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Titlebook: Big Data for Urban Sustainability; A Human-Centered Per Stephen Jia Wang,Patrick Moriarty Book 2018 Springer International Publishing AG, p

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發(fā)表于 2025-3-21 16:57:24 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data for Urban Sustainability
期刊簡稱A Human-Centered Per
影響因子2023Stephen Jia Wang,Patrick Moriarty
視頻videohttp://file.papertrans.cn/186/185692/185692.mp4
發(fā)行地址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
圖書封面Titlebook: Big Data for Urban Sustainability; A Human-Centered Per Stephen Jia Wang,Patrick Moriarty Book 2018 Springer International Publishing AG, p
影響因子.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..
Pindex Book 2018
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Big Data for Sustainable Urban Transport, to understanding the potential for big data in each of these approaches. How can big data be used to reduce transport energy and emissions in cities? Specifically, how can big data encourage modal shift from cars to more environmentally friendly modes, and reduce vehicular transport overall through
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,Big Data for a?Future World,before it can make a real difference. We try to place big data and urban sustainability problems in the year 2050 or even later, by first describing what the world of 2050 might look like, assuming that nations seriously tackle the global environmental and resource problems the planet increasingly f
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Mechanisms of Signal Transduction,s use of both big and small data. The barriers for some applications, particularly those based on personal data, will for some time be greater in the cities of many industrialising countries than in OECD cities.
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