Abstract

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.

Details

Title
Measuring sustainable tourism with online platform data
Author
Hoffmann, Felix J. 1 ; Braesemann, Fabian 2   VIAFID ORCID Logo  ; Teubner, Timm 1   VIAFID ORCID Logo 

1  Technische Universität Berlin, Trust in Digital Services, Berlin, Germany (GRID:grid.6734.6) (ISNI:0000 0001 2292 8254) 
2  University of Oxford, Oxford Internet Institute, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); Datenwissenschaftliche Gesellschaft Berlin, Berlin, Germany (GRID:grid.4991.5) 
Pages
41
Publication year
2022
Publication date
2022
Publisher
Springer Nature B.V.
e-ISSN
21931127
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1140/epjds/s13688-022-00354-6
ProQuest document ID
2691264803
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.