Measuring sustainable tourism with online platform data

Hoffmann, Felix; Braesemann, Fabian; Teubner, Timm

doi:10.1140/epjds/s13688-022-00354-6

Cited by 12 publications

(10 citation statements)

References 38 publications

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“…The Global Sustainable Tourism Council (GSTC) formulated the sustainability criteria of the same name. They are the basis for "accreditation of certification bodies that certify hotels, other accommodations, tour operators, transport service providers and destinations" [31] that wish to declare that they have a sustainable policy and use sustainable practices in their operations. The GSTC criteria are divided into 2 groups.…”

Section: Integration Of Certification Systems In Tourist Companiesmentioning

confidence: 99%

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Sustainable development of destination Bulgaria through alternative forms of tourism

Bozhinova

Georgieva

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The idea of sustainable development of tourism is among the most significant trends in this sector globally. In Bulgaria, it is included in the National Strategy for Sustainable Development of Tourism in the Republic of Bulgaria. In the current economic, health and social situation, interest in the sustainable development of destination Bulgaria has strengthened. The current situation creates conditions to update and improve the product portfolio of destination Bulgaria, focusing efforts on using the possibilities of alternative forms of tourism, which find their interpretation in the tourist regionalization of the country and the formation of tourist routes with specialized destinations. The research aims to confirm the possibility of sustainable development of destination Bulgaria through the use of products related to alternative forms of tourism. The study object is the tourism destination Bulgaria’s sustainable development. For the needs of the research, standard scientific methods are used. The stated research tasks support the thesis that the use of specialized forms of tourism in the formation of the product portfolio of destination Bulgaria can contribute to its sustainable development. As a result, the need to use the potential of destination management organizations and the importance of sustainability certification systems is confirmed.

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Section: Integration Of Certification Systems In Tourist Companiesmentioning

confidence: 99%

“…The second one aims to accredit hotels and tour operators which are interested in becoming sustainable enterprises. Acting as global benchmark for sustainability in travel and tourism sector, the criteria can be divided into 4 categories [31]:…”

Section: Integration Of Certification Systems In Tourist Companiesmentioning

confidence: 99%

Sustainable development of destination Bulgaria through alternative forms of tourism

Bozhinova

Georgieva

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…This question is becoming important given the positive impacts that influencing positive tourist behavior has on economic sustainability (e.g., positive evaluations, word-of-mouth (WOM) intentions, and behavioral intentions) [16,17]. Furthermore, understanding the economic, environmental, and social impacts of tourism requires a detailed examination of a wide range of data [18].…”

Section: Introductionmentioning

confidence: 99%

“…Scholars have argued that online reviews could be used as an alternative data source for evaluating sustainable tourism [18]. In the era of big data, tourists leave downloadable qualitative data on the internet through online reviews, photos, and other forms of interaction.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Importance of Destination Attributes of Sustainable Urban Waterfronts: Text and Data Mining of Tourists’ Online Reviews

Wang,

Lin

2024

Sustainability

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This study identifies the destination attributes of sustainable urban waterfronts that are frequently mentioned in tourists’ online reviews. We analyzed the influence of these attributes on tourists’ ratings based on stimuli–organism–response theory, and the associations between these destination attributes. The online reviews (both text reviews and star ratings) from TripAdvisor and Google Maps of the sustainable waterfront destinations of the Liuchuan and Luchuan rivers in Taichung city (Taiwan) were collected and analyzed through text and data mining. Destination attributes were grouped into two types: sustainable landscapes (aesthetics, water resource rehabilitation, sustainable lighting, emotional experiences, and low-impact development waterfronts) and sustainable recreational spaces (leisure activities, festivals, inclusive destinations, photography, and tourist experiences). Two destination attributes common to-- both types were identified: nightscapes and waterfronts. These attributes predicted tourists’ ratings through support vector machine analysis. Sensitivity analysis revealed that sustainable landscape-type attributes had a greater impact on tourists’ ratings than the sustainable recreational space type. In addition, three important association rules between twelve attributes were identified and these helped provide information pattern combination attributes from tourists’ comments with support and confidence for the destination attributes. These findings will contribute to urban planning and design in relation to sustainable waterfront destinations. They highlight the need for planners to consider both tourists’ landscapes and recreational needs in order to achieve economic and ecological sustainability.

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“…The tourism data analysis system is mainly used to analyze the data presented in the database. Tourism data produce important values and points which provide feasible data for architecture and design processes [7]. Tourism data provides the exact data relevant to tourism that reduces latency in the development process.…”

Section: Introductionmentioning

confidence: 99%

Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

Chen

2023

Journal of Applied Mathematics

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A country’s economic development relies on different features such as export/import, industrial processes, and tourism. Rural tourism is a discussion-centric research field for analyzing its contribution to a country’s economic growth. This field generates voluptuous data for tourists, expenditure, location, etc. analysis; the information increases over the years and the density of visiting tourists. Therefore, this article introduces an optimized reinforcement data analysis approach (ORDAA) for generating precise guidance information. This information is two-faced, namely, summarized data for tourist guidance and summarized data for the country’s economic development. Data augmentation’s steep rise and downfall are analyzed using reinforcement learning, wherein decision agents are precise for a relevant summary. The relevance is identified using associated development targets over varying years. Besides, the guidance information that identifies low tourist summary or nonachievable development targets is separately identified. The identified targets are analyzed using reinforcement agents for economic growth improvements compared to the previous tourist densities. This improves the focus on rural tourism sights and economic contributions to an optimal level.

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Measuring sustainable tourism with online platform data

Cited by 12 publications

References 38 publications

Sustainable development of destination Bulgaria through alternative forms of tourism

Sustainable development of destination Bulgaria through alternative forms of tourism

Exploring the Importance of Destination Attributes of Sustainable Urban Waterfronts: Text and Data Mining of Tourists’ Online Reviews

Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

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