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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023009258 |
| _version_ | 1811161711130968064 |
|---|---|
| author | Pilar Muñoz-Dueñas Miguel Martínez-Comesaña Javier Martínez-Torres Guillermo Bastos-Costas |
| author_facet | Pilar Muñoz-Dueñas Miguel Martínez-Comesaña Javier Martínez-Torres Guillermo Bastos-Costas |
| author_sort | Pilar Muñoz-Dueñas |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T06:19:50Z |
| format | Article |
| id | doaj.art-b68546fbb55e4acb83c667109e16bbac |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-10T06:19:50Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-b68546fbb55e4acb83c667109e16bbac2023-03-02T05:02:36ZengElsevierHeliyon2405-84402023-02-0192e13718Estimating mobility of tourists. New Twitter-based procedurePilar Muñoz-Dueñas0Miguel Martínez-Comesaña1Javier Martínez-Torres2Guillermo Bastos-Costas3Department of Financial Economics and Accounting, Faculty of Economics and Business Sciences, University of Vigo (Universidade de Vigo), 36310 Vigo, SpainCINTECX – Research Center in Technologies, Energy, and Industrial Processes, Universidade de Vigo, Rúa Maxwell s/n, 36310 Vigo, SpainDepartment of Applied Mathematics I, Telecommunications Engineering School, CINTECX, University of Vigo (Universidade de Vigo), 36310 Vigo, Spain; Department of Applied Mathematics I, Telecommunications Engineering School, CITMAga, 15782 Santiago de Compostela, Spain; Corresponding author.University of Santiago de Compostela, Higher Polytechnic School, CIGEO – Civil and Geomatics Research Group, Lugo, 27002, SpainTwitter 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.http://www.sciencedirect.com/science/article/pii/S2405844023009258TourismTwitterGeotaggedRouteOriginEstimating |
| spellingShingle | Pilar Muñoz-Dueñas Miguel Martínez-Comesaña Javier Martínez-Torres Guillermo Bastos-Costas Estimating mobility of tourists. New Twitter-based procedure Heliyon Tourism Geotagged Route Origin Estimating |
| 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 | Tourism Geotagged Route Origin Estimating |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023009258 |
| work_keys_str_mv | AT pilarmunozduenas estimatingmobilityoftouristsnewtwitterbasedprocedure AT miguelmartinezcomesana estimatingmobilityoftouristsnewtwitterbasedprocedure AT javiermartineztorres estimatingmobilityoftouristsnewtwitterbasedprocedure AT guillermobastoscostas estimatingmobilityoftouristsnewtwitterbasedprocedure |