Innovative Tools for Tourism and Cultural Tourism Impact Assessment

Kalvet, Tarmo; Olesk, Maarja; Tiits, Marek; Raun, Janika

doi:10.3390/su12187470

Cited by 52 publications

(49 citation statements)

References 82 publications

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“…The RSSI value is processed by using the Kalman filter to filter out the abrupt data in the measurement value and eliminate the noise interference in the system itself and in the measurement process. After processing, the system error is reduced and the fluctuation of the RSSI data value is reduced [14], which lays a good foundation for the next numerical optimization processing.…”

Section: Principle Of Algorithmicmentioning

confidence: 99%

Wireless Sensor Networks Assist Intelligent Tourism Traffic Navigation and Tourist Positioning

Sun

2021

Journal of Sensors

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With the booming development of tourism, more and more tourists visit scenic spots; followed by dense personnel in scenic spots, tourists’ comfort is not high. This paper introduces the structure diagram, function structure diagram, and database design of an intelligent tourism navigation system based on a wireless sensor network in detail and explains each function module of an intelligent tourism system based on a wireless sensor network in detail. Through the wireless sensor network to obtain the positioning data of tourists in tourist attractions, this article realizes the intelligent traffic navigation in the intelligent tourism navigation system and finally realizes the diversion of tourists. An intelligent travel navigation system based on the wireless sensor network is implemented on Android. Finally, the intelligent travel navigation system based on the wireless sensor network is tested. The results show that the system can meet the real-time demand, the system positioning accuracy is high, and the system can effectively realize the flow analysis and public security warning.

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Section: Principle Of Algorithmicmentioning

confidence: 99%

Wireless Sensor Networks Assist Intelligent Tourism Traffic Navigation and Tourist Positioning

Sun

2021

Journal of Sensors

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“…Next to social media, mobile positioning data (MPD) increasingly tends to complement conventional data sources in tourism studies and destination management, as these data are becoming crucial to how a destination utilizes its resources [9,29]. Passive mobile-cell information is generated each time a mobile phone communicates with a network (i.e., by calling, sending messages, or using cell data).…”

Section: The Use Of Social Media and Mobile Positioning Data In Tourism Research: A Literature Reviewmentioning

confidence: 99%

“…Using mobile positioning data, Nilbe et al [45] were able to detect differences in distances travelled by foreign visitors to events and regular (non-event) visitors in Estonia, while Raun et al [40] identified tourist destinations based on visitor flows. There has been a lot of technological advancement in the field [46][47][48][49][50][51], and there are already countries in the world (Estonia and Indonesia) where MPD is used to produce national tourism statistics [9].…”

Section: The Use Of Social Media and Mobile Positioning Data In Tourism Research: A Literature Reviewmentioning

confidence: 99%

“…Using this knowledge, they are able to make better and more sustainable decisions [1,7]. In the case of tourism, the use of information and communication technologies (ICT) on both the consumer and the management sides can contribute to a more sustainable development by increasing efficiency and optimizing tourist's decisions [8,9]. By processing and analyzing real-time data, and developing and implementing appropriate answers, the tourism products of a destination can be flexibly adapted to the needs and desire of consumers [10].…”

Section: Introductionmentioning

confidence: 99%

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Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary

Kovács

Vida

Elekes³

et al. 2021

Sustainability

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Despite the growing importance of mobile tracking technology in urban planning and traffic forecasting, its utilization in the understanding of the basic laws governing tourist flows remains limited. Knowledge regarding the motivations and spatial behavior of tourists has great potential in sustainable tourism studies. In this paper, we combine social media (Twitter) and mobile positioning data (MPD) in the analysis of international tourism flows in Szeged, a secondary urban center in Hungary. First, the content of geotagged and non-geotagged Twitter messages referring to Szeged in a six-month period of 2018 was analyzed. In this way specific events attracting foreign tourists were identified. Then, using MPD data of foreign SIM cards, visitor peaks in the investigated period were defined. With the joint application of the social media and mobile positioning analytical tools, we were able to identify those attractions (festivals, sport and cultural events, etc.) that generated significant tourism arrivals in the city. Furthermore, using the mixed-method approach we were also able to analyze the movements of foreign visitors during one large-scale tourism event and evaluate its hinterland. Overall, this study supports the idea that social media data should be combined with other real-time data sources, such as MPD, in order to gain a more precise understanding of the behavior of tourists. The proposed analytical tool can contribute to methodological and conceptual development in the field, and information gained by its application can positively influence not only tourism management and planning but also tourism marketing and placemaking.

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“…For tourist destinations and tourists, the development of educational tourism can increase the communication and interaction between tourists and residents in different places [9,13,14], so that tourists can promote different races and cultures [5]. This means that the development of educational tourism can promote interpersonal interaction.…”

Section: Social Functionmentioning

confidence: 99%

The Nature of Educational Tourism: The Aspects of Means-end Chain Approach

Yen

Zhang

2021

AJESS

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This study aimed at investigating the nature of educational tourism by the adoption of means-end chain approach. Data was collected by interviewing three college students who finished the survey at Panxi area in 2020. Means-end chain approach, then, was employed to analyze the data. Findings show that a total of six meaningful paths: professional competence - research work - the integrated value of knowing and doing, destination health tourism resources -research work - the integration of knowing and doing, professional competence - interpersonal communication -research motivation - the integration of knowing and doing, destination travel Impressions - research work – discovery, travel habits -research work – discovery, and interpersonal communication - research work - leisure and social value could be met to be the approached to the nature of educational tourism. For example, college students hope to bring together their knowledge and behavior by participating in educational tourism. By verifying their professional ability (attributes), completing the research work (results), and reflecting the study of tourism to use, and the integration of knowing and doing. Moreover, recommendations to the government, industry, and future research were drawn.

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Innovative Tools for Tourism and Cultural Tourism Impact Assessment

Cited by 52 publications

References 82 publications

Wireless Sensor Networks Assist Intelligent Tourism Traffic Navigation and Tourist Positioning

Wireless Sensor Networks Assist Intelligent Tourism Traffic Navigation and Tourist Positioning

Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary

The Nature of Educational Tourism: The Aspects of Means-end Chain Approach

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