IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3679-d1384714.html
   My bibliography  Save this article

Construction and Evaluation of a Traditional Village Tourism Imagery Element System Based on Xidi Village

Author

Listed:
  • Shanting Zheng

    (School of Tourism and Convention and Exhibition, Hefei University, Hefei 230601, China)

  • Lingli Li

    (School of Tourism and Convention and Exhibition, Hefei University, Hefei 230601, China)

  • Peng Fang

    (School of Economics and Management, Anhui Agricultural University, Hefei 230036, China)

  • Hao Chen

    (School of Economics and Management, Anhui Agricultural University, Hefei 230036, China)

Abstract

Tourism imagery is one of the decision variables for tourists’ travel intentions and behavior. Traditional village tourism imagery studies mostly focus on tourist space, landscape imagery, etc. Few overall imagery studies have been conducted. This paper integrates non-structural and structural methods, uses three-level coding based on rooting theory, constructs a traditional village tourism place imagery element system through network text analysis, designs and analyzes questionnaires accordingly, and empirically evaluates the tourism imagery of Xidi village in Anhui Province. The results show that the overall satisfaction of tourists is less than important, indicating that there is a systematic deficiency in the perception of tourism place imagery of Xidi village. The dimensional IPA analysis shows that the three dimensions of natural landscape, social landscape, and physical cuisine are in the improvement area. According to the supplementary IPA factor analysis, factors such as natural phenomena, historical figures, clan history, watershed, accommodation, ticket systems, and guide services need important attention, improvement, and promotion. The results of the emotional analysis are dominated by positive images, but attention needs to be paid to the negative impact of negative images. Based on the above findings, recommendations are proposed to improve the layout of the development, and enhance the service facilities and quality based on these findings.

