Resources Science ›› 2017, Vol. 39 ›› Issue (2): 314-324.doi: 10.18402/resci.2017.02.13

• Orginal Article • Previous Articles     Next Articles

View of tourism space image of Nanchang City on network virtual community

Yongwen ZOU(), Fengjun TIAN()   

  1. 1. College of Tourism and City Management,Jiangxi University of Finance and Economics,Nanchang 330013,China
    2. Jiangxi Tourism Development Research Center,Nanchang 330013,China
  • Received:2016-06-14 Revised:2016-11-09 Online:2017-02-25 Published:2017-02-20

Abstract:

The popularization and application of network media not only expands the perception of urban tourism spatial images,but also impacts on the construction of urban tourism space images. Chinese research on urban tourism space images concentrates on the real space level and not enough on network text space. Here,we chose Chinese comments on Nanchang Tourism on the Honeycomb travel network as research material. Our method combined content analysis and semantic network analysis to analyze network text Nanchang travel space images and presentation elements. We found that from the aspect of evaluation of tourism space images,the ‘square’ is the most important scenic spot tourism image,‘August 1st’ is the most important cultural tourism image,‘tickets’ and ‘night’ are core keywords closely associated with unique tourist attraction images,and ‘urban landscape style’ is the theme of tourism in Nanchang city environment image most preferred by internet commentators. Emotional evaluation images of Nanchang Tourism are totally positive and active. From the aspect of structural tourism space images,Nanchang core tourism Cognitive Image is ‘square’. Autumn water Square and Bayi Square are central recreation and business districts respectively in the new and old downtowns. The pattern of Nanchang tourism space image extends from Bayi Square to Pavilion of Prince Teng and the autumn square area,which form three important tourism image areas:Bayi Square,Pavilion of Prince Teng and Autumn water Square. Image elements show the characteristics of a centralized distribution downtown and a dispersed distribution in peripheral areas.

Key words: network virtual community, appraisal tourism space image, structural tourism space image, semantic network analysis, Nanchang city