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Using social media data to understand the impact of the COVID-19 pandemic on urban green space use

Having access to and visiting urban green space (UGS) improves liveability and provides considerable benefits to residents. However, traditional methods of investigating UGS visitation, such as questionnaires and social surveys, are usually time- and resource-intensive, and frequently provide less t...

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Autores principales: Cui, Nan, Malleson, Nick, Houlden, Victoria, Comber, Alexis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier GmbH. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283088/
https://www.ncbi.nlm.nih.gov/pubmed/35855473
http://dx.doi.org/10.1016/j.ufug.2022.127677
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author Cui, Nan
Malleson, Nick
Houlden, Victoria
Comber, Alexis
author_facet Cui, Nan
Malleson, Nick
Houlden, Victoria
Comber, Alexis
author_sort Cui, Nan
collection PubMed
description Having access to and visiting urban green space (UGS) improves liveability and provides considerable benefits to residents. However, traditional methods of investigating UGS visitation, such as questionnaires and social surveys, are usually time- and resource-intensive, and frequently provide less transferable, site-specific outcomes. This study uses social media data (Twitter) to examine spatio-temporal changes in UGS use in London associated with COVID-19 related lockdowns. It compares georeferenced Tweets posted in a 3 month period from 23 March to 23 June for 3 years covering the first lockdown in the UK in 2020, with Tweets for the same period in 2019 and 2021. The results show that (1) the land-use type of Public Park and Garden was the most frequently visited type of UGS, which may be correlated with these UGS areas remaining opening during the lockdown period; (2) the usage of UGS decreased in central London and increased in other areas during lockdown, which may correlated with working from home restrictions; (3) activities were positively associated with Physical activities maybe as a result of allowing people to take a single daily exercise, and (4) people spent more time in UGS areas on weekdays than weekends compared to pre-lockdown. This is the first study to examine social media data over consistent time period before, during and after the lockdown in relation to UGS. The results show that the findings and method can inform policy makers in their management and planning of UGS, especially in a period of social crisis like the COVID-19 pandemic.
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spelling pubmed-92830882022-07-15 Using social media data to understand the impact of the COVID-19 pandemic on urban green space use Cui, Nan Malleson, Nick Houlden, Victoria Comber, Alexis Urban For Urban Green Article Having access to and visiting urban green space (UGS) improves liveability and provides considerable benefits to residents. However, traditional methods of investigating UGS visitation, such as questionnaires and social surveys, are usually time- and resource-intensive, and frequently provide less transferable, site-specific outcomes. This study uses social media data (Twitter) to examine spatio-temporal changes in UGS use in London associated with COVID-19 related lockdowns. It compares georeferenced Tweets posted in a 3 month period from 23 March to 23 June for 3 years covering the first lockdown in the UK in 2020, with Tweets for the same period in 2019 and 2021. The results show that (1) the land-use type of Public Park and Garden was the most frequently visited type of UGS, which may be correlated with these UGS areas remaining opening during the lockdown period; (2) the usage of UGS decreased in central London and increased in other areas during lockdown, which may correlated with working from home restrictions; (3) activities were positively associated with Physical activities maybe as a result of allowing people to take a single daily exercise, and (4) people spent more time in UGS areas on weekdays than weekends compared to pre-lockdown. This is the first study to examine social media data over consistent time period before, during and after the lockdown in relation to UGS. The results show that the findings and method can inform policy makers in their management and planning of UGS, especially in a period of social crisis like the COVID-19 pandemic. The Author(s). Published by Elsevier GmbH. 2022-08 2022-07-15 /pmc/articles/PMC9283088/ /pubmed/35855473 http://dx.doi.org/10.1016/j.ufug.2022.127677 Text en © 2022 The Authors 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
Cui, Nan
Malleson, Nick
Houlden, Victoria
Comber, Alexis
Using social media data to understand the impact of the COVID-19 pandemic on urban green space use
title Using social media data to understand the impact of the COVID-19 pandemic on urban green space use
title_full Using social media data to understand the impact of the COVID-19 pandemic on urban green space use
title_fullStr Using social media data to understand the impact of the COVID-19 pandemic on urban green space use
title_full_unstemmed Using social media data to understand the impact of the COVID-19 pandemic on urban green space use
title_short Using social media data to understand the impact of the COVID-19 pandemic on urban green space use
title_sort using social media data to understand the impact of the covid-19 pandemic on urban green space use
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283088/
https://www.ncbi.nlm.nih.gov/pubmed/35855473
http://dx.doi.org/10.1016/j.ufug.2022.127677
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