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Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets

INTRODUCTION: Finland's natural physical environment and climate support a wide variety of informal outdoor sports, thereby motivating the population to do physical exercise in scenic environments. The vast majority of Finns enjoys outdoor recreational activities, and could thus be encouraged t...

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Detalles Bibliográficos
Autores principales: van der Lijn, Charlotte, Ehnström, Emil, Koivisto, Sonja, Muukkonen, Petteri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196161/
https://www.ncbi.nlm.nih.gov/pubmed/37214600
http://dx.doi.org/10.3389/fsoc.2023.1125343
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author van der Lijn, Charlotte
Ehnström, Emil
Koivisto, Sonja
Muukkonen, Petteri
author_facet van der Lijn, Charlotte
Ehnström, Emil
Koivisto, Sonja
Muukkonen, Petteri
author_sort van der Lijn, Charlotte
collection PubMed
description INTRODUCTION: Finland's natural physical environment and climate support a wide variety of informal outdoor sports, thereby motivating the population to do physical exercise in scenic environments. The vast majority of Finns enjoys outdoor recreational activities, and could thus be encouraged to post accounts of their year-round activities on social media. Our aim was to find out in what kind of areas and spaces, spatially, users are tweeting about sporting activities. METHODS: We use geotagged Twitter tweets filtering for 16 sporting activity keywords in both English and Finnish. The case study was conducted in the Helsinki Metropolitan Area, Finland, with an emphasis on cross-country skiing as a sports activity when there is snow. In a secondary analysis we concentrated on the sports people were practicing in these locations when there was no snow. The location spaces are split in to three land cover types: green, blue, and street spaces. RESULTS: We found that approximately half of the 150 skiing-related tweets were geotagged in green spaces, and half in street spaces. This finding related to street space was attributable to a spatial scale error: when we checked the results manually we noticed that they referenced the sporting location in the green space. Hence, then over 90% of the 745 non-ski-related tweets were geotagged in a street space. DISCUSSION: We conclude that Twitter is a beneficial tool for detecting spaces used for informal physical activity. A shortcoming in current Finnish national sporting policies is that spaces for informal physical activity are not explicitly mentioned- we use the term informal with reference both to the space and to the sporting activity, whereby public spaces are used for physical activity. This new knowledge of sporting locations will help city planners and sports planners to improve informal sports facilities, which in turn will promote healthy exercise in cities.
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spelling pubmed-101961612023-05-20 Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets van der Lijn, Charlotte Ehnström, Emil Koivisto, Sonja Muukkonen, Petteri Front Sociol Sociology INTRODUCTION: Finland's natural physical environment and climate support a wide variety of informal outdoor sports, thereby motivating the population to do physical exercise in scenic environments. The vast majority of Finns enjoys outdoor recreational activities, and could thus be encouraged to post accounts of their year-round activities on social media. Our aim was to find out in what kind of areas and spaces, spatially, users are tweeting about sporting activities. METHODS: We use geotagged Twitter tweets filtering for 16 sporting activity keywords in both English and Finnish. The case study was conducted in the Helsinki Metropolitan Area, Finland, with an emphasis on cross-country skiing as a sports activity when there is snow. In a secondary analysis we concentrated on the sports people were practicing in these locations when there was no snow. The location spaces are split in to three land cover types: green, blue, and street spaces. RESULTS: We found that approximately half of the 150 skiing-related tweets were geotagged in green spaces, and half in street spaces. This finding related to street space was attributable to a spatial scale error: when we checked the results manually we noticed that they referenced the sporting location in the green space. Hence, then over 90% of the 745 non-ski-related tweets were geotagged in a street space. DISCUSSION: We conclude that Twitter is a beneficial tool for detecting spaces used for informal physical activity. A shortcoming in current Finnish national sporting policies is that spaces for informal physical activity are not explicitly mentioned- we use the term informal with reference both to the space and to the sporting activity, whereby public spaces are used for physical activity. This new knowledge of sporting locations will help city planners and sports planners to improve informal sports facilities, which in turn will promote healthy exercise in cities. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196161/ /pubmed/37214600 http://dx.doi.org/10.3389/fsoc.2023.1125343 Text en Copyright © 2023 van der Lijn, Ehnström, Koivisto and Muukkonen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Sociology
van der Lijn, Charlotte
Ehnström, Emil
Koivisto, Sonja
Muukkonen, Petteri
Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets
title Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets
title_full Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets
title_fullStr Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets
title_full_unstemmed Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets
title_short Detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related Twitter tweets
title_sort detecting informal green, blue, and street physical activity spaces in the city using geotagged sports-related twitter tweets
topic Sociology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196161/
https://www.ncbi.nlm.nih.gov/pubmed/37214600
http://dx.doi.org/10.3389/fsoc.2023.1125343
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