Leiras, AnaEusébio, Celeste2025-06-052025-06-052023-07-07Leiras, A., & Eusébio, C. (2023). Perceived image of accessible tourism destinations: a data mining analysis of Google Maps reviews. Current Issues in Tourism, 27(16), 2584–2602. https://doi.org/10.1080/13683500.2023.22303381368-35001747-7603http://hdl.handle.net/2183/42176“This is an accepted manuscript of an article published by Taylor & Francis in Current Issues in Tourism on 07 Jul 2023, available at: https://doi.org/10.1080/13683500.2023.2230338.”[Abstract]: While research into tourism and accessibility has significantly advanced over the past decade, the perceived image of Accessible TourismDestinations (ATDs) has remained largely unexplored. This study addresses this gap by examining the perceived image of Aveiro (Portugal) and A Coruña (Spain) as exemplars of ATDs. In this investigation, we scrutinized 1,051 Online Travellers Reviews (OTRs) posted between 2016 to 2023 in Google Maps. We employed content analysis and text mining techniques using the RapidMiner software. The findings reveal a correlation between accessibility conditions and visitors’ satisfaction. Common concerns among travellers include the availability of parking spaces and adaptations for people with disabilities (PwD). Areas identified for improvement encompass information provision and signage. Further investigation is recommended to understand the factors influencing the increase in positive sentiments in Aveiro during the COVID-19 pandemic. This research presents a strategic framework for Destination Management Organisations (DMOs) to enhance the quality of the tourism offer while showcasing the potential of data mining within this field.engAtribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/3.0/es/DisabilitySustainable tourismInclusive tourismTourism managementSentiment analysisBig datajournal articleopen access10.1080/13683500.2023.223033