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Analysis of Image Perception and Influencing Factors Based on Online Reviews: Take Kaiping Watchtowers and Villages of China as an Example

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Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design (HCII 2022)

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Abstract

With the arrival of the era of big data, text databases provide new ideas for the study of rural tourism destination image perception. The article takes Ctrip.com and other Chinese tourism websites and uses content analysis and grounded theory research methods to analyze the original paper, withdraws high-frequency characteristic words of Kaiping watchtower, explores tourists’ overall image perception and emotional evaluation. The results showed that: (1) “watchtower” “Kaiping” and “architecture” are the basic cognition of the tourist image of Kaiping watchtower, the specific cognition of watchtowers can be subdivided into four aspects of architectural image, artistic atmosphere, architectural function and human history; (2) Visitors to the overall image shows the layout of the watchtowers, architectural decoration, the history of overseas Chinese deep into the core circle of divergent characteristics and the tourist environment, local food, Chinese and Western culture as the edge of the distribution characteristics of the circle; (3) Visitors’ emotional expression is dominated by positive positive emotions, followed by neutral and least negative; (4) the main factors affecting the expression of tourists’ negative emotions are the scenic area management factor, the Chinese historical factor, the architectural property factor and the human environment factor.

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References

  1. Yang, X., Pan, B., Evans, J.A., Lv, B.: Forecasting Chinese tourist volume with search engine data. Tour. Manage. 46, 386–397 (2015). https://doi.org/10.1016/j.tourman.2014.07.019

    Article  Google Scholar 

  2. Li, X., Pan, B., Law, R., Huang, X.: Forecasting tourism demand with composite search index. Tour. Manage. 59, 57–66 (2017). https://doi.org/10.1016/j.tourman.2016.07.005

    Article  Google Scholar 

  3. Mariani, M., Baggio, R., Fuchs, M., Höepken, W.: Business intelligence and big data in hospitality and tourism: a systematic literature review. Int. J. Contemp. Hosp. Manag. 30, 3514–3554 (2018). https://doi.org/10.1108/ijchm-07-2017-0461

    Article  Google Scholar 

  4. Boyd, D., Crawford, K.: Critical question for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf. Commun. Soc. 15, 662–679 (2012)

    Article  Google Scholar 

  5. Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A., Khan, S.U.: The rise of “big data” on cloud computing: Review and open research issues. Inf. Syst. 47, 98–115 (2015). https://doi.org/10.1016/j.is.2014.07.006

  6. Li, J., Xu, L., Tang, L., Wang, S., Li, L.: Big data in tourism research: a literature review. Tour. Manage. 68, 301–323 (2018). https://doi.org/10.1016/j.tourman.2018.03.009

    Article  Google Scholar 

  7. Chen, G., et al.: Federation in cloud data management: challenges and opportunities. IEEE Trans. Knowl. Data Eng. 26, 1670–1678 (2014)

    Article  Google Scholar 

  8. Chen, G., Wu, S., Zhou, J., Tung, A.K.H.: Automatic itinerary planning for traveling services. IEEE Trans. Knowl. Data Eng. 26, 514–527 (2014). https://doi.org/10.1109/tkde.2013.46

    Article  Google Scholar 

  9. Zhu, Z., Shou, L., Chen, K.: Get into the spirit of a location by mining user-generated travelogues. Neurocomputing 204, 61–69 (2016). https://doi.org/10.1016/j.neucom.2015.04.129

    Article  Google Scholar 

  10. Baloglu, S., McCleary, K.W.: A model of destination image formation. Ann. Tour. Res. 26, 868–897 (1999)

    Article  Google Scholar 

  11. Grosspietsch, M.: Perceived and projected images of Rwanda: visitor and international tour operator perspectives. Tour. Manage. 27, 225–234 (2006). https://doi.org/10.1016/j.tourman.2004.08.005

    Article  Google Scholar 

  12. Selby, M., Morgan, N.J.: Reconstruing place image: a case study of its role in destination market research. Tour. Manage. 17, 287–294 (1996)

    Article  Google Scholar 

  13. MacKay, K.J., Fesenmaier, D.R.: Pictorial element of destination in image formation. Ann. Tour. Res. 24, 537–565 (1997)

    Article  Google Scholar 

  14. Molina, A., Esteban, Á.: Tourism brochures: usefulness and image. Ann. Tour. Res. 33, 1036–1056 (2006). https://doi.org/10.1016/j.annals.2006.05.003

    Article  Google Scholar 

  15. Yüksel, A., Akgül, O.: Postcards as affective image makers: an idle agent in destination marketing. Tour. Manage. 28, 714–725 (2007). https://doi.org/10.1016/j.tourman.2006.04.026

