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dc.contributor.authorBeneicke, Julia
dc.contributor.authorJuan, Angel Alejandro
dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorLópez López, David
dc.contributor.authorFreixes, Alfons
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2020-01-20T09:26:56Z
dc.date.available2020-01-20T09:26:56Z
dc.date.issued2020-01
dc.identifier.citationBeneicke, J. [et al.]. Empowering citizens' cognition and decision making in smart sustainable cities. "IEEE Consumer Electronics Magazine", Gener 2020, vol. 9, núm. 1, p. 102-108.
dc.identifier.issn2162-2248
dc.identifier.urihttp://hdl.handle.net/2117/175272
dc.description© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractAdvances in Internet technologies have made it possible to gather, store, and process large quantities of data, often in real time. When considering smart and sustainable cities, this big data generates useful information and insights to citizens, service providers, and policy makers. Transforming this data into knowledge allows for empowering citizens' cognition as well as supporting decision-making routines. However, several operational and computing issues need to be taken into account: 1) efficient data description and visualization, 2) forecasting citizens behavior, and 3) supporting decision making with intelligent algorithms. This paper identifies several challenges associated with the use of data analytics in smart sustainable cities and proposes the use of hybrid simulation-optimization and machine learning algorithms as an effective approach to empower citizens' cognition and decision making in such ecosystems
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Internet
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subject.lcshCities and towns -- Technological innovations
dc.subject.lcshDecision-making
dc.subject.lcshBig data
dc.subject.otherCognition
dc.subject.otherSmart cities
dc.subject.otherDecision making
dc.subject.otherLogistics
dc.subject.otherOptimization
dc.subject.otherReal-time systems
dc.titleEmpowering citizens' cognition and decision making in smart sustainable cities
dc.typeArticle
dc.subject.lemacCiutats -- Innovacions tecnològiques
dc.subject.lemacDecisió, Presa de
dc.subject.lemacDades massives
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.identifier.doi10.1109/MCE.2019.2941457
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8922852
dc.rights.accessOpen Access
local.identifier.drac26281568
dc.description.versionPostprint (author's final draft)
local.citation.authorBeneicke, J.; Juan, A.A.; Xhafa, F.; Lopez, D.; Freixes, A.
local.citation.publicationNameIEEE Consumer Electronics Magazine
local.citation.volume9
local.citation.number1
local.citation.startingPage102
local.citation.endingPage108


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