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1000 Titel
  • Smart city and sustainability indicators: a bibliometric literature review
1000 Autor/in
  1. Da Silva Tomadon, Leonardo |
  2. do Couto, Edivando Vitor |
  3. de Vries, Walter Timo |
  4. Moretto, Yara |
1000 Verlag
  • Springer International Publishing
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-07-08
1000 Erschienen in
1000 Quellenangabe
  • 5(1):143
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s43621-024-00328-w |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>This study delves into the pivotal role that indicators play in designing, assessing, and guiding policies for sustainable urban development. Indicators, encompassing both quantitative and qualitative measures, serve as essential tools in evaluating efforts toward sustainable development, providing a practical and objective means of understanding the complex urban environment. The lack of a robust database is identified as a hindrance to monitoring sustainable development progress, underscoring the importance of comprehensive indicators. The study employs a bibliometric literature review methodology, focusing on smart city and sustainability indicators (SSCI) from 2015 to 2022. A total of 818 articles were narrowed down to 191 through rigorous criteria. The study showcases a growing interest in this field, with the number of articles published experiencing a remarkable 288% increase from 2015 to 2022. China emerges as a focal point, leading in both article production and citations, emphasizing its commitment to sustainable development and smart city initiatives. The keywords 'sustainable development', 'sustainability' and “urban development” had the most occurrences in text analysis. We found three different clusters with k-means analysis, and the circular economy indicators were the most representative category. In conclusion, the study underscores the holistic vision of SSCI in the current scenario, balancing technology and sustainability to improve urban quality of life while safeguarding the planet. Encouraging further research into integrating resilience-focused indicators and innovative solutions is crucial for enhancing sustainable urban development and informing policy decisions.</jats:p>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal COVID-19 pandemic
lokal Sistematic literature review
lokal Review
lokal Resilience
lokal Circular economy
lokal Sustainable urban development
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-0332-7896|https://orcid.org/0000-0003-4264-8449|https://orcid.org/0000-0002-1942-4714|https://orcid.org/0000-0002-1201-8502
1000 Hinweis
  • DeepGreen-ID: 47fb38594ef44d26b90daa8eb6bd9470 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Fundação Araucária |
  2. Technische Universität München |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Fundação Araucária |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Technische Universität München |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6500840.rdf
1000 Erstellt am 2025-02-05T11:58:43.898+0100
1000 Erstellt von 322
1000 beschreibt frl:6500840
1000 Zuletzt bearbeitet 2025-07-30T14:39:38.239+0200
1000 Objekt bearb. Wed Jul 30 14:39:38 CEST 2025
1000 Vgl. frl:6500840
1000 Oai Id
  1. oai:frl.publisso.de:frl:6500840 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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