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Research on Tourist Perception of Ancient Town Tourist Destination Based on Network Evaluation -- A Case Study of Qingyan Ancient Town

Received: 5 December 2022     Accepted: 23 December 2022     Published: 28 December 2022
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Abstract

As a special tourist destination completely different from the modern life scene, the ancient towns are favored by tourists all over the world. Ancient towns can make tourists temporarily forget the noise and fatigue of the city, and harvest different scenery, joy and experience. They are very promising and popular tourist destinations. However, when the ancient town tourism is developing in full swing, many problems also appear. Scholars try to study the ancient town tourism from various perspectives to promote its development. This paper from the perspective of tourists’ perception, mainly studied the tourists' perception to the ancient town and proposed suggestions for the problems reflected in tourists' perception, based on the network evaluation data, using the network text analysis method, taking Qingyan Ancient Town as an example. Then there were high-frequency words analysis and theme words analysis to obtain "portrait" of tourists' perception in Qingyan Ancient Town. After that, tourists’ emotion analysis was made and the results of tourists' emotion analysis were obtained. The last was the summary, some suggestions were put forward in order to guide the sustainable and healthy development development of the Qingyan Ancient Town and provide reference for the development of other ancient towns.

Published in International Journal of Business and Economics Research (Volume 11, Issue 6)
DOI 10.11648/j.ijber.20221106.13
Page(s) 321-324
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Network Evaluation, Ancient Town, Tourist Destination, Tourist Perception Portrait

References
[1] Liu Li. (2005). Research on Tourism Perception Survey and Tourism Protection and Development in Tongli Ancient Town. (master's thesis, Anhui Normal University). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD0506&filename=2005102086.nh
[2] Central People's Government of the People’s Republic of China, Regulations on the Protection of Famous Historical and Cultural Cities, Towns and Villages, http://www.gov.cn/zhengce/2020-12/27/content_5574469.htm
[3] Tan Hong. (2010). Guarantee mechanism of ancient town protection and development. Journal of Urban Problems. (10), 55-60. doi: 10.13239/j.bjsshkxy.cswt.2010.10.016.
[4] Wang Dawu., & Zheng Shiqing. (2010). On the Five Relations of Tourism Development in Ancient Town. Journal of Tourism Science. (04), 60-65+76. doi: 10.16323/j.cnki.lykx.2010.04.005.
[5] Ming Qingzhong., & Duan Chao. (2014). Spatial reconstruction of ancient town tourist landscape based on spatial production theory. Journal of Yunnan Normal University (Philosophy and Social Sciences edition) (01), 42-48.
[6] Wu Limin, Huang Zhenfang, Tan Zhijuan, Hou Bing., & Chen Xiaoyan. (2015). Residents' perception of tourism influence and its formation mechanism in Jiangnan Ancient Cultural Town: A case study of Tongli. Journal of Human Geography. (04), 143-148. doi: 10.13959/j.issn.1003-2398.2015.04.022.
[7] Tosun, C. (2002). Host perceptions of impacts. Annals of Tourism Research, 29 (1), 231-253.
[8] Xiao Qiong. (2009). Research on Sustainable development of ethnic tourism towns based on stakeholders. Journal of Urban Development Studies. (10), 102-105.
[9] Wickens, E. (2002). The sacred and the profane: a tourist typology. Annals of Tourism Research, 29 (3), 834-851.
[10] Wang Yi, Huang Zhenfang. (2015). Research on Cultural Tourism Brand Marketing Strategy of Tongli Ancient Town Based on tourist perception. Journal of Business Research. (09), 179-185. doi: 10.13902/j.cnki.syyj.2015.09.026.
[11] Hu Wangsheng, Tan Xiaolin., & Pan Liquan. (2014). A study on the influence of tourism authenticity perception on tourists' Behavioral intention: A case study of Sanhe Ancient Town in Anhui Province. Journal of Finance and Trade Research. (06), 138-144. doi: 10.19337/j.cnki.34-1093/f.2014.06.017.
[12] Wang Yuan, Xu Xin, Feng Xuegang., & Wu Wenzhi. (2013). A study of ancient town tourism image perception based on text mining: A case study of Zhujiajiao. Journal of Tourism Science. (05), 86-95. doi: 10.16323/j.cnki.lykx.2013.05.006.
[13] Gu Jianping, Wang Yuanbin, Liu Guiwen., & Tian Zongshun. (2019). Tourism image perception mining of tourists based on text Big data: A case study of Chongqing. Journal of Modern Urban Research. (12), 117-125.
[14] Ministry of Culture and Tourism of the People's Republic of China, Online List of National 5A-Class Tourist Attractions, http://zwgk.mct.gov.cn/zfxxgkml/zykf/202012/t20201213_919272.html
[15] Fang Yu., & Huang Xiang. (2017). A study on the image perception of Wuhan Tourist Destination -- Based on the Internet text analysis method. Journal of HuaZhong Normal University (Natural Sciences). (05), 709-714. doi: 10.19603/j.cnki.1000-1190.2017.05.023.
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  • APA Style

