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Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach
The COVID-19 outbreak has extremely impacted the globe due to travel restrictions and lockdowns. Geographically, COVID-19 has shown disproportional impacts; however, the research themes' distribution is yet to be explored. Thus, this study explored the geographical distribution of the research...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825958/ https://www.ncbi.nlm.nih.gov/pubmed/33520611 http://dx.doi.org/10.1016/j.scs.2021.102729 |
_version_ | 1783640428995674112 |
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author | Kutela, Boniphace Novat, Norris Langa, Neema |
author_facet | Kutela, Boniphace Novat, Norris Langa, Neema |
author_sort | Kutela, Boniphace |
collection | PubMed |
description | The COVID-19 outbreak has extremely impacted the globe due to travel restrictions and lockdowns. Geographically, COVID-19 has shown disproportional impacts; however, the research themes' distribution is yet to be explored. Thus, this study explored the geographical distribution of the research themes that relate to COVID-19 and the transportation sector. The study applied a text network approach on the bibliometric data of over 400 articles published between December 2019 and December 2020. It was found that the researches and the associated themes were geographically distributed based on the events that took place in the respective countries. Most of the articles were published by the authors from four countries, the USA, China, Japan, and the UK. The text network results revealed that the USA-based studies mainly focused on international travelers, monitoring, travel impacts of COVID-19, and social-distancing measures. The Japanese-based studies focused on the princess diamond cruise ship incident. On the other hand, Chinese authors published articles related to travel to Wuhan and China, passenger health, and public transportation. The UK-based studies had diverse topics of interest. Lastly, the remaining 62 countries' studies focused on returning travelers from China, public transportation, and the global spread of COVID-19. The findings are crucial to the transportation sector’s researchers for various applications. |
format | Online Article Text |
id | pubmed-7825958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78259582021-01-25 Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach Kutela, Boniphace Novat, Norris Langa, Neema Sustain Cities Soc Article The COVID-19 outbreak has extremely impacted the globe due to travel restrictions and lockdowns. Geographically, COVID-19 has shown disproportional impacts; however, the research themes' distribution is yet to be explored. Thus, this study explored the geographical distribution of the research themes that relate to COVID-19 and the transportation sector. The study applied a text network approach on the bibliometric data of over 400 articles published between December 2019 and December 2020. It was found that the researches and the associated themes were geographically distributed based on the events that took place in the respective countries. Most of the articles were published by the authors from four countries, the USA, China, Japan, and the UK. The text network results revealed that the USA-based studies mainly focused on international travelers, monitoring, travel impacts of COVID-19, and social-distancing measures. The Japanese-based studies focused on the princess diamond cruise ship incident. On the other hand, Chinese authors published articles related to travel to Wuhan and China, passenger health, and public transportation. The UK-based studies had diverse topics of interest. Lastly, the remaining 62 countries' studies focused on returning travelers from China, public transportation, and the global spread of COVID-19. The findings are crucial to the transportation sector’s researchers for various applications. Elsevier Ltd. 2021-04 2021-01-23 /pmc/articles/PMC7825958/ /pubmed/33520611 http://dx.doi.org/10.1016/j.scs.2021.102729 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kutela, Boniphace Novat, Norris Langa, Neema Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach |
title | Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach |
title_full | Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach |
title_fullStr | Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach |
title_full_unstemmed | Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach |
title_short | Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach |
title_sort | exploring geographical distribution of transportation research themes related to covid-19 using text network approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825958/ https://www.ncbi.nlm.nih.gov/pubmed/33520611 http://dx.doi.org/10.1016/j.scs.2021.102729 |
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