Smart City Analytics: state of the art and future perspectives
In accordance with a 'people centred' vision, this paper critically examines current approaches to smart cities benchmarking. In particular, by means of correlation analysis and Principal Component Analysis (PCA) we put in evidence present limitations of city rankings and, as well, the em...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ASLERD
2014-05-01
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| Series: | Interaction Design and Architecture(s) |
| Subjects: | |
| Online Access: | http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/20_6.pdf |
| _version_ | 1797714137178963968 |
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| author | Carlo Giovannella Mihai Dascalu Federico Scaccia |
| author_facet | Carlo Giovannella Mihai Dascalu Federico Scaccia |
| author_sort | Carlo Giovannella |
| collection | DOAJ |
| description | In accordance with a 'people centred' vision, this paper critically examines current approaches to smart cities benchmarking. In particular, by means of correlation analysis and Principal Component Analysis (PCA) we put in evidence present limitations of city rankings and, as well, the emergence of different perspectives for data interpretations. To follow, a possible redesign of the 'Smart Cities Analytics' grounded on the traces left by individuals, is suggested. In particular, as an example, we focus on the potentiality offered by automatic text analysis to extract people perceptions and expectations that, in turns, demonstrate the need to integrate bottom-up and top-down approaches to city benchmarking. Finally a novel definition of smart city based on the territorial state of flow is proposed and, as a consequence, a novel path toward smart city benchmarking suggested. |
| first_indexed | 2024-03-12T07:47:28Z |
| format | Article |
| id | doaj.art-0f1df81817be4e1ab00e0abb31fb2616 |
| institution | Directory Open Access Journal |
| issn | 1826-9745 2283-2998 |
| language | English |
| last_indexed | 2024-03-12T07:47:28Z |
| publishDate | 2014-05-01 |
| publisher | ASLERD |
| record_format | Article |
| series | Interaction Design and Architecture(s) |
| spelling | doaj.art-0f1df81817be4e1ab00e0abb31fb26162023-09-02T20:52:28ZengASLERDInteraction Design and Architecture(s)1826-97452283-29982014-05-01207287Smart City Analytics: state of the art and future perspectivesCarlo Giovannella0Mihai Dascalu1Federico Scaccia2ISIM_Garagre, Dept. of Educational Science and Technologies University of Rome Tor Vergata, Rome, ItalyDepartment of Computer Science University “Politehnica” of Bucharest, Bucharest, RomaniaISIM_Garagre, Dept. of Educational Science and Technologies University of Rome Tor Vergata, Rome, ItalyIn accordance with a 'people centred' vision, this paper critically examines current approaches to smart cities benchmarking. In particular, by means of correlation analysis and Principal Component Analysis (PCA) we put in evidence present limitations of city rankings and, as well, the emergence of different perspectives for data interpretations. To follow, a possible redesign of the 'Smart Cities Analytics' grounded on the traces left by individuals, is suggested. In particular, as an example, we focus on the potentiality offered by automatic text analysis to extract people perceptions and expectations that, in turns, demonstrate the need to integrate bottom-up and top-down approaches to city benchmarking. Finally a novel definition of smart city based on the territorial state of flow is proposed and, as a consequence, a novel path toward smart city benchmarking suggested.http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/20_6.pdfsmart city benchmarkingcity smartnesssmart city analyticsPCAnatural language processingtext analysisconcept mapsflow |
| spellingShingle | Carlo Giovannella Mihai Dascalu Federico Scaccia Smart City Analytics: state of the art and future perspectives Interaction Design and Architecture(s) smart city benchmarking city smartness smart city analytics PCA natural language processing text analysis concept maps flow |
| title | Smart City Analytics: state of the art and future perspectives |
| title_full | Smart City Analytics: state of the art and future perspectives |
| title_fullStr | Smart City Analytics: state of the art and future perspectives |
| title_full_unstemmed | Smart City Analytics: state of the art and future perspectives |
| title_short | Smart City Analytics: state of the art and future perspectives |
| title_sort | smart city analytics state of the art and future perspectives |
| topic | smart city benchmarking city smartness smart city analytics PCA natural language processing text analysis concept maps flow |
| url | http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/20_6.pdf |
| work_keys_str_mv | AT carlogiovannella smartcityanalyticsstateoftheartandfutureperspectives AT mihaidascalu smartcityanalyticsstateoftheartandfutureperspectives AT federicoscaccia smartcityanalyticsstateoftheartandfutureperspectives |