    Article  Google Scholar 

  16. Beerli, A., Martı́n, J.D.: Tourists’ characteristics and the perceived image of tourist destinations: a quantitative analysis—a case study of Lanzarote, Spain. Tour. Manage. 25, 623–636 (2004). https://doi.org/10.1016/j.tourman.2003.06.004

  17. Martín, H.S, del Bosque, I.A.R.: Exploring the cognitive–affective nature of destination image and the role of psychological factors in its formation. Tour. Manage. 29, 263–277 (2008). https://doi.org/10.1016/j.tourman.2007.03.012

  18. Hong-bumm, K.: Perceived attractiveness of Korean destinations. Ann. Tour. Res. 25, 340–361 (1998)

    Google Scholar 

  19. Sönmez, S.F.: Tourism, terrorism, and political instability. Ann. Tour. Res. 25, 416–447 (1998)

    Article  Google Scholar 

  20. Kim, H., Richardson, S.L.: Motion picture impacts on destination images. Ann. Tour. Res. 30, 216–237 (2003). https://doi.org/10.1016/s0160-7383(02)00062-2

    Article  Google Scholar 

  21. Frost, W.: Braveheart-ed Ned Kelly: historic films, heritage tourism and destination image. Tour. Manage. 27, 247–254 (2006). https://doi.org/10.1016/j.tourman.2004.09.006

    Article  Google Scholar 

  22. Mercille, J.: Media effects on image: the Case of Tibet. Ann. Tour. Res. 32, 1039–1055 (2005). https://doi.org/10.1016/j.annals.2005.02.001

    Article  Google Scholar 

  23. Smith, A.: Reimaging the city: the value of sport initiatives. Ann. Tour. Res. 32, 217–236 (2005)

    Article  Google Scholar 

  24. Kim, S.S., Morrsion, A.M.: Change of images of South Korea among foreign tourists after the 2002 FIFA World Cup. Tour. Manage. 26, 233–247 (2005). https://doi.org/10.1016/j.tourman.2003.11.003

    Article  Google Scholar 

  25. Yi, X., Fu, X., Yu, L., Jiang, L.: Authenticity and loyalty at heritage sites: the moderation effect of postmodern authenticity. Tour. Manage. 67, 411–424 (2018). https://doi.org/10.1016/j.tourman.2018.01.013

    Article  Google Scholar 

  26. Camprubí, R., Coromina, L.: Content analysis in tourism research. Tour. Manage. Perspect. 18, 134–140 (2016). https://doi.org/10.1016/j.tmp.2016.03.002

    Article  Google Scholar 

  27. Lian, T., Yu, C.: Representation of online image of tourist destination: a content analysis of Huangshan. Asia Pacific J. Tour. Res. 22, 1063–1082 (2017). https://doi.org/10.1080/10941665.2017.1368678

    Article  Google Scholar 

  28. Glaser, B.G., Strauss, A.L.: The discovery of grounded theory: strategies for qualitative research. Nurs. Res. 17, 377–380 (1967). https://doi.org/10.2307/2575405

    Article  Google Scholar 

  29. Pandit, N.R.: The creation of theory: a recent application of the grounded theory method. Qual. Rep. 2, 1–15 (1996). https://doi.org/10.46743/2160-3715/1996.2054

    Article  Google Scholar 

  30. Strauss, A., Corbin, J.: Grounded Theory Methodology: An Overview. Handbook of qualitative research thousand oaks sage publications (1994)

    Google Scholar 

  31. Noble, H., Mitchell, G.: What is grounded theory? Evid. Based Nurs. 19, 34–35 (2016). https://doi.org/10.1136/eb-2016-102306

    Article  Google Scholar 

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Authors and Affiliations

  1. Shouzhan New District, Fuzhou University of International Studies and Trade, No. 28 Yuhuan Road, Changle, 350202, Fujian, China

    Xi Xu

  2. Khon Kaen University, 123 Mittraphap Road, Khon Kaen, 40002, Thailand

    Xi Xu

  3. College of Tourism, Huaqiao University, No. 269 Chenghua North Road, Quanzhou, 362021, China

    Hai Lin

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  1. Xi Xu
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  2. Hai Lin
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Correspondence to Hai Lin .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

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Xu, X., Lin, H. (2022). Analysis of Image Perception and Influencing Factors Based on Online Reviews: Take Kaiping Watchtowers and Villages of China as an Example. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_30

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  • DOI: https://doi.org/10.1007/978-3-031-06053-3_30

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-06053-3

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