An analysis of tripadvisor reviews of 127 urban rail transit networks worldwide
Issued Date
2022-01-01
Resource Type
ISSN
2214367X
Scopus ID
2-s2.0-85117942592
Journal Title
Travel Behaviour and Society
Volume
26
Start Page
193
End Page
205
Rights Holder(s)
SCOPUS
Bibliographic Citation
Travel Behaviour and Society Vol.26 (2022) , 193-205
Suggested Citation
Taecharungroj V. An analysis of tripadvisor reviews of 127 urban rail transit networks worldwide. Travel Behaviour and Society Vol.26 (2022) , 193-205. 205. doi:10.1016/j.tbs.2021.10.007 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/87602
Title
An analysis of tripadvisor reviews of 127 urban rail transit networks worldwide
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
Urban rail transit networks (URTNs) are essential for sustainability, equity and liveability of cities worldwide. Recent studies have explored ways in which URTNs can improve traveller experiences; however, the lack of a comprehensive method to benchmark URTNs worldwide and the lack of travellers’ voices and attitudes in conceptualisation call for a new technique to identify and assess URT traveller experience. This research aimed to uncover the experiential dimensions of URT travellers from TripAdvisor reviews and to compare URTNs worldwide. The research scope included 185,485 reviews on TripAdvisor collected from 127 URTNs in 123 cities. Data were analysed using an unsupervised machine learning technique, latent Dirichlet allocation (LDA). The analysis found eleven experiential dimensions: card, ticketing, direction, communication, architecture, network, performance, safety, crowd, connectivity and traffic. Subsequent salience-valence analyses identified factors that drive positive and negative experiences. This study presents a rapid and insightful method to assess traveller experiences. URTNs worldwide can use this technique to analyse and improve their services.