Research On The Tourist Destination Perception Image Of Self-driving Tourists In Tianjin

With the development of national economy and the Internet technology,the feasibility and convenience of tourists travel have also been improved.With the increase of family car ownership,Self-driving tour has developed rapidly.Internet has become the main channel for tourists to obtain tourism information,that promoted the development of self-driving tour.Massive user-generated content such as travel notes,forums and comments generated and disseminated on the Internet,has become the main way for tourists to obtain and share relevant tourism information,and also providing suggestions for tourists to optimize their decisions,especially for self-driving tour,which with high freedom and need much more information.User-generated content has important reference value for self-driving tourists’ activities arrangement.The massive web text not only provides suggestions for tourists to make decisions,but also is one of the important bases for analyzing the perceived image of tourist destination and improving the image of tourist destination.In the context of the rapid development of self-driving tour,this research takes Tianjin as the tourist destination for self-driving tourists,takes web travel notes as the sample data for perception image analysis,uses the research paradigm of grounded theory and qualitative analysis software Nvivo11 to encode and analyze the sample data.Finally,based on the " cognitive-affective model",research got the cognitive image,affective image and integrity image of Tianjin as the tourist destination of self-driving tourists.Carrying out three-level coding of cognitive image of Tianjin,research got totally 595 nodes and 17,837 reference points,and 26 child-nodes which are culture landscape and facilities,natural landscape and architectures,history and culture,animals and plants,cuisines,city characteristics,architectural characteristics,festivals and events,people,COVID-19 epidemic effects,meteorology,road traffic,parking lots,tourism and entertainment activities etc,Then,Through the selective coding,it is found that the cognitive image of self-driving tourists in Tianjin mainly focuses on the perception of five tree-nodes: tourism attractions,tourism atmosphere and environment,tourism entertainment and consumption,tourism service facilities and self-driving tour’s environment.Carrying out three-level coding of affective image of Tianjin,got totally 766 reference points,and There were 636 positive emotion reference points,accounting for 83.03%.Self-driving tourists’ emotional perception of Tianjin as a tourist destination is mainly positive emotion,The two dimensions of "pleasant--depressed" and "excited--frustrated" in the structure of emotional experience have higher points.In the end,through the analysis,induction and summary of cognitive images and affective images,research got the integrity perception images of self-driving tourists to Tianjin as a tourist destination,which are historical and cultural city,beautiful Tianjin,folk art town,leisure city,gastronomy city,cost-effective experience of tourism environment,tourism services and self-driving environment need to be improved.Based on the analysis and discussion of self-driving tourists’ perception image of Tianjin as a tourist destination,found that Tianjin has problems in the development of self-driving tour and the image construction,and then put forward some suggestions to solve the problems above,such as optimizing the self-driving tour’s facilities and services,perfecting the self-driving tour’s product system,improving the market service level,distinguishing the development strategies of different images,and enriching tourists’ perception channels,to promote the further development of Tianjin self-driving tour’s market,improve the image of Tianjin as a tourist destination.