國立虎尾科技大學 |

Big data for urban sustainability = a human-centered perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big data for urban sustainability/ by Stephen Jia Wang, Patrick Moriarty.
其他題名:	a human-centered perspective /
作者:	Wang, Stephen Jia.
其他作者:	Moriarty, Patrick.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xvi, 160 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Sustainable urban development - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-73610-5
ISBN:	9783319736105

Big data for urban sustainability = a human-centered perspective /
Wang, Stephen Jia.

Big data for urban sustainabilitya human-centered perspective /[electronic resource] :by Stephen Jia Wang, Patrick Moriarty. - Cham :Springer International Publishing :2018. - xvi, 160 p. :ill., digital ;24 cm.

Part I Features of Big data Systems -- Big Data Introduction -- Big data Systems landscape/ overview -- Part II Developing Sustainable Big data systems -- The trends of Big data systems -- Platform Architecture -- Reference Architecture -- ISUNS system design (Case Study) -- Part III Future Development to Enhance Eco-efficiency -- Potential Applications for Big data systems -- Performance Evaluation.

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.

ISBN: 9783319736105

Standard No.: 10.1007/978-3-319-73610-5doiSubjects--Topical Terms:

1202296
Sustainable urban development
--Data processing.

LC Class. No.: HT241 / .W35 2018

Dewey Class. No.: 307.1416

Big data for urban sustainability = a human-centered perspective /
LDR:02524nam a2200313 a 4500 001 924925
003 DE-He213
005 20180912091054.0
006 m d
007 cr nn 008maaau
008 190625s2018 gw s 0 eng d
020 $a 9783319736105 $q (electronic bk.)
020 $a 9783319736082 $q (paper)
024 7 $a 10.1007/978-3-319-73610-5 $2 doi
035 $a 978-3-319-73610-5
040 $a GP $c GP
041 0 $a eng
050 4 $a HT241 $b .W35 2018
072 7 $a THX $2 bicssc
072 7 $a TEC031010 $2 bisacsh
082 0 4 $a 307.1416 $2 23
090 $a HT241 $b .W246 2018
100 1 $a Wang, Stephen Jia. $3 1202295
245 1 0 $a Big data for urban sustainability $h [electronic resource] : $b a human-centered perspective / $c by Stephen Jia Wang, Patrick Moriarty.
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a xvi, 160 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I Features of Big data Systems -- Big Data Introduction -- Big data Systems landscape/ overview -- Part II Developing Sustainable Big data systems -- The trends of Big data systems -- Platform Architecture -- Reference Architecture -- ISUNS system design (Case Study) -- Part III Future Development to Enhance Eco-efficiency -- Potential Applications for Big data systems -- Performance Evaluation.
520 $a 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.
650 0 $a Sustainable urban development $x Data processing. $3 1202296
650 0 $a Urban ecology (Sociology) $3 665530
650 0 $a City planning $x Environmental aspects. $3 563839
650 0 $a Big data. $3 981821
650 0 $a Power resources $x Environmental aspects. $3 669569
650 0 $a Sustainable development. $3 556594
650 1 4 $a Energy. $3 784773
650 2 4 $a Renewable and Green Energy. $3 683875
650 2 4 $a Sustainable Development. $3 679787
650 2 4 $a Software Engineering. $3 669632
650 2 4 $a Transportation Technology and Traffic Engineering. $3 1069531
700 1 $a Moriarty, Patrick. $3 782342
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-73610-5
950 $a Energy (Springer-40367)