Research On The Self-driving Tourists' Experience Of National First Scenic Boulevard

In recent years,a series of policy documents related to scenic byways have been issued at the national level,and the development of scenic byways in various places is also in full swing.The growing self-driving market provides plenty of tourists for the development of scenic byways,and the scenic byways are welcoming the development boom.National First Scenic Boulevard is in the forefront of the development of scenic byways,realizing the deep integration of transportation and tourism,providing transportation guarantee for the development of all-for-one tourism,providing excellent services for tourists,and effectively driving local poverty alleviation.However,while scenic byways are rapidly developing,it also brings a series of problems.At present,most of the related researches on scenic byways in China start from the supply level and lack the research on the demand level.Under the background of experience economy,it is imperative to meet the needs of tourists and complete the transformation of tourism industry from"seller's market"to"buyer's market".Therefore,from the perspective of self-driving tourists,it is of great significance to understand the needs of self-driving tourists and to study the tourism experience of self-driving tourists on National First Scenic Boulevard.In the Internet age,travel notes are one of the important data sources for studying tourism experience.Therefore,this paper selects 90 travel notes of National First Scenic Boulevard as the data source,analyzes 178,118 characters and 4,126 photos in the travel notes,and studies self-driving tourists'experience on National First Scenic Boulevard.This paper mainly adopts content analysis method and grounded theory to study the law and characteristic of the self-driving experience of National First Scenic Boulevard from four aspects:self-driving motivation,self-driving tourists'perception,sentiment analysis and photographing index.Firstly,by carefully reading the travel notes,16 self-driving tourists'motivations were extracted,including 10"push"motivations and 6"pull"motivations.Secondly,using ROST CM6 software to make content analysis on the travel texts,extracted the top 100 high-frequency words,classified the high-frequency words,and extracted the self-driving tourists'perception of National FirstScenic Boulevard based on texts.At the same time,using Nvivo 11.0 software to encode the travel photos,through three phase coding,extracted self-driving tourists' perception based on photos.Through comparative analysis,it is concluded that the self-driving tourists'perception of National First Scenic Boulevard includes five aspects,including resources,facilities,traffic,products and activities,and social interaction,and includes 16 elements.Furthermore,under the guidance of emotional geography,the author explores the spatial change rules of tourists'emotion on National First Scenic Boulevard,and finds that there are two main reasons for the peak experience of tourists'positive emotions:objective conditions and subjective cognition.There are five reasons for negative emotions.Finally,analyzes the tourists'photographing index and finds out that there are four reasons for the high gaze of the passengers.In addition,the analysis of the tourists,emotional fluctuations and the photographing index shows that the scenic spots(locations)/sections of the tourists'peak experience and the scenic spots(locations)/sections of the highly gazing are basically the same,indicating that taking photos on the journey is an import:ant way to experience,and experience is the ultimate purpose of taking photos.Based on the above analysis,this paper proposes three major optimization strategies:"motivational perspective:creating the factors of'pull'of destinations","perceptual and emotional perspective:catching the attention of tourists,improving tourists'emotional experience"and"photographing index perspective:referring to the'photographing index' and optimizing the operating strategies".