A Study On The Characteristics Of Network Attention About National 5A Level Scenic Spots In The Southwest Of China

With the arrival of information age and massive tourism era,famous scenery of nation has become the main market of Cenozoic era's which are 80 s,90s,and00 s who are informatization.The internet reshapes the development pattern of tourism and strengthens integration of tourism market China will be a nation of online tour consumption.As the opposite side of online life,tourism has gradually become a new life style of them whose demand for 5A level scenic spots are developing towards a kind of direction which possess some features—-short time,multi-frequency,life,vacation,diversification,and the demand will further develop.Attracting tourists' attention,meeting people's deep spiritual and cultural needs,which has become the common compete object and strategy point of all 5A scenic spot products.This paper which is based on 38 5A scenic spots in Southwest China,and using Baidu index platform to obtain the network attention of 38 5A scenic spots in Southwest China in 2014~2018,and analyzing the time characteristics,spatial characteristics and preference characteristics of 5A scenic spots in Southwest China by mathematical statistics method and ArcGIS spatial analysis method;With the help of gaze theory,attraction law,tourism behavior related theory and 3D analysis method,also this paper analyzes influencing factors of network attention distribution in 5A scenic spots in southwest China.The main contents are as follows:(1)Based on the network attention of daily data of 38 5A scenic spots in Southwest China in 2014~2018,the feature of time of network attention in 5A scenic spots is analyzed in Southwest China.The conclusions are as follows: weekly network attention equipped with a trend that is more attention on average day while less on weekend,the date of monthly network attention presents "three peaks tendency ",according to the seasonal network attention which can divided into three parts—flat season > peak season > off-season;year's characteristics are inverted " V" tendency,total network attention arrange as below 2017>2016>2015 and 2018>2014(year);During the May Day holiday,the network attention had a weekly precursor effect,and the peak of the network attention during the National Day holiday appeared in the National Day holiday;weekday intense and weekend slack generally become the features of weekly period of regional network attention,the peak period of monthly attention is concentrated in summer and autumn,and the low ebb period is concentrated in winter.(2)The ArcGIS spatial analysis method is used to analyze the spatial characteristics of the network attention of 5A scenic spots in southwest China.According to the results,the spatial distribution pattern of the 5A level scenic spots in southwest China is condensed,showing a northeast-southwest distribution pattern,with the center of gravity distributed near the Emei Mountain scenic spot in Leshan,Sichuan Province.(3)Using the classification of scenic spots,tourism preference coefficient to analyze the characteristics of tourism preference.The author finds that the choice preference of potential tourists is as below comprehensive scenic spots > natural scenic spots > humanistic scenic spots,the highest coefficient of tourism preference is Jiuzhaigou scenic spot,the lowest is Deng Xiaoping hometown scenic spot,the date presents us of the classification of tourism preference,there are one coefficient preference scenic spot,8 middle preference scenic spots,11 middle preference scenic spots and 14 weak preference scenic spots.(4)Using the function of "crowd portrait" of Baidu index to analyze the preference of tourist market to scenic spot.This paper analyzes the preference of the tourist market to the scenic spot by choosing the top seven provinces of the most scenic spot network attention.This paper pay attention to the total number of tourist markets of 5A scenic spots in Chongqing(10 cities),Sichuan(10 cities),Guizhou(11 cities),Yunnan(13 cities)and Tibet(9 cities).(5)Comparison and correlation analysis of daily average network attention data dependent variables and 7 independent variables in 5A scenic spots in Southwest China using tourism behavior correlation theory.Based on the daily average network attention data of 5A scenic spots in the southwest region in 31 provinces(cities and districts)of the mainland in 2018,the temperature,spatial distance,relative humidity,economic development level,Internet development level,distance,density,division were used as independent variables for comparison and correlation analysis.The results show that: the climate comfort accords with the tourism season;the popularity of scenic spots is related to the network attention;the spatial distance is negatively related to the network attention;the tourism season accords with the summer vacation and the golden week of National day;the economic development,internet development,economic connection and network attention are all positively related with the network attention;tourism preference,distance,density,division is also one of the factors affecting the value of network attention in scenic spots.(6)Based on the analysis,to study the current and further and development trend of domestic and abroad tourism,this paper makes the relevant suggestions from three aspects: government,scenic spot and tourist.for the southwest 5A level tourist attractions network publicity and marketing,broaden the source market,predict the passenger flow,scenic spot development provide to constructive advice,promote the sustainable development of scenic spots.