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Smart and Regenerative Urban Growth: A Literature Network Analysis

Author

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  • Angeliki Peponi

    (Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Praha—Suchdol, Czech Republic
    Institute of Geography and Spatial Planning, Centre of Geographical Studies, Universidade de Lisboa, Rua Branca Edmée Marques, 1600-276 Lisboa, Portugal)

  • Paulo Morgado

    (Institute of Geography and Spatial Planning, Centre of Geographical Studies, Universidade de Lisboa, Rua Branca Edmée Marques, 1600-276 Lisboa, Portugal)

Abstract

“Smart city”, “sustainable city”, “ubiquitous city”, “smart sustainable city”, “eco-city”, “regenerative city” are fuzzy concepts; they are established to mitigate the negative impact on urban growth while achieving economic, social, and environmental sustainability. This study presents the result of the literature network analysis exploring the state of the art in the concepts of smart and regenerative urban growth under urban metabolism framework. Heat-maps of impact citations, cutting-edge research on the topic, tip-top ideas, concepts, and theories are highlighted and revealed through VOSviewer bibliometrics based on a selection of 1686 documents acquired from Web of Science, for a timespan between 2010 and 2019. This study discloses that urban growth is a complex phenomenon that covers social, economic, and environmental aspects, and the overlaps between them, leading to a diverse range of concepts on urban development. In regards to our concepts of interest, smart, and regenerative urban growth, we see that there is an absence of conceptual contiguity since both concepts have been approached on an individual basis. This fact unveils the need to adopt a more holistic and interdisciplinary approach to urban planning and design, integrating these concepts to improve the quality of life and public health in urban areas.

Suggested Citation

  • Angeliki Peponi & Paulo Morgado, 2020. "Smart and Regenerative Urban Growth: A Literature Network Analysis," IJERPH, MDPI, vol. 17(7), pages 1-28, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2463-:d:341315
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    References listed on IDEAS

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    1. van Eck, N.J.P. & Waltman, L., 2007. "Bibliometric Mapping of the Computational Intelligence Field," ERIM Report Series Research in Management ERS-2007-027-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    3. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
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    Cited by:

    1. Cayetano Medina-Molina & María de la Sierra Rey-Tienda & Eva María Suárez-Redondo, 2022. "The Transition of Cities towards Innovations in Mobility: Searching for a Global Perspective," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    2. Yunxing Zhang & Meiyu Yang & Ziyang Li & Weizhen Li & Chenchen Lu & Zhigang Li & Haidong Li & Feifei Zhai, 2023. "Study on the Spatial Distribution Characteristics and Influencing Factors in the Reuse of National Industrial Heritage Sites in China," Sustainability, MDPI, vol. 15(24), pages 1-24, December.

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