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Research on Evaluation of Smart Tourism Development Based on Mathematical Analysis

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Published:24 March 2021Publication History

ABSTRACT

The development achievements of "smart tourism" in China are obvious to all, but problems also arise in the process of its development. Based on this, this article starts from the perspective of analyzing predecessors' research results and relevant authoritative data and establishes "smart tourism" development evaluation indicators The model, based on the quantitative and qualitative analysis of the index model, finds out the current problems in the development of domestic "smart tourism", and proposes solutions accordingly, hoping to provide reference for the development of domestic "smart tourism", and hope It can help our country's "smart tourism" develop faster and healthier.

References

  1. Deng Wei. Analysis of the impact of mobile Internet on smart tourism [D]. University of Electronic Science and Technology of China, 2014 (03)Google ScholarGoogle Scholar
  2. Shen Wenxing. Research on experiential smart tourism: a constructivist perspective[D]. Wuhan University, 2014 (03)Google ScholarGoogle Scholar
  3. Xu Wendi. Research on the impact of smart tourism on self-help tourists' travel decision[D]. Jiangxi Normal University, 2018 (06)Google ScholarGoogle Scholar
  4. Duan Tingting. Research on the System Integration Evaluation of Smart Tourism [D]. Zhengzhou University, 2019 (05)Google ScholarGoogle Scholar
  5. Li Zihao. Guizhou Smart Tourism Development Evaluation Model and Empirical Research Based on Entropy Modified G1 Method [D]. Guizhou Normal University, 2019 (05)Google ScholarGoogle Scholar
  6. Ma Xiaochun. Geographic information visualization design for smart tourism [D]. Jiangnan University, 2019 (06)Google ScholarGoogle Scholar
  7. Xu Anfeng. Research on smart tourism service model based on network platform [D]. Harbin University of Science and Technology, 2019 (06)Google ScholarGoogle Scholar
  8. Liu Junlin, Fan Yunfeng. The composition, value and development trend of smart tourism[J]. Chongqing Social Sciences, 2011(10): 121--124Google ScholarGoogle Scholar
  9. Zhang Lingyun, Li Su, Liu Min. The basic concepts and theoretical system of smart tourism [J]. Tourism Tribune, 2012, 27(05): 66--73Google ScholarGoogle Scholar
  10. Fu Yeqin, Zheng Xiangmin. Research on the status quo and countermeasures of smart tourism in my country[J]. Development Research, 2013(04): 62--65Google ScholarGoogle Scholar
  11. Liao Weijun. Research on "Smart Tourism" based on the Internet of Things architecture [J]. Ecological Economy, 2013(07): 98--101, 104Google ScholarGoogle Scholar
  12. Huang Sisi. A review of domestic smart tourism research [J]. Geography and Geo-Information Science, 2014, 30(02): 97--101Google ScholarGoogle Scholar
  13. Wang Enxu. Evaluation model and empirical research on the construction level of smart tourism city based on G1-entropy [J]. Journal of Dalian University of Technology (Social Science Edition), 2014, 35(02): 68--73Google ScholarGoogle Scholar
  14. Guo Xiaodong, Li Yingfei. A review of research on smart tourism in China[J]. Tourism Forum, 2015, 8(06): 43--51Google ScholarGoogle Scholar
  15. Chen Haidi, Zhou Ye. Research on the evaluation of the level of smart tourism construction in Jiangxi Province based on the entropy modified G1 method [J]. Journal of Jiangxi Science and Technology Normal University, 2015 (06): 80--85, 95Google ScholarGoogle Scholar
  16. Huang Ping, Zeng Shaolun. A review of researches on the integration of urban agglomerations and smart tourism[J]. Ecological Economy, 2015, 31(11): 108--113Google ScholarGoogle Scholar
  17. Huang Song, Li Yanlin, Dai Pingjuan. Evaluation of the tourism competitiveness of smart tourism cities[J]. Acta Geographica Sinica, 2017, 72(02): 242--255Google ScholarGoogle Scholar
  18. Wu Haiyan. The theory and practice of developing global tourism from the perspective of smart tourism[J]. Exploration of Economic Issues, 2018, (08): 60--66Google ScholarGoogle Scholar
  19. Xu Feifei, Huang Lei. Research on the Willingness to Use the Smart Tourism System in Scenic Spots---Based on the Integrated TAM and TTF Model[J]. Tourism Tribune, 2018(08)Google ScholarGoogle Scholar
  20. Zhang Xiuying. Research on the construction and development path of smart tourism from the perspective of information ecology[J]. Economic Issues, 2018(05): 124--128Google ScholarGoogle Scholar
  21. Liu Zhiyan, Ji Junyu, Shang Bo, Li Chengye. The status and trends of smart tourism development [J]. Enterprise Economy, 2019, 38(10): 68--73Google ScholarGoogle Scholar
  22. Wu Baogang. The Application of Big Data in Smart Tourism Management------Comment on "Tourism Management" [J]. Science and Technology Management Research, 2020, 40(06):274Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Other conferences
    EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science
    December 2020
    718 pages
    ISBN:9781450389099
    DOI:10.1145/3453187

    Copyright © 2020 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 24 March 2021

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    • research-article
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    • Refereed limited

    Acceptance Rates

    EBIMCS '20 Paper Acceptance Rate112of566submissions,20%Overall Acceptance Rate143of708submissions,20%

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