What can we learn from Airbnb data on tourist flows? A case study on Iceland
Tourist flows are increasingly important – at least up to the covid-19 crisis - and the Arctic regions are no exception. In particular, Iceland is experiencing an unprecedented tourism boom that began a decade ago. This goes hand in hand with the development of online short-term rental platforms suc...
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Université des Sciences et Technologies de Lille
2021
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ftdoajarticles:oai:doaj.org/article:554621a817234f25b212b4b43d39e412 2023-05-15T14:57:16+02:00 What can we learn from Airbnb data on tourist flows? A case study on Iceland Alexandre Cebeillac Yvette Vaguet 2021-01-01T00:00:00Z https://doi.org/10.4000/eps.10452 https://doaj.org/article/554621a817234f25b212b4b43d39e412 EN FR eng fre Université des Sciences et Technologies de Lille http://journals.openedition.org/eps/10452 https://doaj.org/toc/0755-7809 https://doaj.org/toc/2104-3752 0755-7809 2104-3752 doi:10.4000/eps.10452 https://doaj.org/article/554621a817234f25b212b4b43d39e412 Espace populations sociétés, Vol 2020 (2021) Iceland tourism touristic flows Airbnb Geography. Anthropology. Recreation G Social sciences (General) H1-99 article 2021 ftdoajarticles https://doi.org/10.4000/eps.10452 2022-12-31T06:05:05Z Tourist flows are increasingly important – at least up to the covid-19 crisis - and the Arctic regions are no exception. In particular, Iceland is experiencing an unprecedented tourism boom that began a decade ago. This goes hand in hand with the development of online short-term rental platforms such as Airbnb. This article questions how public information on the Airbnb website can be used to study tourist flows, with Iceland as a case study. Using a program we developed, we collected information about the accommodation available on the platform, as well as any comments left by visitors.Each member’s profile also includes the place of residence declared by the user, which makes it possible to know the country of origin. We then compared this collected information with official statistical data. Airbnb, which is growing steadily, seems to be gaining ground on the classic hotel business. The Airbnb data reflects the officially recorded flows by country of origin. This makes the case for using this data for the Arctic region, for which statistical data is hard to find at a fine-scale. Article in Journal/Newspaper Arctic Iceland Directory of Open Access Journals: DOAJ Articles Arctic Espace populations sociétés 2020/3-2021/1 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English French |
topic |
Iceland tourism touristic flows Airbnb Geography. Anthropology. Recreation G Social sciences (General) H1-99 |
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Iceland tourism touristic flows Airbnb Geography. Anthropology. Recreation G Social sciences (General) H1-99 Alexandre Cebeillac Yvette Vaguet What can we learn from Airbnb data on tourist flows? A case study on Iceland |
topic_facet |
Iceland tourism touristic flows Airbnb Geography. Anthropology. Recreation G Social sciences (General) H1-99 |
description |
Tourist flows are increasingly important – at least up to the covid-19 crisis - and the Arctic regions are no exception. In particular, Iceland is experiencing an unprecedented tourism boom that began a decade ago. This goes hand in hand with the development of online short-term rental platforms such as Airbnb. This article questions how public information on the Airbnb website can be used to study tourist flows, with Iceland as a case study. Using a program we developed, we collected information about the accommodation available on the platform, as well as any comments left by visitors.Each member’s profile also includes the place of residence declared by the user, which makes it possible to know the country of origin. We then compared this collected information with official statistical data. Airbnb, which is growing steadily, seems to be gaining ground on the classic hotel business. The Airbnb data reflects the officially recorded flows by country of origin. This makes the case for using this data for the Arctic region, for which statistical data is hard to find at a fine-scale. |
format |
Article in Journal/Newspaper |
author |
Alexandre Cebeillac Yvette Vaguet |
author_facet |
Alexandre Cebeillac Yvette Vaguet |
author_sort |
Alexandre Cebeillac |
title |
What can we learn from Airbnb data on tourist flows? A case study on Iceland |
title_short |
What can we learn from Airbnb data on tourist flows? A case study on Iceland |
title_full |
What can we learn from Airbnb data on tourist flows? A case study on Iceland |
title_fullStr |
What can we learn from Airbnb data on tourist flows? A case study on Iceland |
title_full_unstemmed |
What can we learn from Airbnb data on tourist flows? A case study on Iceland |
title_sort |
what can we learn from airbnb data on tourist flows? a case study on iceland |
publisher |
Université des Sciences et Technologies de Lille |
publishDate |
2021 |
url |
https://doi.org/10.4000/eps.10452 https://doaj.org/article/554621a817234f25b212b4b43d39e412 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Iceland |
genre_facet |
Arctic Iceland |
op_source |
Espace populations sociétés, Vol 2020 (2021) |
op_relation |
http://journals.openedition.org/eps/10452 https://doaj.org/toc/0755-7809 https://doaj.org/toc/2104-3752 0755-7809 2104-3752 doi:10.4000/eps.10452 https://doaj.org/article/554621a817234f25b212b4b43d39e412 |
op_doi |
https://doi.org/10.4000/eps.10452 |
container_title |
Espace populations sociétés |
container_issue |
2020/3-2021/1 |
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1766329353083289600 |