A Model to Measure Tourist Preference toward Scenic Spots Based on Social Media Data: A Case of Dapeng in China

Sun, Yingyun; Ma, Haitao; Chan, Edwin H.W.

doi:10.3390/su10010043

Cited by 27 publications

(21 citation statements)

References 11 publications

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“…A lot of paper recommends tour places using social media data namely Sina company in China [14]. Firstly the users can view and read blogs written about spots by visitors.…”

Section: Literature Reviewmentioning

confidence: 99%

An Innovative Tour Recommendation System using Graph Algorithms

Hossain¹,

Tanim²,

Nawal³

et al. 2019

JISEBI

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Background: Tour recommendation and path planning are the most challenging jobs for tourists as they decide Points of Interest (POI).Objective: To reduce the physical effort of the tourists and recommend them a personalized tour is the main objective of this paper. Most of the time people had to find the places he wants to visit in a difficult way. It kills a lot of time.Methods: To cope with this situation we have used different methodology. First, a greedy algorithm is used for filtering the POIs and BFS (Breadth First Search) algorithm will find POI in terms of user interest. The maximum number of visited POI within a limited time will be considered. Then, the Dijkstra algorithm finds the shortest path from the point of departure to the end of tours.Results: This work shows its users list of places according to the user's interest in a particular city. It also suggests them places to visit in a range from the location of the user where a user can dynamically change this range and it also suggests nearby places they may want to visit.Conclusion: This tour recommendation system provides its users with a better trip planning and thus makes their holidays enjoyable.

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“…A lot of paper recommends tour places using social media data namely Sina company in China [14]. Firstly the users can view and read blogs written about spots by visitors.…”

Section: Literature Reviewmentioning

confidence: 99%

An Innovative Tour Recommendation System using Graph Algorithms

Hossain¹,

Tanim²,

Nawal³

et al. 2019

JISEBI

View full text Add to dashboard Cite

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“…The tourism industry has been dramatically changed by the development of technology, including social media and ICT [56,57]. The way young tourists search, use, purchase, consume and even influence the development of tourism services is dependent on ICT [58].…”

Section: The Use Of Information and Communication Technology (Ict) Asmentioning

confidence: 99%

The Use of Information and Communications Technology in Vocational Education and Training—Premise of Sustainability

Deaconu

Dedu²,

Igreț

et al. 2018

Sustainability

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Vocational education and training of human resources in tourism play an important role in the development of the tourism industry and hence in the national, regional and global economy. In this paper, we aimed to analyze the effective use of smart education in the teaching and learning process in tourism. The research was conducted over three academic years (2013-2014, 2014-2015, 2015-2016) in 12 high schools providing tourism specializations in Constanta County, Romania. The main method used was an experiment. Thus, we used information and communication technology (ICT) methods in the educational process (the independent variable) in order to compare students' results to those obtained in control classes, in which only traditional teaching methods were used. The results of our research confirmed our initial hypotheses, namely the fact that by using ICT methods within tourism classes, students understand and assimilate specialised knowledge faster and better, and they form and develop specific skills at a higher level than by using traditional teaching methods. This means that by using the latest technology in classes for teaching and learning disciplines in tourism, it is possible to develop, by the end of the superior cycle of high school, the future qualified human resources required for sustainable tourism.

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“…Tourist preference indicates visitors’ perceptions and judgements of an experience after an actual visitation, and can be positive, negative or neutral [ 18 ]. Satisfaction and preference influence and solidify change in consumer-driven industries, such as tourism, as the success of a venue is highly dependent on tourists’ satisfaction with its activities and on their willingness to pay for these activities [ 19 ]. High satisfaction rates are imperative to the continual success of a venue as satisfaction determines the likelihood of repeat business and positive word-of-mouth recommendations to friends, family and online review forums [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

How Tourist Preference and Satisfaction Can Contribute to Improved Welfare Standards at Elephant Tourism Venues in Thailand

Flower

Burns

Jones

2021

Animals

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Consumer satisfaction and preference can be integral in influencing and solidifying change in user-driven industries such as tourism. High satisfaction rates are imperative to the continual success of a venue as satisfaction determines the likelihood of repeat business and positive recommendations to friends, family and online review forums. Tourist preference for ecocentric tourism venues, over anthropocentric ones, appears to be increasing in elephant tourism venues (ETVs) in Thailand. To explore this, we visited twelve ETVs in Chiang Mai, Thailand, and compared the preferences and satisfaction of tourists who visited riding and non-riding venues toward the use of captive elephants in an entertainment setting. We found that tourists visited riding and non-riding ETVs for similar reasons, primarily due to recommendations from friends and reviews, and because the venue had a good reputation. Tourist preference for higher welfare standards was observed at venues where participants directly observed poor treatment of the elephants. Tourist satisfaction may be impacted by higher elephant welfare standards; therefore, tourists have the ability to influence the elephant tourism industry by demanding better living conditions for elephants and only financially supporting ETVs with higher welfare standards.

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A Model to Measure Tourist Preference toward Scenic Spots Based on Social Media Data: A Case of Dapeng in China

Cited by 27 publications

References 11 publications

An Innovative Tour Recommendation System using Graph Algorithms

An Innovative Tour Recommendation System using Graph Algorithms

The Use of Information and Communications Technology in Vocational Education and Training—Premise of Sustainability

How Tourist Preference and Satisfaction Can Contribute to Improved Welfare Standards at Elephant Tourism Venues in Thailand

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