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000827119 019__ $$a1033640536
000827119 020__ $$a9783319736105$$q(electronic book)
000827119 020__ $$a3319736108$$q(electronic book)
000827119 020__ $$z9783319736082
000827119 0247_ $$a10.1007/978-3-319-73610-5$$2doi
000827119 035__ $$aSP(OCoLC)on1029545770
000827119 035__ $$aSP(OCoLC)1029545770$$z(OCoLC)1033640536
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000827119 049__ $$aISEA
000827119 050_4 $$aHT241
000827119 08204 $$a307.1416$$223
000827119 1001_ $$aWang, Stephen Jia,$$d1976-$$eauthor.
000827119 24510 $$aBig data for urban sustainability :$$ba human-centered perspective /$$cStephen Jia Wang, Patrick Moriarty.
000827119 264_1 $$aCham :$$bSpringer,$$c[2018]
000827119 264_4 $$c©2018
000827119 300__ $$a1 online resource.
000827119 336__ $$atext$$btxt$$2rdacontent
000827119 337__ $$acomputer$$bc$$2rdamedia
000827119 338__ $$aonline resource$$bcr$$2rdacarrier
000827119 347__ $$atext file$$bPDF$$2rda
000827119 504__ $$aIncludes bibliographical references and index.
000827119 506__ $$aAccess limited to authorized users.
000827119 520__ $$aThis book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment. The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware. Cloud services, mobile and embedded platforms, interfaces, operating system design methods, networking, and middleware are all considered. The authors then explore in detail the framework, design principles, architecture and key components of developing energy systems to support sustainable urban environments. The included case study provides a pathway to improve the eco-efficiency of urban transport, demonstrating how to design an energy efficient next generation urban navigation system by leveraging vast cloud data sets on user-behavior. Ultimately, this resource maps big data's pivotal intersection with rapid global urbanization along the path to a sustainable future.
000827119 588__ $$aOnline resource; title from PDF title page (viewed March 27, 2018).
000827119 650_0 $$aSustainable urban development$$xData processing.
000827119 650_0 $$aUrban ecology (Sociology)
000827119 650_0 $$aCity planning$$xEnvironmental aspects.
000827119 650_0 $$aBig data.
000827119 650_0 $$aPower resources$$xEnvironmental aspects.
000827119 650_0 $$aSustainable development.
000827119 7001_ $$aMoriarty, Patrick$$q(J. Patrick),$$eauthor.
000827119 77608 $$iPrint version: $$z9783319736082
000827119 852__ $$bebk
000827119 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-73610-5$$zOnline Access$$91397441.1
000827119 909CO $$ooai:library.usi.edu:827119$$pGLOBAL_SET
000827119 980__ $$aEBOOK
000827119 980__ $$aBIB
000827119 982__ $$aEbook
000827119 983__ $$aOnline
000827119 994__ $$a92$$bISE