource maps the intersection of big data and rapid urbanization, guiding the path towards a sustainable future. Summary: Big Data for Urban Sustainability, a first edition hardcover book written in English by Stephen Jia Wang and Patrick Moriarty. Published by Springer Cham, ISBN 9783319736082.
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Details:Big Data for Urban Sustainability: A Human-Centered Perspective By Wang, Stephe
Unlock the potential of big data, cloud, and complex systems for sustainable urban environments. This book provides a practical framework for applying these technologies to address urban environmental challenges, focusing on energy efficiency and the urban ecosystem. Explore key aspects of big data, cloud services, pervasive computing, and mobile technologies from a design perspective, including open-source firmware. Learn about cloud services, mobile and embedded platforms, interfaces, operating system design, networking, and middleware. The authors detail the framework, design principles, architecture, and components for developing energy systems that support sustainable cities. A case study demonstrates how to improve urban transport eco-efficiency with an energy-efficient next-generation urban navigation system, leveraging cloud data. This essential resource maps the intersection of big data and rapid urbanization, guiding the path towards a sustainable future. Summary: Big Data for Urban Sustainability, a first edition hardcover book written in English by Stephen Jia Wang and Patrick Moriarty. Published by Springer Cham, ISBN 9783319736082.
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Product Description
Unlock the potential of big data, cloud, and complex systems for sustainable urban environments. This book provides a practical framework for applying these technologies to address urban environmental challenges, focusing on energy efficiency and the urban ecosystem. Explore key aspects of big data, cloud services, pervasive computing, and mobile technologies from a design perspective, including open-source firmware. Learn about cloud services, mobile and embedded platforms, interfaces, operating system design, networking, and middleware. The authors detail the framework, design principles, architecture, and components for developing energy systems that support sustainable cities. A case study demonstrates how to improve urban transport eco-efficiency with an energy-efficient next-generation urban navigation system, leveraging cloud data. This essential resource maps the intersection of big data and rapid urbanization, guiding the path towards a sustainable future. Summary: Big Data for Urban Sustainability, a first edition hardcover book written in English by Stephen Jia Wang and Patrick Moriarty. Published by Springer Cham, ISBN 9783319736082.
Product Specifications
General | |
|---|---|
format | hardcover |
Language | english |
type | book |
Brand | Springer International Publishing AG |
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