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How to measure the performance of a smart city

2020Conference paper Restricted access
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dc.contributor.authorGuarda, Teresa
dc.contributor.authorLopes, Isabel Maria
dc.contributor.authorOliveira, Pedro
dc.contributor.authorRibeiro, Maria
dc.contributor.authorFernandes, António
dc.date.accessioned2020-11-16T16:51:11Z
dc.date.available2020-11-16T16:51:11Z
dc.date.issued2020
dc.description.abstractThe main objective of the smart cities initiative is to allow manage their assets efficiently, betting on innovation and creativity, as a way to promote sustainable and inclusive urban development. When talking about an emerging and promising area like smart cities, the topic of performance measurement has gained more relevance. The performance of smart cities involves measuring the progress of a territory, with regard to its ability to provide a better quality of life for its citizens. It is necessary to understand the territorial specificities, and to know how far technologies can be useful in these territories for a sustainable transition. It is in this context that the present study is based, which aims to assess which technologies the citizens of the urban territory in the province of Santa Elena in Ecuador, understand as striking, in order to measure the intelligent performance of that city. For that, a survey was made, and the results and conclusions presented in this study.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGuarda, Teresa; Lopes, Isabel Maria; Oliveira, P. ;Ribeiro, Maria; Fernandes, António (2020). How to measure the performance of a smart city. In 1st International Workshop on Applied Artificial Intelligence. Ota; Nigeria.pt_PT
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/10198/22874
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCEUR Workshop Proceedingspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSmart citiespt_PT
dc.subjectSustainabilitypt_PT
dc.subjectTerritorial intelligencept_PT
dc.titleHow to measure the performance of a smart citypt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceNigeriapt_PT
oaire.citation.endPage86pt_PT
oaire.citation.startPage77pt_PT
oaire.citation.title1st International Workshop on Applied Artificial Intelligencept_PT
oaire.citation.volume2714pt_PT
person.familyNameLopes
person.familyNameOliveira
person.familyNameRibeiro
person.familyNameFernandes
person.givenNameIsabel Maria
person.givenNamePedro
person.givenNameMaria Isabel
person.givenNameAntónio
person.identifier2474707
person.identifier.ciencia-id8812-AE1C-A316
person.identifier.ciencia-id8D1B-9409-7921
person.identifier.ciencia-id831E-7E0E-DFC1
person.identifier.orcid0000-0002-5614-3516
person.identifier.orcid0000-0001-8346-1694
person.identifier.orcid0000-0002-5425-006X
person.identifier.orcid0000-0002-9971-4796
person.identifier.ridA-1728-2014
person.identifier.scopus-author-id55211017300
person.identifier.scopus-author-id58492545800
person.identifier.scopus-author-id55815966700
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationb2d880bb-278b-489c-aa8f-353cfd99f0fa
relation.isAuthorOfPublicationcff96812-d440-40dc-b44f-998d48894fd0
relation.isAuthorOfPublication57537474-8c6d-4d45-99cc-5510c93e59cc
relation.isAuthorOfPublication.latestForDiscovery57537474-8c6d-4d45-99cc-5510c93e59cc

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