Suggested Citation

  • Shanting Zheng & Lingli Li & Peng Fang & Hao Chen, 2024. "Construction and Evaluation of a Traditional Village Tourism Imagery Element System Based on Xidi Village," Sustainability, MDPI, vol. 16(9), pages 1-14, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3679-:d:1384714
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3679/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/9/3679/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Ching-Fu & Phou, Sambath, 2013. "A closer look at destination: Image, personality, relationship and loyalty," Tourism Management, Elsevier, vol. 36(C), pages 269-278.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pingping Fang & Yonghong Liu & Xiangtian Bai & Zhengbei Niu, 2025. "Redesigning Sustainable Rural Tourism: A Stakeholder-Centered Approach to Interest Symbiosis in Post-Planning Villages," Sustainability, MDPI, vol. 17(5), pages 1-22, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sanja Kovačić & Tamara Jovanović & Miroslav D. Vujičić & Alastair M. Morrison & James Kennell, 2022. "What Shapes Activity Preferences? The Role of Tourist Personality, Destination Personality and Destination Image: Evidence from Serbia," Sustainability, MDPI, vol. 14(3), pages 1-22, February.
    2. NaHyun Lee & Bong-Seok Kim, 2023. "Differences of Host Country-Destination Image Assessment for International Students According to Risk Perception in COVID-19 Tourism," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Mohammad Rashed Hasan Polas & Ratul Kumar Saha & Mosab I. Tabash, 2022. "How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3659-3686, March.
    4. Mohamed Abdalla Elsayed Hassan & Konstantina Zerva & Silvia Aulet, 2021. "Brand Personality Traits of World Heritage Sites: Text Mining Approach," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    5. Wenkun Zhang & Yanan Wang & Tao Zhang, 2021. "Can “Live Streaming†Really Drive Visitors to the Destination? From the Aspect of “Social Presenceâ€," SAGE Open, , vol. 11(1), pages 21582440211, March.
    6. Yunduk Jeong & Suk-Kyu Kim & Jae-Gu Yu, 2019. "Sustaining Sporting Destinations through Improving Tourists’ Mental and Physical Health in the Tourism Environment: The Case of Korea," IJERPH, MDPI, vol. 17(1), pages 1-14, December.
    7. Seung-Hun Shin & Sung-Byung Yang & Kichan Nam & Chulmo Koo, 2017. "Conceptual foundations of a landmark personality scale based on a destination personality scale: Text mining of online reviews," Information Systems Frontiers, Springer, vol. 19(4), pages 743-752, August.
    8. Amanda Belarmino & Carola Raab & Tevfik Demirciftci, 2020. "The impact of resort fees on perceived fairness and destination brand image: an exploratory study," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(2), pages 129-137, April.
    9. José Manuel Hernández-Mogollón & Helena Alves & Ana María Campón-Cerro & Elide Di-Clemente, 2021. "Integrating transactional and relationship marketing: a new approach to understanding destination loyalty," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 18(1), pages 3-26, March.
    10. Cardoso, Lucília & Dias, Francisco & de Araújo, Arthur Filipe & Andrés Marques, Maria Isabel, 2019. "A destination imagery processing model: Structural differences between dream and favourite destinations," Annals of Tourism Research, Elsevier, vol. 74(C), pages 81-94.
    11. Stylos, Nikolaos & Bellou, Victoria & Andronikidis, Andreas & Vassiliadis, Chris A., 2017. "Linking the dots among destination images, place attachment, and revisit intentions: A study among British and Russian tourists," Tourism Management, Elsevier, vol. 60(C), pages 15-29.
    12. Ali Abumalloh, Rabab & Ibrahim, Othman & Nilashi, Mehrbakhsh, 2020. "Loyalty of young female Arabic customers towards recommendation agents: A new model for B2C E-commerce," Technology in Society, Elsevier, vol. 61(C).
    13. Sun, Minghui & Zhang, Xiaoyu & Ryan, Chris, 2015. "Perceiving tourist destination landscapes through Chinese eyes: The case of South Island, New Zealand," Tourism Management, Elsevier, vol. 46(C), pages 582-595.
    14. Breitsohl, Jan & Garrod, Brian, 2016. "Assessing tourists' cognitive, emotional and behavioural reactions to an unethical destination incident," Tourism Management, Elsevier, vol. 54(C), pages 209-220.
    15. Dedeoglu, Bekir Bora & Boğan, Erhan & Kucukergin, Kemal Gurkan & Birinci, Muhammet Cenk, 2023. "Are tourists afraid of the unknown? Examining the role of travel constraints and tourist xenophobia with symmetric and asymmetric perspectives," Journal of Business Research, Elsevier, vol. 165(C).
    16. Xuhui Zhang & Chen Zhang & Yanan Li & Ziyu Xu & Zhenfang Huang, 2021. "Hierarchical Fusion Process of Destination Image Formation: Targeting on Urban Tourism Destination," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    17. Xiaoying Chen & Brian H. Yim & Ziqing Tuo & Liangjun Zhou & Ting Liu & James J. Zhang, 2021. "“One Event, One City”: Promoting the Loyalty of Marathon Runners to a Host City by Improving Event Service Quality," Sustainability, MDPI, vol. 13(7), pages 1-13, March.
    18. WooHyuk Kim & Kristin Malek & NamJo Kim & SeungHyun “James” Kim, 2017. "Destination Personality, Destination Image, and Intent to Recommend: The Role of Gender, Age, Cultural Background, and Prior Experiences," Sustainability, MDPI, vol. 10(1), pages 1-18, December.
    19. Hultman, Magnus & Skarmeas, Dionysis & Oghazi, Pejvak & Beheshti, Hooshang M., 2015. "Achieving tourist loyalty through destination personality, satisfaction, and identification," Journal of Business Research, Elsevier, vol. 68(11), pages 2227-2231.
    20. Huynh Anh Thu Tran & Yun Seop Hwang & Cheon Yu & Seung Jick Yoo, 2018. "The Effect of Destination Social Responsibility on Tourists’ Satisfaction: The Mediating Role of Emotions," Sustainability, MDPI, vol. 10(9), pages 1-15, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3679-:d:1384714. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.