From a drone’s eye view: indicators of overtourism in a sea, sun, and sand destination

Szuster, Brian W.; Needham, Mark D.; Lesar, Laura; Chen, Qi

doi:10.1080/09669582.2020.1866586

Cited by 13 publications

(9 citation statements)

References 44 publications

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“…Also, the most affected parties are represented in research by the inhabitants, through the power they have in the media due to the scandals and protests they demonstrate. The opinions of tourists, which in fact can represent the image of the tourist experience, are not always considered, even if their degree of satisfaction does influence the fate of the destination; there are exceptions, such as the research which data obtained from an onsite survey of 452 visitors and with an unmanned aerial vehicle (to collect actual use levels at the site) in another crowded destination, Kailua Beach Park in Hawai,i (Szuster, et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Terms like overtourism (Goodwin, 2021), (Szuster, et al, 2021), (Jover & Díaz-Parra, 2020), (Khomsi, et al, 2020), (Kim & Kang, 2020), (Mihalic, 2020), (Cheer, et al, 2019), (Cheung & Li, 2019), (Eckert, et al, 2019), (Jacobsen, et al, 2019), (Milano, et al, 2019a), (Dodds & Butler, 2019), (Kay Smith, et al, 2019), (Perkumienė & Pranskūnienė, 2019), (Koens, et al, 2018), (Peeters, et al, 2018), (Goodwin, 2017), surtourisme (France, 2019), anti-tourist sentiment (Kim & Kang, 2020), (Nunkoo, et al, 2020), (Hughes, 2018), (Papathanassis, 2017), tourismphobia (Matteucci, et al, 2021), (Milano, et al, 2019b), touristification (Pettas, et al, 2021), (Butler, 1980), degrowing tourism (Fletcher, et al, 2019), (Higgins-Desbiolles, et al, 2019 appeared in everyday use due to research, but the phenomenon in its full extent was not understood in time due to the lack of multidimensional interpretations.…”

Section: Introductionmentioning

confidence: 99%

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Studying tourist congestion as a form of overtourism through Tripadvisor reviews: Case study: Charles Bridge, Prague

Drăgan¹,

Camară²

2022

Zb Depart geogr, turizam i hotel

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Overtourism is a current phenomenon which also includes crowds of people in a tourist destination. This research analyzes overtourism to a much visited tourist objective through Tripadvisor reviews, by highlighting the key concepts which are suggesting the existence of the overtourism phenomenon. The method consisted to examine the reviews posted on Tripadvisor by the tourists who visited one of the most important tourist attractions in Prague, namely Charles Bridge. The tool used for this purpose was Leximancer program. Using an analysis from multiple perspectives (during the 2019 low and peak tourist season, and during the Covid-19 pandemic), the results of the concept maps captured the intensity of the phenomenon of overtourism in all three contexts. Thus, specific themes and concepts generated by the program suggest that Carles Bridge suffers from overtourism regardless of the tourist season.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Studying tourist congestion as a form of overtourism through Tripadvisor reviews: Case study: Charles Bridge, Prague

Drăgan¹,

Camară²

2022

Zb Depart geogr, turizam i hotel

View full text Add to dashboard Cite

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“…Researchers can systematically categorize and evaluate public sentiments expressed in digital content by employing sentiment analysis, thereby gaining insights into prevailing attitudes and perceptions towards over-tourism issues [34]. This proactive approach facilitates the identification of relevant sentiment indicators [35]. It lays the groundwork for subsequent data processing and modeling stages, enabling a comprehensive exploration of public sentiment dynamics surrounding over-tourism.…”

Section: Figure 2 Most Frequently Used Words and Top Ten Postersmentioning

confidence: 99%

Sentiment Classification of Over-Tourism Issues in Responsible Tourism Content using Naïve Bayes Classifier

Afrianto Singgalen

2024

JoSYC

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The research problem addressed in this study is the analysis of public sentiment regarding over-tourism issues. Utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology and the Naive Bayes Classifier (NBC) algorithm, the study navigates through stages of business understanding, data processing, modeling, evaluation, and deployment. The central focus lies in understanding and classifying public sentiments surrounding the challenges associated with over-tourism. The findings reveal that the NBC algorithm, particularly when augmented with Synthetic Minority Over-sampling Technique (SMOTE), demonstrates superior performance metrics, showcasing an accuracy of 84.82%, precision of 91.69%, recall of 76.75%, f-measure of 83.47%, and AUC of 0.838. The comparison with NBC without SMOTE, which registers an accuracy of 78.16%, precision of 87.61%, recall of 74.56%, f-measure of 80.51%, and AUC of 0.745, underscores the significance of addressing class imbalance for improved predictive performance. Integrating CRISP-DM with the NBC algorithm and SMOTE proves instrumental in advancing sentiment analysis methodologies, providing nuanced insights into public perceptions and attitudes concerning the critical issue of over-tourism.

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“…Technically, overcrowding exists when tourism flows are larger than the capacity of the place [1]. This maximum capacity is not always easy to establish because the perception of (over)crowdedness can appear before the technical maximum capacity is reached, as has been shown for beaches [2], mountains [3], and cities [4,5].…”

Section: Introductionmentioning

confidence: 99%

The INPReS Intervention Escalation Framework for Avoiding Overcrowding in Tourism Destinations

Schmücker

Reif

Horster

et al. 2023

Tourism and Hospitality

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Visitor management is one way to avoid or mitigate the negative effects of overcrowding in tourism destinations. Visitor management depends upon a set of interventions aimed at guiding visitors and recommending alternatives. Here, we present a conceptual framework of such interventions using an escalation from information, nudging, pricing, and reservation to stoppage (INPReS). The interventions are discussed against the backdrop of the changing role of destination management organisations (DMOs) in smart destinations, the challenges to DMO stewardship in avoiding overcrowding, and the design considerations between nudging and persuasion.

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From a drone’s eye view: indicators of overtourism in a sea, sun, and sand destination

Cited by 13 publications

References 44 publications

Studying tourist congestion as a form of overtourism through Tripadvisor reviews: Case study: Charles Bridge, Prague

Studying tourist congestion as a form of overtourism through Tripadvisor reviews: Case study: Charles Bridge, Prague

Sentiment Classification of Over-Tourism Issues in Responsible Tourism Content using Naïve Bayes Classifier

The INPReS Intervention Escalation Framework for Avoiding Overcrowding in Tourism Destinations

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