Measuring sustainable tourism with online platform data.
Imbalanced classification
Nowcasting
Platform data
Supervised learning
Sustainable tourism
TripAdvisor
Journal
EPJ data science
ISSN: 2193-1127
Titre abrégé: EPJ Data Sci
Pays: Germany
ID NLM: 101686785
Informations de publication
Date de publication:
2022
2022
Historique:
received:
07
11
2021
accepted:
11
06
2022
entrez:
25
7
2022
pubmed:
26
7
2022
medline:
26
7
2022
Statut:
ppublish
Résumé
Sustainability in tourism is a topic of global relevance, finding multiple mentions in the United Nations Sustainable Development Goals. The complex task of balancing tourism's economic, environmental, and social effects requires detailed and up-to-date data. This paper investigates whether online platform data can be employed as an alternative data source in sustainable tourism statistics. Using a web-scraped dataset from a large online tourism platform, a sustainability label for accommodations can be predicted reasonably well with machine learning techniques. The algorithmic prediction of accommodations' sustainability using online data can provide a cost-effective and accurate measure that allows to track developments of tourism sustainability across the globe with high spatial and temporal granularity. The online version contains supplementary material available at 10.1140/epjds/s13688-022-00354-6.
Identifiants
pubmed: 35873664
doi: 10.1140/epjds/s13688-022-00354-6
pii: 354
pmc: PMC9289659
doi:
Types de publication
Journal Article
Langues
eng
Pagination
41Informations de copyright
© The Author(s) 2022.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare that they have no competing interests.
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