    Xie Liyuan, Su Jie. (2022). Research on Tourist Perception of Ancient Town Tourist Destination Based on Network Evaluation -- A Case Study of Qingyan Ancient Town. International Journal of Business and Economics Research, 11(6), 321-324. https://doi.org/10.11648/j.ijber.20221106.13

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    ACS Style

    Xie Liyuan; Su Jie. Research on Tourist Perception of Ancient Town Tourist Destination Based on Network Evaluation -- A Case Study of Qingyan Ancient Town. Int. J. Bus. Econ. Res. 2022, 11(6), 321-324. doi: 10.11648/j.ijber.20221106.13

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    AMA Style

    Xie Liyuan, Su Jie. Research on Tourist Perception of Ancient Town Tourist Destination Based on Network Evaluation -- A Case Study of Qingyan Ancient Town. Int J Bus Econ Res. 2022;11(6):321-324. doi: 10.11648/j.ijber.20221106.13

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  • @article{10.11648/j.ijber.20221106.13,
      author = {Xie Liyuan and Su Jie},
      title = {Research on Tourist Perception of Ancient Town Tourist Destination Based on Network Evaluation -- A Case Study of Qingyan Ancient Town},
      journal = {International Journal of Business and Economics Research},
      volume = {11},
      number = {6},
      pages = {321-324},
      doi = {10.11648/j.ijber.20221106.13},
      url = {https://doi.org/10.11648/j.ijber.20221106.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20221106.13},
      abstract = {As a special tourist destination completely different from the modern life scene, the ancient towns are favored by tourists all over the world. Ancient towns can make tourists temporarily forget the noise and fatigue of the city, and harvest different scenery, joy and experience. They are very promising and popular tourist destinations. However, when the ancient town tourism is developing in full swing, many problems also appear. Scholars try to study the ancient town tourism from various perspectives to promote its development. This paper from the perspective of tourists’ perception, mainly studied the tourists' perception to the ancient town and proposed suggestions for the problems reflected in tourists' perception, based on the network evaluation data, using the network text analysis method, taking Qingyan Ancient Town as an example. Then there were high-frequency words analysis and theme words analysis to obtain "portrait" of tourists' perception in Qingyan Ancient Town. After that, tourists’ emotion analysis was made and the results of tourists' emotion analysis were obtained. The last was the summary, some suggestions were put forward in order to guide the sustainable and healthy development development of the Qingyan Ancient Town and provide reference for the development of other ancient towns.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Research on Tourist Perception of Ancient Town Tourist Destination Based on Network Evaluation -- A Case Study of Qingyan Ancient Town
    AU  - Xie Liyuan
    AU  - Su Jie
    Y1  - 2022/12/28
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijber.20221106.13
    DO  - 10.11648/j.ijber.20221106.13
    T2  - International Journal of Business and Economics Research
    JF  - International Journal of Business and Economics Research
    JO  - International Journal of Business and Economics Research
    SP  - 321
    EP  - 324
    PB  - Science Publishing Group
    SN  - 2328-756X
    UR  - https://doi.org/10.11648/j.ijber.20221106.13
    AB  - As a special tourist destination completely different from the modern life scene, the ancient towns are favored by tourists all over the world. Ancient towns can make tourists temporarily forget the noise and fatigue of the city, and harvest different scenery, joy and experience. They are very promising and popular tourist destinations. However, when the ancient town tourism is developing in full swing, many problems also appear. Scholars try to study the ancient town tourism from various perspectives to promote its development. This paper from the perspective of tourists’ perception, mainly studied the tourists' perception to the ancient town and proposed suggestions for the problems reflected in tourists' perception, based on the network evaluation data, using the network text analysis method, taking Qingyan Ancient Town as an example. Then there were high-frequency words analysis and theme words analysis to obtain "portrait" of tourists' perception in Qingyan Ancient Town. After that, tourists’ emotion analysis was made and the results of tourists' emotion analysis were obtained. The last was the summary, some suggestions were put forward in order to guide the sustainable and healthy development development of the Qingyan Ancient Town and provide reference for the development of other ancient towns.
    VL  - 11
    IS  - 6
    ER  - 

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Author Information
  • School of Business Administration, GuiZhou University of Finance and Economics, Guiyang, China

  • School of Business Administration, GuiZhou University of Finance and Economics, Guiyang, China

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