Since the beginning of the pandemic (at the end of 2019), papers have been published in journals firstly around the topic of medical area (such as clinical futures and complications, non-pharmaceutical interventions, treatment, virology, etc.), then around other topics (financial, economic, managerial and tourist). Covid-19 has generated impacts that have propagated from themedical field to the depths of human and relational behavior, modifying thought and action even in consumption. Many territories have reacted with specific policies of social limitations, others have devoted attention to technology to monitor the pandemic. This paper focuses on deepening the relationship between the Covid-19 and the Smart cities in the context of tourism. A bibliometric analysis and word concepts (word co-occurrences matrix) has been used to answer the research questions. A VOSviewer software has been used to process 4818 journal papers extracted from WoS (Web of Science) database between November 2019 and March 2022.

COVID-19 and Smart City in the Context of Tourism: A Bibliometric Analysis Using VOSviewer Software

Perano M.
;
Pellicano M.;
2023-01-01

Abstract

Since the beginning of the pandemic (at the end of 2019), papers have been published in journals firstly around the topic of medical area (such as clinical futures and complications, non-pharmaceutical interventions, treatment, virology, etc.), then around other topics (financial, economic, managerial and tourist). Covid-19 has generated impacts that have propagated from themedical field to the depths of human and relational behavior, modifying thought and action even in consumption. Many territories have reacted with specific policies of social limitations, others have devoted attention to technology to monitor the pandemic. This paper focuses on deepening the relationship between the Covid-19 and the Smart cities in the context of tourism. A bibliometric analysis and word concepts (word co-occurrences matrix) has been used to answer the research questions. A VOSviewer software has been used to process 4818 journal papers extracted from WoS (Web of Science) database between November 2019 and March 2022.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4825911
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