Tourism Experience and Construction of Personalized Smart Tourism Program Under Tourist Psychology

Lan, Feiya; Q, Huang; Zeng, Lijin; Guan, Xiuming; Dan, Xing; Cheng, Ziyan

doi:10.3389/fpsyg.2021.691183

Cited by 20 publications

(8 citation statements)

References 41 publications

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“…is analytical approach can prioritize problems and distinguish strategic objective obstacles from tactical problems. It can also list these research objects, arrange them in the form of a matrix, and use the thinking of systematic analysis to match various factors to each other for analysis, draw a series of corresponding conclusions with specific decision making, which is conducive to leaders and managers to make more correct decisions and planning [29][30][31][32].…”

Section: Swot Analytical Methodmentioning

confidence: 99%

The Construction of Smart Tourism City and Digital Marketing of Cultural Tourism Industry under Network Propaganda Strategy

Guo

Gu²

2022

Security and Communication Networks

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With the emergence of new tourism trends such as popularized and individualized tourism, the traditional development model can no longer meet the development requirements of the new era. Therefore, the construction of tourism informatization is imperative. This work aims to enhance the promotion of tourism resources in Zhejiang Province and explore the effective promotion forms and strategies of tourism resources in Zhejiang network media. The construction of smart tourism city (STC) is taken as the research object. First, the evaluation index system and evaluation model of the construction level of STC are constructed. Besides, an empirical evaluation is conducted with the pilot project of smart tourism city construction determined by the National Tourism Administration as a case. Then, the concept of strength, weakness, opportunity, and threat (SWOT) is used to analyze the advantages, disadvantages, opportunities, and threats of Zhoushan Town’s tourism development. Finally, the model proposed here is tested. The results show that the comprehensive level of STC in 18 cities is quite different. The current average level of STC in China is 0.2791. Except for the support level of smart tourism environment that is lower than Suzhou, the rest levels of Beijing are in the first place, and the comprehensive level of STC construction is in the first place. The comprehensive level of STC construction in Suzhou ranks second, with an average level of 0.1521. Nevertheless, there is a big gap between Suzhou with Beijing. The overall evaluation satisfaction of Zhoushan Town’s tourism is in a moderate state. The analysis results of the SWOT intelligent model demonstrate that Zhoushan Town tourism should choose a growth marketing strategy. The research reported here provides a particular reference for realizing the seamless connection between the intelligent cultural tourism industry and consumers.

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Section: Swot Analytical Methodmentioning

confidence: 99%

The Construction of Smart Tourism City and Digital Marketing of Cultural Tourism Industry under Network Propaganda Strategy

Guo

Gu²

2022

Security and Communication Networks

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“…Finally, a computer-readable model is designed and constructed, which can accurately express users' interest preferences and effectively obtain the changes of their interests. In all kinds of personalized recommendation service platforms, only by establishing an accurate user interest model can we carry out the next project matching, intelligent push and other related work 10 . The process of interest modeling is shown in Figure 1.…”

Section: The Basic Theory Of Tourism Service Recommendation 21 Person...mentioning

confidence: 99%

Personalized tourism information push algorithm based on smart tourism big data analysis model

Zhang

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

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“… Mihalič (2000) reported that tourist destinations, tourist routes, and the tourism industry are the main factors to use when measuring tourism competitiveness. Scholars have found that the main influencing factors of tourism competitiveness are human resources, talent competition, image marketing, and knowledge-based management ( Wei, 2000 ; Nie, 2006 ; Zhang et al, 2011 ; Cvelbar et al, 2016 ; Yang et al, 2020 ; Lan et al, 2021 ). In addition, tourists’ perceptions and the level of scientific and technological development of tourist destinations have a significant impact on the competitiveness of urban tourism destinations.…”

Section: Literature Reviewmentioning

confidence: 99%

Tourism Competitiveness Evaluation: Evidence From Mountain Tourism in China

et al. 2022

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The evaluation of tourism competitiveness is an important tool for analyzing the potential of tourism in a specific context. Enshi Autonomous Prefecture (EAP) in China is selected as a case through which to explore the potential of mountain tourism and its competitiveness in the tourism industry. This study develops EAP’s mountain tourism competitiveness model focusing on three criteria: core competitiveness of mountain tourism, the economic environment’s competitiveness, and infrastructure competitiveness. Context-specific customized evaluation index has been applied to data collected from EAP Statistical Yearbook for 2005–2014. The study reveals that the value of EAP’s mountain tourism core competitiveness, economic and environmental competitiveness, and infrastructure competitiveness are 84.292, 13.4, and 2.308%, respectively. When tourism core competitiveness is increased by one unit, EAP’s mountain tourism competitiveness will increase by 0.84292 units. Similarly, when economic environment competitiveness is increased by one unit, EAP’s mountain tourism competitiveness will increase by 0.134 units. EAP’s mountain tourism competitiveness increases by 0.02308 units when infrastructure competitiveness increases by one unit. The major reasons for low levels of competitiveness were lack of awareness of the county authority, a low level of cooperation, and weak infrastructure. The recommendations from the study’s findings are as follows. Firstly, the county authority should appropriately improve the relationship between competition and cooperation, maintaining cooperation in competition, and competition in cooperation. Secondly, the county authority should strengthen communication by establishing an effective coordinated mechanism. Thirdly, the county authority should improve the sense of cooperation and jointly develop the mountain tourism market. Fourthly, the county authority should improve the construction of tourism infrastructure and break down the barriers to tourism cooperation. The study’s findings help develop a “win-win” cooperation mechanism within the competition and support the sustainable development of the mountain tourism industry while reducing poverty and promoting the revitalization of the mountains of China.

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Tourism Experience and Construction of Personalized Smart Tourism Program Under Tourist Psychology

Cited by 20 publications

References 41 publications

The Construction of Smart Tourism City and Digital Marketing of Cultural Tourism Industry under Network Propaganda Strategy

The Construction of Smart Tourism City and Digital Marketing of Cultural Tourism Industry under Network Propaganda Strategy

Personalized tourism information push algorithm based on smart tourism big data analysis model

Tourism Competitiveness Evaluation: Evidence From Mountain Tourism in China

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