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Big Data Solutions for Urban Environments a Systematic Review

Authors:
Francisco Ribeiro
Felipe Ferraz
Maria Torres
Gustavo Alexandre

Keywords: Big Data; Smart City, Systematic Review, Ubiquity

Abstract:
Big data is a vast field of research and one that has not been completely explored. Studies involving big data, especially for solving problems in urban environments, still require more evidence. This work has the objective of identifying, evaluating, and interpreting published research that examine usages of the great amount of data generated by cities and its systems, in order to use Big Data technologies to improve city conditions. To achieve that, a systematic review of current literature was conducted. This review resulted in the finding of 1291 works of which 40 were identified as primary studies. The studies were then classified according to research focus and aspect of the city they focused on. The review investigates what it is known about the benefits and limitations in the use of big data in urban environments. The results show statistical data about big data, gaps in current research and models of successful implementation.

Pages: 22 to 28

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-445-9

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2016