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Estimating mobility of tourists. New Twitter-based procedure

Twitter has been actively researched as a human mobility proxy. Tweets can contain two classes of geographical metadata: the location from which a tweet was published, and the place where the tweet is estimated to have been published. Nevertheless, Twitter also presents tweets without any geographic...

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Detalles Bibliográficos
Autores principales: Muñoz-Dueñas, Pilar, Martínez-Comesaña, Miguel, Martínez-Torres, Javier, Bastos-Costas, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971121/
https://www.ncbi.nlm.nih.gov/pubmed/36865461
http://dx.doi.org/10.1016/j.heliyon.2023.e13718
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author Muñoz-Dueñas, Pilar
Martínez-Comesaña, Miguel
Martínez-Torres, Javier
Bastos-Costas, Guillermo
author_facet Muñoz-Dueñas, Pilar
Martínez-Comesaña, Miguel
Martínez-Torres, Javier
Bastos-Costas, Guillermo
author_sort Muñoz-Dueñas, Pilar
collection PubMed
description Twitter has been actively researched as a human mobility proxy. Tweets can contain two classes of geographical metadata: the location from which a tweet was published, and the place where the tweet is estimated to have been published. Nevertheless, Twitter also presents tweets without any geographical metadata when querying for tweets on a specific location. This study presents a methodology which includes an algorithm for estimating the geographical coordinates to tweets for which Twitter doesn't assign any. Our objective is to determine the origin and the route that a tourist followed, even if Twitter doesn't return geographically identified data. This is carried out through geographical searches of tweets inside a defined area. Once a tweet is found inside an area, but its metadata contains no explicit geographical coordinates, its coordinates are estimated by iteratively performing geographical searches, with a decreasing geographical searching radius. This algorithm was tested in two touristic villages of Madrid (Spain) and a major city in Canada. A set of tweets without geographical coordinates in these areas were found and processed. The coordinates of a subset of them were successfully estimated.
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spelling pubmed-99711212023-03-01 Estimating mobility of tourists. New Twitter-based procedure Muñoz-Dueñas, Pilar Martínez-Comesaña, Miguel Martínez-Torres, Javier Bastos-Costas, Guillermo Heliyon Research Article Twitter has been actively researched as a human mobility proxy. Tweets can contain two classes of geographical metadata: the location from which a tweet was published, and the place where the tweet is estimated to have been published. Nevertheless, Twitter also presents tweets without any geographical metadata when querying for tweets on a specific location. This study presents a methodology which includes an algorithm for estimating the geographical coordinates to tweets for which Twitter doesn't assign any. Our objective is to determine the origin and the route that a tourist followed, even if Twitter doesn't return geographically identified data. This is carried out through geographical searches of tweets inside a defined area. Once a tweet is found inside an area, but its metadata contains no explicit geographical coordinates, its coordinates are estimated by iteratively performing geographical searches, with a decreasing geographical searching radius. This algorithm was tested in two touristic villages of Madrid (Spain) and a major city in Canada. A set of tweets without geographical coordinates in these areas were found and processed. The coordinates of a subset of them were successfully estimated. Elsevier 2023-02-13 /pmc/articles/PMC9971121/ /pubmed/36865461 http://dx.doi.org/10.1016/j.heliyon.2023.e13718 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Muñoz-Dueñas, Pilar
Martínez-Comesaña, Miguel
Martínez-Torres, Javier
Bastos-Costas, Guillermo
Estimating mobility of tourists. New Twitter-based procedure
title Estimating mobility of tourists. New Twitter-based procedure
title_full Estimating mobility of tourists. New Twitter-based procedure
title_fullStr Estimating mobility of tourists. New Twitter-based procedure
title_full_unstemmed Estimating mobility of tourists. New Twitter-based procedure
title_short Estimating mobility of tourists. New Twitter-based procedure
title_sort estimating mobility of tourists. new twitter-based procedure
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971121/
https://www.ncbi.nlm.nih.gov/pubmed/36865461
http://dx.doi.org/10.1016/j.heliyon.2023.e13718
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