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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Measuring sustainable tourism with online platform data
Felix J Hoffmann1, Fabian Braesemann2,3, Timm Teubner1
1Trust in Digital Services, Technische Universität Berlin, 10623 Berlin, Germany.
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.
Supplementary Information:
The online version contains supplementary material available at 10.1140/epjds/s13688-022-00354-6.
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