Big Data for Urban Sustainability
A Human-Centered Perspective
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Beschreibung
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.
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.
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
Autor*in
Stephen Jia Wang
Themen in »Big Data for Urban Sustainability«
Big data energy applications Energy efficiency Energy modeling Sustainable big data Sustainable cities Sustainable development Sustainable urbanism Sustinable transportation Urban development Urban transport pervasive computing